Androgen 发表于 2025-3-23 10:33:39
UniProcessor: A Text-Induced Unified Low-Level Image Processor,ng-based methods have shown superior performance for various image processing tasks in terms of single-task conditions. However, they require to train separate models for different degradations and levels, which limits the generalization abilities of these models and restricts their applications inconsiderable 发表于 2025-3-23 17:19:31
http://reply.papertrans.cn/25/2424/242335/242335_12.pngcaldron 发表于 2025-3-23 20:49:15
http://reply.papertrans.cn/25/2424/242335/242335_13.png口诀法 发表于 2025-3-24 01:30:25
http://reply.papertrans.cn/25/2424/242335/242335_14.png热心助人 发表于 2025-3-24 02:59:21
,PatchRefiner: Leveraging Synthetic Data for Real-Domain High-Resolution Monocular Metric Depth Estidepth estimation is crucial for applications such as autonomous driving, 3D generative modeling, and 3D reconstruction, achieving accurate high-resolution depth in real-world scenarios is challenging due to the constraints of existing architectures and the scarcity of detailed real-world depth data.讲个故事逗他 发表于 2025-3-24 08:15:24
http://reply.papertrans.cn/25/2424/242335/242335_16.pngHyaluronic-Acid 发表于 2025-3-24 10:43:20
,Towards Robust Event-Based Networks for Nighttime via Unpaired Day-to-Night Event Translation,aptured during the day. This difference causes performance degradation when applying night events to a model trained solely on day events. This limitation persists due to a lack of annotated night events. To overcome the limitation, we aim to alleviate data imbalance by translating annotated day datlanguor 发表于 2025-3-24 16:03:13
http://reply.papertrans.cn/25/2424/242335/242335_18.png骂人有污点 发表于 2025-3-24 19:49:17
,A Riemannian Approach for Spatiotemporal Analysis and Generation of 4D Tree-Shaped Structures, shapes bend, stretch and change in their branching structure over time as they deform, grow, and interact with their environment. Our key contribution is the representation of tree-like 3D shapes using Square Root Velocity Function Trees (SRVFT) [.]. By solving the spatial registration in the SRVFTlobster 发表于 2025-3-25 01:39:59
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