🎯 A curated list of papers on 3D generation with visual previews - see research at a glance.
🌟 Papers are organized by different 3D representations: Mesh, SDF (Signed Distance Function), Point Cloud, NeRF, and more.
📚 We also include papers that, while not strictly about generation, demonstrate valuable techniques and insights for 3D generation research.
🏠 You can also check our Project Homepage.
🔥🔥🔥 Also check out our awesome list about Neural CAD.
Articulated 3D • Mesh • Implicit Shape Representations • Point Cloud • NeRF • 3D Gaussian Splatting • CAD • Voxel • Part-based 3D • 3D Editing • Automatic Rigging • Others • Industry Technical Reports
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Instruct-Particulate: Scaling Feed-Forward 3D Object Articulation with Kinematic Control | arXiv 2026 | Paper Project |
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Articraft: An Agentic System for Scalable Articulated 3D Asset Generation | arXiv 2026 | Paper Project |
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Particulate: Feed-Forward 3D Object Articulation | CVPR 2026 | Paper Project |
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PhysX-Anything: Simulation-Ready Physical 3D Assets from Single Image | CVPR 2026 | Paper Project Code |
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URDF-Anything: Constructing Articulated Objects with 3D Multimodal Language Model | NeurIPS 2025 | Paper Project |
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DreamArt: Generating Interactable Articulated Objects from a Single Image | arXiv 2025 | Paper Project |
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MeshArt: Generating Articulated Meshes with Structure-guided Transformers | CVPR 2025 | Paper Code |
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ArtFormer: Controllable Generation of Diverse 3D Articulated Objects | CVPR 2025 | Paper Code |
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SINGAPO: Single Image Controlled Generation of Articulated Parts in Objects | ICLR 2025 | Paper Project Code |
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CAGE: Controllable Articulation GEneration | CVPR 2024 | Paper Project Code |
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NAP: Neural 3D Articulated Object Prior | NeurIPS 2023 | Paper Project Code |
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Meshy T2: Fast Native Mesh Generation with Flow Matching | arXiv 2026 | Paper Code |
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Nexus: Native Mesh Generation with Diffusion | ACM TOG 2026 | Paper |
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LATO.2: Factorized 3D Mesh Generation with Vertex and Topology Flow | arXiv 2026 | Paper Code |
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Mesh BDF: Barycentric Dominance Field for 3D Native Mesh Generation | arXiv 2026 | Paper Project Code |
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PolyFlow: Continuous Topology Embedding Flow Matching for Artist-style Mesh Generation | arXiv 2026 | Paper |
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MeshFlow: Mesh Generation with Equivariant Flow Matching | SIGGRAPH 2026 | Paper Project Code |
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LATO: 3D Mesh Flow Matching with Structured TOpology Preserving LAtents | ICML 2026 | Paper Project Code |
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AssetFormer: Modular 3D Assets Generation with Autoregressive Transformer | ICLR 2026 | Paper |
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MeshMosaic: Scaling Artist Mesh Generation via Local-to-Global Assembly | arXiv 2025 | Paper Project Code |
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MeshCraft: Exploring Efficient and Controllable Mesh Generation with Flow-based DiTs | arXiv 2025 | Paper |
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QuadGPT: Native Quadrilateral Mesh Generation with Autoregressive Models | arXiv 2025 | Paper |
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ARMesh: Autoregressive Mesh Generation via Next-Level-of-Detail Prediction | arXiv 2025 | Paper Project |
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MeshCoder: LLM-Powered Structured Mesh Code Generation from Point Clouds | arXiv 2025 | Paper Project Code |
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VertexRegen: Mesh Generation with Continuous Level of Detail | arXiv 2025 | Paper Project |
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FastMesh: Efficient Artistic Mesh Generation via Component Decoupling | arXiv 2025 | Paper |
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LLaMA-Mesh: Unifying 3D Mesh Generation with Language Models | arXiv 2024 | Paper Code Demo |
