Lu Ling

I am Lu Ling, a PhD candidate in the IDEADs Lab at Purdue University, advised by Prof. Aniket Bera.

I am passionate about spatial intelligence and physical AI. I build scalable generative models for controllable 3D scene generation / world models, with an emphasis on data scaling through real-world data capture such as DL3DV-10K and synthetic scene generation. The goal is to enable virtual content creation and editing, and to provide spatially grounded world understanding for embodied AI.

I am a member of technical staff at World Labs in fall 2025, and an NVIDIA Research intern at NVIDIA Deep Imagination Research in summer and fall 2024.

I am looking for full-time Research Scientist and Member of Technical Staff positions in industry. Feel free to reach out to me via email!

Email / CV / Google Scholar / LinkedIn / Twitter

Selected Publications

	I-Scene: 3D Instance Models are Implicit Generalizable Spatial Learners Lu Ling, Yunhao Ge, Yichen Sheng, Aniket Bera under review (2026) Feed-forward interactive 3D scene generation / world models. Strong generalizability and high fidelity for unseen layout and various spatial relations. > proj > paper > code
	Scenethesis: A Language and Vision Agentic Framework for 3D Scene Generation Lu Ling, Chen-Hsuan Lin, Tsung-Yi Lin, Yifan Ding, Yu Zeng, Yichen Sheng, Yunhao Ge, Ming-Yu Liu, Aniket Bera, Zhaoshuo Li under review (2025) An Agentic Framework for Text-to-3D Scene Generation. The generated scenes are diverse, interactive, realistic, and physically plausible for virtual content creation, editing, simulation, and embodied AI. > proj > paper > code
	DL3DV-10K: A Large-Scale Scene Dataset for Deep Learning-based 3D Vision Lu Ling, Yichen Sheng, Zhi Tu, Wentian Zhao, Cheng Xin, Kun Wan, Lantao Yu, Qianyu Guo, Zixun Yu, Yawen Lu, Xuanmao Li, Xingpeng Sun, Rohan Ashok, Aniruddha Mukherjee, Hao Kang, Xiangrui Kong, Gang Hua, Tianyi Zhang, Bedrich Benes, Aniket Bera CVPR 2024 10K real-world scene dataset for 3D vision > proj > paper > code
	Dr.Bokeh: DiffeRentiable Occlusion-aware Bokeh Rendering Yichen Sheng, Zixun, Yu, Lu Ling, Zhiwen Cao, Cecilia Zhang, Xin Lu, Ke Xian, Haiting Lin, Bedrich Benes CVPR 2024 Lens blur effects in image compositing > proj > video
	PixHt-Lab: Pixel Height Based Light Effect Generation for Image Compositing Yichen Sheng, Jianming Zhang, Julien Philip, Yannick Hold-Geoffroy, Xin Sun, HE Zhang, Lu Ling, Bedrich Benes CVPR 2023 (highlight) Light effects synthesis in image compositing > paper > code
	Cooperating Graph Neural Networks with Deep Reinforcement Learning for Vaccine Prioritization Lu Ling, Washim Uddin Mondal, Satish V. Ukkusuri IEEE Journal of Biomedical and Health Informatics (2024) Reinforcement learning, graph neural network, deep learning, disease diffusion > paper