FRONT 发表于 2025-3-30 09:19:37

http://reply.papertrans.cn/25/2424/242323/242323_51.png

召集 发表于 2025-3-30 15:44:57

http://reply.papertrans.cn/25/2424/242323/242323_52.png

LEVY 发表于 2025-3-30 20:25:45

http://reply.papertrans.cn/25/2424/242323/242323_53.png

开花期女 发表于 2025-3-30 21:15:25

http://reply.papertrans.cn/25/2424/242323/242323_54.png

Notify 发表于 2025-3-31 02:34:28

http://reply.papertrans.cn/25/2424/242323/242323_55.png

HERE 发表于 2025-3-31 08:44:37

,ReLoo: Reconstructing Humans Dressed in Loose Garments from Monocular Video in the Wild,global optimization jointly optimizes the shape, appearance, and deformations of the human body and clothing via multi-layer differentiable volume rendering. To evaluate ReLoo, we record subjects with dynamically deforming garments in a multi-view capture studio. This evaluation, both on existing an

煤渣 发表于 2025-3-31 13:01:41

,Weakly-Supervised Camera Localization by Ground-to-Satellite Image Registration,ve and negative satellite images for each ground image and leverages contrastive learning to learn feature representations for ground and satellite images useful for translation estimation. We also propose a self-supervision strategy for cross-view image relative rotation estimation, which trains th

scrutiny 发表于 2025-3-31 14:42:23

http://reply.papertrans.cn/25/2424/242323/242323_58.png

最高峰 发表于 2025-3-31 20:21:12

,Teaching Tailored to Talent: Adverse Weather Restoration via Prompt Pool and Depth-Anything Constraprocess. Furthermore, by incorporating contrastive prompt loss, we ensures distinctive representations for both types of prompts by a mutual pushing strategy. Experimental results demonstrate that our method achieves state-of-the-art performance across various synthetic and real-world datasets, mark

四指套 发表于 2025-4-1 00:50:08

,MoE-DiffIR: Task-Customized Diffusion Priors for Universal Compressed Image  Restoration,n to the textual domain as the textual guidance for SD, enabling more consistent and reasonable texture generation. We also construct one comprehensive benchmark dataset for universal CIR, covering 21 types of degradations from 7 popular traditional and learned codecs. Extensive experiments on unive
页: 1 2 3 4 5 [6] 7
查看完整版本: Titlebook: Computer Vision – ECCV 2024; 18th European Confer Aleš Leonardis,Elisa Ricci,Gül Varol Conference proceedings 2025 The Editor(s) (if applic