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FreeMesh: Boosting Mesh Generation with Coordinates Merging | ICML 2025 | Paper |
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Mesh-RFT: Enhancing Mesh Generation via Fine-grained Reinforcement Fine-Tuning | arXiv 2025 | Paper |
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Scaling mesh generation via compressive tokenization | CVPR 2025 | Paper Project Code |
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iFlame: Interleaving Full and Linear Attention for Efficient Mesh Generation | arXiv 2025 | Paper Code |
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Mesh Silksong: Auto-Regressive Mesh Generation as Weaving Silk | arXiv 2025 | Paper |
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MeshPad: Interactive Sketch-Conditioned Artist-Designed Mesh Generation and Editing | arXiv 2025 | Paper Project |
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DeepMesh: Auto-Regressive Artist-mesh Creation with Reinforcement Learning | ICCV 2025 | Paper Project Code |
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EdgeRunner: Auto-regressive Auto-encoder for Artistic Mesh Generation | ICLR 2025 | Paper Code |
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MeshArt: Generating Articulated Meshes with Structure-guided Transformers | CVPR 2025 | Paper Code |
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TreeMeshGPT: Topology-Aware Mesh Generation with Tree-Structured Graph Priors | CVPR 2025 | Paper |
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Meshtron: High-Fidelity, Artist-Like 3D Mesh Generation at Scale | arXiv 2024 | Paper Project |
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MeshAnything V2: Artist-Created Mesh Generation With Adjacent Mesh Tokenization | ICCV 2025 | Paper Project Code |
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MeshXL: Neural Coordinate Field for Generative 3D Foundation Models | NeurIPS 2024 | Paper Code |
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SpaceMesh: A Continuous Representation for Learning Manifold Surface Meshes | SIGGRAPH Asia 2024 | Paper Project |
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PivotMesh: Generic 3D Mesh Generation via Pivot Vertices Guidance | ICLR 2025 | Paper Project Code |
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MeshAnything: Artist-Created Mesh Generation with Autoregressive Transformers | ICLR 2025 | Paper Project Code |
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MeshGPT: Generating Triangle Meshes with Decoder-Only Transformers | CVPR 2024 | Paper Code |
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PolyDiff: Generating 3D Polygonal Meshes with Diffusion Models | arXiv 2023 | Paper |
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PolyGen: An Autoregressive Generative Model of 3D Meshes | ICML 2020 | Paper Code |
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ActionMesh: Animated 3D Mesh Generation with Temporal 3D Diffusion | arXiv 2026 | Paper Project Code |
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UltraShape 1.0: High-Fidelity 3D Shape Generation via Scalable Geometric Refinement | arXiv 2025 | Paper Project Code |
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LATTICE: Democratize High-Fidelity 3D Generation at Scale | arXiv 2025 | Paper Project Code |
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UniLat3D: Geometry-Appearance Unified Latents for Single-Stage 3D Generation | arXiv 2025 | Paper Project Code |
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HierOctFusion: Multi-scale Octree-based 3D Shape Generation via Part-Whole-Hierarchy Message Passing | arXiv 2024 | Paper |
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Ultra3D: Efficient and High-Fidelity 3D Generation with Part Attention | arXiv 2025 | Paper Project |
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Sparc3D: Sparse Representation and Construction for High-Resolution 3D Shapes Modeling | arXiv 2025 | Paper |
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OctGPT: Octree-based Multiscale Autoregressive Models for 3D Shape Generation | SIGGRAPH 2025 | Paper Code |
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SparseFlex: High-Resolution and Arbitrary-Topology 3D Shape Modeling (TripoSF) | arXiv 2025 | Paper Code |
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TRELLIS: Structured 3D Latents for Scalable and Versatile 3D Generation | CVPR 2025 | Paper Code |
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SplatSDF: Boosting Neural Implicit SDF via Gaussian Splatting Fusion | arXiv 2024 | Paper |
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LaGeM: A Large Geometry Model for 3D Representation Learning and Diffusion | ICLR 2025 | Paper Code Project |
