Graduated with a PhD in Computer Science @MIT!
Grateful to my advisors and teachers who helped me learn and grow in this journey! Thanks to all my friends and family members for their support.
Given an image and a selected pixel, our method outputs segment of the image that has the same material as one at the chosen pixel.
Materialistic: Selecting Similar Materials in Images is accepted to SIGGRAPH 2023.
Paper: arxiv.org/pdf/2305.13291…
Webpage: prafullsharma.net/materialistic/
Excited to share Alchemist! Alchemist enables fine-grained control over material properties of objects in images, specifically roughness, metallic, albedo, and transparency.
Website: prafullsharma.net/alchemist
arXiv: arxiv.org/abs/2312.02970
Thrilled to have Alchemist accepted at #CVPR2024 !
Thanks to my collaborators for their contributions and giving me opportunities to learn during this project.
Excited to share Alchemist! Alchemist enables fine-grained control over material properties of objects in images, specifically roughness, metallic, albedo, and transparency.
Website: prafullsharma.net/alchemist
arXiv: arxiv.org/abs/2312.02970
Researchers use AI to identify similar materials in images: This machine-learning method could assist with robotic scene understanding, image editing, or online recommendation systems. mitsha.re/nVZo50Ouq5B
Researchers from MIT CSAIL and Google created a diffusion model that can change the material properties of objects in images.
Their system can tweak both real and AI-generated pictures, potentially helping modify video game models to fit different environments, fine-tune VFX,