Papers citing 'Training Energy-Based Models with Diffusion Contrastive Divergences'

Title
David and Goliath: Small One-step Model Beats Large Diffusion with Score Post-training Weijian Luo C. Zhang Debing Zhang Zhengyang Geng 325 4 0 28 Oct 2024
Flow Generator Matching Zemin Huang Zhengyang Geng Weijian Luo Guo-Jun Qi 404 20 0 25 Oct 2024
Diff-Instruct++: Training One-step Text-to-image Generator Model to Align with Human Preferences Weijian Luo EGVM 308 18 0 24 Oct 2024
One-Step Diffusion Distillation through Score Implicit MatchingNeural Information Processing Systems (NeurIPS), 2024 Weijian Luo Zemin Huang Zhengyang Geng J. Zico Kolter Guo-Jun Qi DiffM 220 39 0 22 Oct 2024
MITA: Bridging the Gap between Model and Data for Test-time Adaptation Yige Yuan Bingbing Xu Teng Xiao Liang Hou Fei Sun Huawei Shen Xueqi Cheng TTA 291 1 0 12 Oct 2024
TEA: Test-time Energy AdaptationComputer Vision and Pattern Recognition (CVPR), 2023 Yige Yuan Bingbing Xu Liang Hou Fei Sun Huawei Shen Xueqi Cheng TTA VLM 255 25 0 24 Nov 2023
Energy Discrepancies: A Score-Independent Loss for Energy-Based ModelsNeural Information Processing Systems (NeurIPS), 2023 Tobias Schröder Chinmay Pani Jen Ning Lim Yingzhen Li Sebastian J. Vollmer Andrew B. Duncan 309 12 0 12 Jul 2023