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OctFusion: Octree-based Diffusion Models for 3D Shape Generation | SGP 2025 | Paper Code |
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MeshFormer: High-Quality Mesh Generation with 3D-Guided Reconstruction Model | arXiv 2024 | Paper |
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SurroundSDF: Implicit 3D Scene Understanding Based on Signed Distance Field | CVPR 2024 | Paper |
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CraftsMan: High-fidelity Mesh Generation with 3D Native Generation and Interactive Geometry Refiner | arXiv 2024 | Paper Code |
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GSDF: 3DGS Meets SDF for Improved Neural Rendering and Reconstruction | NeurIPS 2024 | Paper |
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HSDF: Hybrid Sign and Distance Field for Neural Representation of Surfaces With Arbitrary Topologies | IEEE 2024 | Paper |
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GEM3D: GEnerative Medial Abstractions for 3D Shape Synthesis | SIGGRAPH 2024 | Paper Code Project |
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Mosaic-SDF for 3D Generative Models | arXiv 2024 | Paper |
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XCube: Large-Scale 3D Generative Modeling using Sparse Voxel Hierarchies | CVPR 2024 | Paper Code |
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Constructive Solid Geometry on Neural Signed Distance Fields | ACM SIGGRAPH Asia 2023 | Paper Project |
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Diffusion-SDF: Conditional Generative Modeling of Signed Distance Functions | ICCV 2023 | Paper Project |
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SDFusion: Multimodal 3D Shape Completion, Reconstruction, and Generation | CVPR 2023 | Paper Code |
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Locally Attentional SDF Diffusion for Controllable 3D Shape Generation | ACM TOG 2023 | Paper |
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MeshDiffusion: Score-based Generative 3D Mesh Modeling | ICLR 2023 | Paper Code |
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3DShape2VecSet: A 3D Shape Representation for Neural Fields and Generative Diffusion Models | ACM TOG 2023 | Paper Code |
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SDF-Diffusion: Text-to-Shape via Voxelized Diffusion | CVPR 2023 | Paper |
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Neural Wavelet-domain Diffusion for 3D Shape Generation, Inversion, and Manipulation | SIGGRAPH Asia 2022 ACM TOG |
Paper Code |
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SDF-StyleGAN: Implicit SDF-Based StyleGAN for 3D Shape Generation | SGP 2022 | Paper Code |
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3DILG: Irregular Latent Grids for 3D Generative Modeling | NeurIPS 2022 | Paper Code Project |
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AutoSDF: Shape Priors for 3D Completion, Reconstruction and Generation | CVPR 2022 | Paper |
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NeuS: Learning Neural Implicit Surfaces by Volume Rendering for Multi-view Reconstruction | NeurIPS 2021 | Paper Code |
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Neural Unsigned Distance Fields for Implicit Function Learning | NeurIPS 2020 | Paper |
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SIREN: Implicit Neural Representations with Periodic Activation Functions | NeurIPS 2020 | Paper Code |
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Convolutional Occupancy Networks | ECCV 2020 | Paper Code |
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DeepSDF: Learning Continuous Signed Distance Functions for Shape Representation | CVPR 2019 | Paper Code |
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IM-Net: Learning Implicit Fields for Generative Shape Modeling | CVPR 2019 | Paper Code |
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TopoDiT-3D: Topology-Aware Diffusion Transformer with Bottleneck Structure for 3D Point Cloud Generation | arXiv 2025 | Paper |
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3D Point Cloud Generation via Autoregressive Up-sampling | arXiv 2025 | Paper |
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EAGLE: Contextual Point Cloud Generation via Adaptive Continuous Normalizing Flow with Self-Attention | arXiv 2025 | Paper |
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Not-So-Optimal Transport Flows for 3D Point Cloud Generation | arXiv 2025 | Paper |
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RGB2Point: 3D Point Cloud Generation from Single RGB Images | arXiv 2024 | Paper |
