I am a Postdoctoral Associate with Prof. Phillip Isola and Prof. Josh Tenenbaum in CSAIL and Brain and Cognitive Sciences Department. My research is focused on inferring and generating world models for novel games. I completed my PhD under the supervision of Prof. William T. Freeman and Prof. Frédo Durand in Computer Science & Artificial Intelligence Laboratory at MIT. My thesis was on learning low-level priors for both inference and generation of images. I also worked on non-line-of-sight imaging and generative models for computational photography. I pursued my undergraduate degree at Stanford where where I worked with Prof. Pat Hanrahan on efficient image processing for astronomy.
Publications
Evaluating Language Models' Evaluations of Games
arXiv Preprint 2025
Katherine M Collins, Cedegao E Zhang, Graham Todd, Lance Ying, Mauricio Barba da Costa, Ryan Liu, Prafull Sharma, Adrian Weller, Ionatan Kuperwajs, Lionel Wong, Joshua B Tenenbaum, Thomas L Griffiths
Assessing Adaptive World Models in Machines with Novel Games
arXiv Preprint 2025
Lance Ying, Katherine M Collins, Prafull Sharma, Cedric Colas, Kaiya Ivy Zhao, Adrian Weller, Zenna Tavares, Phillip Isola, Samuel J Gershman, Jacob D Andreas, Thomas L Griffiths, Francois Chollet, Kelsey R Allen, Joshua B Tenenbaum
MARBLE: Material Recomposition and Blending in CLIP-Space
CVPR 2025
Lance Ying, Katherine M Collins, Prafull Sharma, Cedric Colas, Kaiya Ivy Zhao, Adrian Weller, Zenna Tavares, Phillip Isola, Samuel J Gershman
ZeST: Zero-Shot Material Transfer from a Single Image
ECCV 2025
Ta-Ying Cheng, Prafull Sharma, Andrew Markham, Niki Trigoni, Varun Jampani
Alchemist: Parametric Control of Material Properties with Diffusion Models
CVPR 2024 (Oral)
Prafull Sharma, Varun Jampani, Yuanzhen Li, Xuhui Jia, Dmitry Lagun, Fredo Durand, Bill Freeman, Mark Matthews
Materialistic: Selecting Similar Materials in Images
SIGGRAPH 2023, ToG
Prafull Sharma, Julien Philip, Michael Gharbi, William T. Freeman, Fredo Durand, Valentin Deschaintre
Neural Groundplans: Persistent Neural Scene Representations from a Single Image
ICLR 2023
Prafull Sharma, Ayush Tewari, Yilun Du, Sergey Zakharov, Rares Ambrus, Adrien Gaidon, William T. Freeman, Fredo Durand, Joshua B. Tenenbaum, Vincent Sitzmann
What You Can Learn by Staring at a Blank Wall
ICCV 2021 (Oral)
Prafull Sharma, Miika Aittala, Yoav Y. Schechner, Antonio Torralba, Gregory W. Wornell, William T. Freeman, Frédo Durand
Self-supervised Speckle Reduction GAN for Synthetic Aperture Radar
IEEE Radar Conference 2021
Michael Newey, Prafull Sharma
Computational Mirrors: Blind Inverse Light Transport by Deep Matrix Factorization
NeurIPS 2019
Miika Aittala, Prafull Sharma, Lukas Murmann, Adam Yedidia, Gregory Wornell, William T. Freeman, Frédo Durand
On the Importance of Label Quality for Semantic Segmentation
CVPR 2018
Aleksandar Zlateski, Ronnachai Jaroensri, Prafull Sharma, Frédo Durand
K-means++ vs. Behavioral Biometrics: One Loop to Rule Them All.
NDSS 2018
Parimarjan Negi, Prafull Sharma, Vivek Jain, Bahman Bahmani