Prafull Sharma

22 papers A* 7Journal 13Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	AI Gamestore: Scalable, Open-Ended Evaluation of Machine General Intelligence with Human Games. CoRR Lance Ying, Ryan Truong, Prafull Sharma, Kaiya Ivy Zhao, Nathan Cloos, Kelsey R. Allen, Thomas L. Griffiths, Katherine M. Collins, José Hernández-Orallo, Phillip Isola, Samuel J. Gershman, Joshua B. Tenenbaum
2026	J	`jnl`	Digital Red Queen: Adversarial Program Evolution in Core War with LLMs. CoRR Akarsh Kumar, Ryan Bahlous-Boldi, Prafull Sharma, Phillip Isola, Sebastian Risi, Yujin Tang, David Ha
2025	J	`jnl`	Assessing Adaptive World Models in Machines with Novel Games. CoRR Lance Ying, Katherine M. Collins, Prafull Sharma, Cédric Colas, Kaiya Ivy Zhao, Adrian Weller, Zenna Tavares, Phillip Isola, Samuel J. Gershman, Jacob Andreas, Thomas L. Griffiths, François Chollet, Kelsey R. Allen, Joshua B. Tenenbaum
2025	J	`jnl`	Evaluating Language Models' Evaluations of Games. CoRR 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
2025	A*	`conf`	MARBLE: Material Recomposition and Blending in CLIP-Space. CVPR Ta Ying Cheng, Prafull Sharma, Mark Boss, Varun Jampani
2025	J	`jnl`	MARBLE: Material Recomposition and Blending in CLIP-Space. CoRR Ta Ying Cheng, Prafull Sharma, Mark Boss, Varun Jampani
2024	A*	`conf`	Alchemist: Parametric Control of Material Properties with Diffusion Models. CVPR Prafull Sharma, Varun Jampani, Yuanzhen Li, Xuhui Jia, Dmitry Lagun, Frédo Durand, Bill Freeman, Mark J. Matthews
2024	—	`conf`	ZeST: Zero-Shot Material Transfer from a Single Image. ECCV (1) Ta Ying Cheng, Prafull Sharma, Andrew Markham, Niki Trigoni, Varun Jampani
2024	J	`jnl`	ZeST: Zero-Shot Material Transfer from a Single Image. CoRR Ta Ying Cheng, Prafull Sharma, Andrew Markham, Niki Trigoni, Varun Jampani
2023	J	`jnl`	Alchemist: Parametric Control of Material Properties with Diffusion Models. CoRR Prafull Sharma, Varun Jampani, Yuanzhen Li, Xuhui Jia, Dmitry Lagun, Frédo Durand, William T. Freeman, Mark J. Matthews
2023	J	`jnl`	Materialistic: Selecting Similar Materials in Images. CoRR Prafull Sharma, Julien Philip, Michaël Gharbi, William T. Freeman, Frédo Durand, Valentin Deschaintre
2023	J	`jnl`	Materialistic: Selecting Similar Materials in Images. ACM Trans. Graph. Prafull Sharma, Julien Philip, Michaël Gharbi, Bill Freeman, Frédo Durand, Valentin Deschaintre
2023	A*	`conf`	Neural Groundplans: Persistent Neural Scene Representations from a Single Image. ICLR Prafull Sharma, Ayush Tewari, Yilun Du, Sergey Zakharov, Rares Andrei Ambrus, Adrien Gaidon, William T. Freeman, Frédo Durand, Joshua B. Tenenbaum, Vincent Sitzmann
2022	J	`jnl`	SAR-to-EO Image Translation with Multi-Conditional Adversarial Networks. CoRR Armando Cabrera, Miriam Cha, Prafull Sharma, Michael Newey
2022	J	`jnl`	Seeing 3D Objects in a Single Image via Self-Supervised Static-Dynamic Disentanglement. CoRR Prafull Sharma, Ayush Tewari, Yilun Du, Sergey Zakharov, Rares Ambrus, Adrien Gaidon, William T. Freeman, Frédo Durand, Joshua B. Tenenbaum, Vincent Sitzmann
2021	—	`conf`	SAR-to-EO Image Translation with Multi-Conditional Adversarial Networks. ACSCC Armando Cabrera, Miriam Cha, Prafull Sharma, Michael Newey
2021	A*	`conf`	What You Can Learn by Staring at a Blank Wall. ICCV Prafull Sharma, Miika Aittala, Yoav Y. Schechner, Antonio Torralba, Gregory W. Wornell, William T. Freeman, Frédo Durand
2021	J	`jnl`	What You Can Learn by Staring at a Blank Wall. CoRR Prafull Sharma, Miika Aittala, Yoav Y. Schechner, Antonio Torralba, Gregory W. Wornell, William T. Freeman, Frédo Durand
2019	A*	`conf`	Computational Mirrors: Blind Inverse Light Transport by Deep Matrix Factorization. NeurIPS Miika Aittala, Prafull Sharma, Lukas Murmann, Adam B. Yedidia, Gregory W. Wornell, Bill Freeman, Frédo Durand
2019	J	`jnl`	Computational Mirrors: Blind Inverse Light Transport by Deep Matrix Factorization. CoRR Miika Aittala, Prafull Sharma, Lukas Murmann, Adam B. Yedidia, Gregory W. Wornell, William T. Freeman, Frédo Durand
2018	A*	`conf`	K-means++ vs. Behavioral Biometrics: One Loop to Rule Them All. NDSS Parimarjan Negi, Prafull Sharma, Vivek Jain, Bahman Bahmani
2018	A*	`conf`	On the Importance of Label Quality for Semantic Segmentation. CVPR Aleksandar Zlateski, Ronnachai Jaroensri, Prafull Sharma, Frédo Durand