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Fast Training of Diffusion Transformer with Extreme Masking for 3D Point Clouds Generation | ECCV 2024 | Paper |
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Context-Aware Indoor Point Cloud Object Generation through User Instructions | ACM Multimedia 2024 | Paper |
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Learning to Generate 3D Shapes with Generative Cellular Automata | ICLR 2021 | Paper |
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3D Shape Generation and Completion through Point-Voxel Diffusion | ICCV 2021 | Paper Code |
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One-2-3-45++: Fast Single Image to 3D Objects with Consistent Multi-View Generation and 3D Diffusion | CVPR 2024 | Paper Project |
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ProlificDreamer: High-Fidelity and Diverse Text-to-3D Generation with Variational Score Distillation | NeurIPS 2023 | Paper Code Project |
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One-2-3-45: Any Single Image to 3D Mesh in 45 Seconds without Per-Shape Optimization | NeurIPS 2023 | Paper Code Project |
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Zero-1-to-3: Zero-shot One Image to 3D Object | ICCV 2023 | Paper Code Project |
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Magic3D: High-Resolution Text-to-3D Content Creation | CVPR 2023 | Paper Project |
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DreamFusion: Text-to-3D using 2D Diffusion | arXiv 2022 | Paper Project |
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Efficient Geometry-aware 3D Generative Adversarial Networks | CVPR 2022 | Paper Code Project |
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VRSplat: Fast and Robust Gaussian Splatting for Virtual Reality | arXiv 2025 | Paper |
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Gaussian Splatting with Discretized SDF for Relightable Assets | arXiv 2025 | Paper |
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Enhancing 3D Gaussian Splatting Compression via Spatial Condition-based Prediction | arXiv 2025 | Paper |
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3D Gaussian Splatting as a New Era: A Survey | IEEE TVCG 2024 | Paper |
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WildGaussians: 3D Gaussian Splatting In the Wild | NeurIPS 2024 | Paper |
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Spec-Gaussian: Anisotropic View-Dependent Appearance for 3D Gaussian Splatting | NeurIPS 2024 | Paper |
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ODGS: 3D Scene Reconstruction from Omnidirectional Images with 3D Gaussian Splattings | NeurIPS 2024 | Paper Code |
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DOGS: Distributed-Oriented Gaussian Splatting for Large-Scale 3D Reconstruction | NeurIPS 2024 | Paper Code |
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FreeSplat: Generalizable 3D Gaussian Splatting for Free-View Synthesis | NeurIPS 2024 | Paper Code |
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3D Gaussian Splatting as Markov Chain Monte Carlo | NeurIPS 2024 (Spotlight) | Paper |
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3iGS: Factorised Tensorial Illumination for 3D Gaussian Splatting | ECCV 2024 | Paper |
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HeadStudio: Text to Animatable Head Avatars with 3D Gaussian Splatting | ECCV 2024 | Paper |
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Gaussian Grouping: Segment and Edit Anything in 3D Scenes | ECCV 2024 | Paper Code |
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2D Gaussian Splatting for Geometrically Accurate Radiance Fields | SIGGRAPH 2024 | Paper Code |
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Recent Advances in 3D Gaussian Splatting | arXiv 2024 | Paper |
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COLMAP-Free 3D Gaussian Splatting | CVPR 2024 | Paper |
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Gaussian Splatting SLAM | CVPR 2024 (Best Demo) | Paper |
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Mip-Splatting: Alias-free 3D Gaussian Splatting | CVPR 2024 (Best Student Paper) | Paper Code |
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DreamGaussian: Generative Gaussian Splatting for Efficient 3D Content Creation | ICLR 2024 (Oral) | Paper Code |
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3D Gaussian Splatting for Real-Time Radiance Field Rendering | SIGGRAPH 2023 | Paper Code |
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A Survey on 3D Gaussian Splatting | arXiv 2024 | Paper |
