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Titlebook: Computer Vision – ECCV 2024; 18th European Confer Ale? Leonardis,Elisa Ricci,Gül Varol Conference proceedings 2025 The Editor(s) (if applic

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樓主: centipede
41#
發(fā)表于 2025-3-28 16:58:58 | 只看該作者
42#
發(fā)表于 2025-3-28 20:16:50 | 只看該作者
,Learn to?Optimize Denoising Scores: A Unified and?Improved Diffusion Prior for?3D Generation,lishing new state-of-the-art in the realm of text-to-3D generation. Additionally, our framework yields insightful contributions to the understanding of recent score distillation methods, such as the VSD loss and CSD loss. Code: ..
43#
發(fā)表于 2025-3-28 23:50:35 | 只看該作者
44#
發(fā)表于 2025-3-29 06:15:17 | 只看該作者
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發(fā)表于 2025-3-29 09:09:44 | 只看該作者
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發(fā)表于 2025-3-29 13:23:38 | 只看該作者
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發(fā)表于 2025-3-29 18:24:32 | 只看該作者
48#
發(fā)表于 2025-3-29 22:41:19 | 只看該作者
PoseCrafter: One-Shot Personalized Video Synthesis Following Flexible Pose Control,ter achieves superior results to baselines pre-trained on a vast collection of videos under 8 commonly used metrics. Besides, PoseCrafter can follow poses from different individuals or artificial edits and simultaneously retain the human identity in an open-domain training video. Our project page is
49#
發(fā)表于 2025-3-30 02:31:53 | 只看該作者
50#
發(fā)表于 2025-3-30 07:58:20 | 只看該作者
,Adaptive High-Frequency Transformer for?Diverse Wildlife Re-identification,mitigate the inevitable high-frequency interference in the wilderness environment, we introduce an object-aware high-frequency selection strategy to adaptively capture more valuable high-frequency components. Notably, we unify the experimental settings of multiple wildlife datasets for ReID, achievi
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