Cazenavette, George

10 publications

NeurIPS 2025 Dataset Distillation for Pre-Trained Self-Supervised Vision Models George Cazenavette, Antonio Torralba, Vincent Sitzmann

CVPRW 2025 Rethinking the Role of Spatial Mixing George Cazenavette, Joel Julin, Simon Lucey

CVPR 2024 FakeInversion: Learning to Detect Images from Unseen Text-to-Image Models by Inverting Stable Diffusion George Cazenavette, Avneesh Sud, Thomas Leung, Ben Usman

ICLR 2024 Towards Lossless Dataset Distillation via Difficulty-Aligned Trajectory Matching Ziyao Guo, Kai Wang, George Cazenavette, Hui Li, Kaipeng Zhang, Yang You

NeurIPS 2023 Diffusion with Forward Models: Solving Stochastic Inverse Problems Without Direct Supervision Ayush Tewari, Tianwei Yin, George Cazenavette, Semon Rezchikov, Josh Tenenbaum, Fredo Durand, Bill Freeman, Vincent Sitzmann

CVPR 2023 Generalizing Dataset Distillation via Deep Generative Prior George Cazenavette, Tongzhou Wang, Antonio Torralba, Alexei A. Efros, Jun-Yan Zhu

CVPR 2022 Dataset Distillation by Matching Training Trajectories George Cazenavette, Tongzhou Wang, Antonio Torralba, Alexei A. Efros, Jun-Yan Zhu

CVPRW 2022 Dataset Distillation by Matching Training Trajectories George Cazenavette, Tongzhou Wang, Antonio Torralba, Alexei A. Efros, Jun-Yan Zhu

CVPRW 2022 Wearable ImageNet: Synthesizing Tileable Textures via Dataset Distillation George Cazenavette, Tongzhou Wang, Antonio Torralba, Alexei A. Efros, Jun-Yan Zhu

CVPR 2021 Architectural Adversarial Robustness: The Case for Deep Pursuit George Cazenavette, Calvin Murdock, Simon Lucey