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SuGaR: Surface-Aligned Gaussian Splatting for Efficient 3D Mesh Reconstruction and High-Quality Mesh Rendering | CVPR 2024 | Paper Code |
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ReCAD: Reinforcement Learning Enhanced Parametric CAD Model Generation with Vision-Language Models | arXiv 2025 | Paper |
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BrepGPT: Autoregressive B-rep Generation with Voronoi Half-Patch | SIGGRAPH Asia 2025 | Paper Code |
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AutoBrep: Autoregressive B-Rep Generation with Unified Topology and Geometry | SIGGRAPH Asia 2025 | Paper Code |
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GeoCAD: Local Geometry-Controllable CAD Generation | NeurIPS 2025 | Paper Code |
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CAD-Coder: Text-to-CAD Generation with Chain-of-Thought and Geometric Reward | arXiv 2025 | Paper |
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Stitch-A-Shape: Bottom-up Learning for B-Rep Generation | SIGGRAPH 2025 | Paper |
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BrepDiff: Single-stage B-rep Diffusion Model | SIGGRAPH 2025 | Paper Project |
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HoLa: B-Rep Generation using a Holistic Latent Representation | SIGGRAPH 2025 | Paper Project |
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CLR-Wire: Towards Continuous Latent Representations for 3D Curve Wireframe Generation | SIGGRAPH 2025 | Paper Code |
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DTGBrepGen: A Novel B-rep Generative Model through Decoupling Topology and Geometry | CVPR 2025 | Paper Code Project |
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CADCrafter: Generating Computer-Aided Design Models from Unconstrained Images | CVPR 2025 | Paper |
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CADDreamer: CAD object Generation from Single-view Images | CVPR 2025 | Paper Project |
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CAD-GPT: Synthesising CAD Construction Sequence with Spatial Reasoning-Enhanced Multimodal LLMs | arXiv 2025 | Paper Project |
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Text-to-CAD Generation Through Infusing Visual Feedback in Large Language Models | arXiv 2025 | Paper |
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Revisiting CAD Model Generation by Learning Raster Sketch | AAAI 2025 | Paper Dataset |
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FlexCAD: Unified and Versatile Controllable CAD Generation with Fine-tuned Large Language Models | ICLR 2025 | Paper Code |
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Generating CAD Code with Vision-Language Models for 3D Designs | ICLR 2025 | Paper Code |
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Don’t Mesh with Me: Generating Constructive Solid Geometry Instead of Meshes by Fine-Tuning a Code-Generation LLM | arXiv 2024 | Paper |
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CAD-MLLM: Unifying Multimodality-Conditioned CAD Generation With MLLM | arXiv 2024 | Paper Project |
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Text2CAD: Text to 3D CAD Generation via Technical Drawings | NeurIPS 2024 | Paper Code Project |
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CadVLM: Bridging Language and Vision in the Generation of Parametric CAD Sketches | ECCV 2024 | Paper |
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BrepGen: A B-rep Generative Diffusion Model with Structured Latent Geometry | SIGGRAPH 2024 | Paper Code |
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Learn to Create Simple LEGO Micro Buildings | SIGGRAPH Asia 2024 | Paper Code |
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Generating 3D House Wireframes with Semantics | ECCV 2024 | Paper Project |
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SolidGen: An Autoregressive Model for Direct B-rep Synthesis | ICLR 2024 | Paper |
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Brep2Seq: A Dataset and Hierarchical Deep Learning Network for Reconstruction and Generation of Computer-Aided Design Models | JCDE 2024 | Paper Code |
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VQ-CAD: Computer-Aided Design model generation with vector quantized diffusion | CAGD 2024 | Paper |
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PartNeRF: Generating Part-Aware Editable 3D Shapes without 3D Supervision | CVPR 2023 | Paper Code Project |
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Hierarchical Neural Coding for Controllable CAD Model Generation | ICML 2023 | Paper Code Project |
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SkexGen: Autoregressive Generation of CAD Construction Sequences with Disentangled Codebooks | ICML 2022 | Paper Code Project |
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Free2CAD: Parsing Freehand Drawings into CAD Commands | SIGGRAPH 2022 | Code Project |
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DeepCAD: A Deep Generative Network for Computer-Aided Design Models | ICCV 2021 | Paper Code Project |
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Roof-GAN: Learning to Generate Roof Geometry and Relations for Residential Houses | CVPR 2021 | Paper Code |
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Computer-aided design as language | NeurIPS 2021 | Paper |
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SDM-NET: Deep Generative Network for Structured Deformable Mesh | TOG 2019 | Paper Code |
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StructureNet: Hierarchical Graph Networks for 3D Shape Generation | Siggraph Asia 2019 | Paper Code Project |
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AtlasNet: A Papier-Mâché Approach to Learning 3D Surface Generation | CVPR 2018 | Paper Code Project |
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3D molecule generation by denoising voxel grids | NeurIPS 2023 | Paper |
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AutoSDF: Shape Priors for 3D Completion, Reconstruction and Generation | CVPR 2022 | Paper Code Project |
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Octree Transformer: Autoregressive 3D Shape Generation on Hierarchically Structured Sequences | arXiv 2021 | Paper |
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Generative VoxelNet: Learning Energy-Based Models for 3D Shape Synthesis and Analysis | TPAMI 2020 | Paper Code Project |
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Learning Part Generation and Assembly for Structure-Aware Shape Synthesis | AAAI 2020 | Paper |
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PQ-NET: A Generative Part Seq2Seq Network for 3D Shapes | CVPR 2020 | Paper Code |
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Generalized Autoencoder for Volumetric Shape Generation | CVPRW 2020 | Paper Code |
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SAGNet: Structure-aware Generative Network for 3D-Shape Modeling | SIGGRAPH 2019 | Paper Code Project |
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Generative and Discriminative Voxel Modeling with Convolutional Neural Networks | arXiv 2016 | Paper Code |
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Learning a Probabilistic Latent Space of Object Shapes via 3D Generative-Adversarial Modeling | NeurIPS 2016 | Paper Code Project |
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PartNeXt: A Next-Generation Dataset for Fine-Grained and Hierarchical 3D Part Understanding | arXiv 2025 | Paper |
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FullPart: Generating each 3D Part at Full Resolution | arXiv 2025 | Paper |
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PartSAM: A Scalable Promptable Part Segmentation Model Trained on Native 3D Data | arXiv 2025 | Paper |
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BANG: Dividing 3D Assets via Generative Exploded Dynamics | arXiv 2025 | Paper |
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AutoPartGen: Autoregressive 3D Part Generation and Discovery | NeurIPS 2025 | Paper |
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From One to More: Contextual Part Latents for 3D Generation | ICCV 2025 | Paper Project |
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Assembler: Scalable 3D Part Assembly via Anchor Point Diffusion | arXiv 2025 | Paper |
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Efficient Part-level 3D Object Generation via Dual Volume Packing | arXiv 2025 | Paper |
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MeshArt: Generating Articulated Meshes with Structure-guided Transformers | CVPR 2025 | Paper Code |
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PrimitiveAnything: Human-Crafted 3D Primitive Assembly Generation with Auto-Regressive Transformer | SIGGRAPH 2025 | Paper Code |
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OmniPart: Part-Aware 3D Generation with Semantic Decoupling and Structural Cohesion | arXiv 2025 | Paper |
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PartCrafter: Structured 3D Mesh Generation via Compositional Latent Diffusion Transformers | arXiv 2025 | Paper |
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HoloPart: Generative 3D Part Amodal Segmentation | arXiv 2025 | Paper Code |
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PartField: Learning 3D Feature Fields for Part Segmentation and Beyond | ICCV 2025 | Paper Project Code |
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SPAFormer: Sequential 3D Part Assembly with Transformers | 3DV 2025 | Paper Code |
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PASTA: Controllable Part-Aware Shape Generation with Autoregressive Transformers | arXiv 2024 | Paper |
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SAMPart3D: Segment Any Part in 3D Objects | arXiv 2024 | Paper Project |
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PartGen: Part-level 3D Generation and Reconstruction with Multi-View Diffusion Models | CVPR 2025 | Paper Project |
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Part123: Part-aware 3D Reconstruction from a Single-view Image | SIGGRAPH 2024 | Paper Project |
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Part-aware Shape Generation with Latent 3D Diffusion of Neural Voxel Fields | IEEE TVCG | Paper |
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DAE-Net: Deforming Auto-Encoder for fine-grained shape co-segmentation | SIGGRAPH 2024 | Paper Code |
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StructureNet: Hierarchical Graph Networks for 3D Shape Generation | SIGGRAPH Asia 2019 | Paper Code |
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PartNet: A Large-scale Benchmark for Fine-grained and Hierarchical Part-level 3D Object Understanding | CVPR 2019 | Paper Dataset |
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Generative 3D Part Assembly via Dynamic Graph Learning | NeurIPS 2020 | Paper Code |
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ComplementMe: Weakly-Supervised Component Suggestions for 3D Modeling | SIGGRAPH Asia 2017 | Paper |
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BSP-Net: Generating Compact Meshes via Binary Space Partitioning | CVPR 2020 | Paper Code |
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GRASS: Generative Recursive Autoencoders for Shape Structures | SIGGRAPH 2017 | Paper |
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Learning Part Generation and Assembly for Structure-Aware Shape Synthesis | AAAI 2020 | Paper |
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Learning 3D Part Assembly from a Single Image | ECCV 2020 | Paper |
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CompoNet: Learning to Generate the Unseen by Part Synthesis and Composition | ICCV 2019 | Paper |
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ShapeAssembly: Learning to Generate Programs for 3D Shape Structure Synthesis | SIGGRAPH Asia 2020 | Paper Code |
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Part-based 3D Object Reconstruction from a Single RGB Image | arXiv 2021 | Paper |
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PartSLIP: Low-shot Part Segmentation for 3D Point Clouds via Pretrained Image-Language Models | CVPR 2023 | Paper Code |
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Unsupervised Learning of Shape Programs with Repeatable Implicit Parts | NeurIPS 2022 | Paper Project |
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SPAGHETTI: Editing Implicit Shapes Through Part Aware Generation | ACM TOG 2022 | Paper Code Project |
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BAE-NET: Branched Autoencoder for Shape Co-Segmentation | ICCV 2019 | Paper Code |
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Fuse3D: Generating 3D Assets Controlled by Multi-Image Fusion | SIGGRAPH Asia 2025 | Paper Project Code |
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3DGS-Drag: Dragging Gaussians for Intuitive Point-Based 3D Editing | ICLR 2025 | Paper |
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Native 3D Editing with Full Attention | arXiv 2025 | Paper |
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3D-LATTE: Latent Space 3D Editing from Textual Instructions | arXiv 2025 | Paper Project |
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Drag Your Gaussian: Effective Drag-Based Editing with Score Distillation for 3D Gaussian Splatting | SIGGRAPH 2025 | Paper Project Code |
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Perturb-and-Revise: Flexible 3D Editing with Generative Trajectories | CVPR 2025 | Paper Project |
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Instant3dit: Multiview Inpainting for Fast Editing of 3D Objects | CVPR 2025 | Paper Project Code |
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ShapeFusion: A 3D Diffusion Model for Localized Shape Editing | ECCV 2024 | Paper Project |
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GaussCtrl: Multi-View Consistent Text-Driven 3D Gaussian Splatting Editing | ECCV 2024 | Paper Project Code |
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Gaussian Grouping: Segment and Edit Anything in 3D Scenes | ECCV 2024 | Paper Code |
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GaussianEditor: Editing 3D Gaussians Delicately with Text Instructions | CVPR 2024 | Paper Project |
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Instruct-NeRF2NeRF: Editing 3D Scenes with Instructions | ICCV 2023 | Paper Project Code |
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Auto-Connect: Connectivity-Preserving RigFormer with Direct Preference Optimization | arXiv 2025 | Paper Project |
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One Model to Rig Them All: Diverse Skeleton Rigging with UniRig | SIGGRAPH 2025 | Paper Project Code |
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RigAnything: Template-Free Autoregressive Rigging for Diverse 3D Assets | SIGGRAPH 2025 | Paper Project Code |
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MagicArticulate: Make Your 3D Models Articulation-Ready | CVPR 2025 | Paper Project Code |
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Make-It-Animatable: An Efficient Framework for Authoring Animation-Ready 3D Characters | CVPR 2025 | Paper Project Code |
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HumanRig: Learning Automatic Rigging for Humanoid Character in a Large Scale Dataset | arXiv 2024 | Paper |
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RigNet: Neural Rigging for Articulated Characters | SIGGRAPH 2020 | Paper Project Code |
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TARig: Adaptive Template-Aware Neural Rigging for Humanoid Characters | Computers & Graphics 2023 | Paper |
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Predicting Animation Skeletons for 3D Articulated Models via Volumetric Nets | 3DV 2019 | Paper Project Code |
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Automatic Rigging and Animation of 3D Characters | SIGGRAPH 2007 | Paper Project Code |
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WorldGrow: Generating Infinite 3D World | arXiv 2025 | Paper Project Code |
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Generative Human Geometry Distribution | Arxiv 2025 | Paper |
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Geometry Distributions | ICCV 2025 | Paper |
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Functional Diffusion | CVPR 2024 | Paper Code Project |
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3DTopia-XL: Scaling High-quality 3D Asset Generation via Primitive Diffusion | Arxiv 2024 | Paper |
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Geometry Image Diffusion: Fast and Data-Efficient Text-to-3D with Image-Based Surface Representation | Arxiv 2024 | Paper |
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An Object is Worth 64×64 Pixels: Generating 3D Object via Image Diffusion | Arxiv 2024 | Paper |
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X-Ray: A Sequential 3D Representation for Generation | Arxiv 2024 | Paper |
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MeshCNN: A Network with an Edge | SIGGRAPH 2019 | Paper Code |
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Neural Marching Cubes | SIGGRAPH Asia 2021 | Paper Code |
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As-Plausible-As-Possible: Plausibility-Aware Mesh Deformation Using 2D Diffusion Priors | CVPR 2024 | Project |
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GET3D: A Generative Model of High Quality 3D Textured Shapes Learned from Images | NeurIPS 2022 | Paper Code |
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Single Mesh Diffusion Models with Field Latents for Texture Generation | arXiv 2023 | Paper |
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[Tencent] Hunyuan3D 1.0: A Unified Framework for Text-to-3D and Image-to-3D Generation | 2024 | Paper Code Demo |
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[Tencent] Hunyuan3D 2.0: Scaling Diffusion Models for High Resolution Textured 3D Assets Generation | 2025 | Paper Code Website |
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[Tencent] Hunyuan3D 2.1: From Images to High-Fidelity 3D Assets with Production-Ready PBR Material | 2025 | Paper Code |
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[Tencent] Hunyuan3D 2.5: Towards High-Fidelity 3D Assets Generation with Ultimate Details | 2025 | Paper Code |
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[Tencent] Hunyuan3D-Omni: A Unified Framework for Controllable Generation of 3D Assets | 2025 | Paper Code |
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[ByteDance] Seed3D 1.0: Simulation-Ready 3D Asset Generation from Single Images | 2025 | Paper Website |