interrogate 发表于 2025-3-28 16:25:45
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http://reply.papertrans.cn/24/2343/234267/234267_42.pngACME 发表于 2025-3-28 23:41:11
http://reply.papertrans.cn/24/2343/234267/234267_43.pngMUMP 发表于 2025-3-29 04:23:02
,Self-calibrating Photometric Stereo by Neural Inverse Rendering,ing process. We gradually fit specularities from shiny to rough using novel progressive specular bases. Our method leverages a physically based rendering equation by minimizing the reconstruction error on a per-object-basis. Our method demonstrates state-of-the-art accuracy in light estimation and shape recovery on real-world datasets.正常 发表于 2025-3-29 09:31:12
http://reply.papertrans.cn/24/2343/234267/234267_45.pngDungeon 发表于 2025-3-29 11:45:35
http://reply.papertrans.cn/24/2343/234267/234267_46.png就职 发表于 2025-3-29 18:41:15
,CostDCNet: Cost Volume Based Depth Completion for a Single RGB-D Image, deep neural networks (.1.8M parameters), running in real time (.30 ms). Nevertheless, thanks to our simple but effective design, . demonstrates depth completion results comparable to or better than the state-of-the-art methods.cunning 发表于 2025-3-29 20:18:33
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The Economics of the Euro-Currency Systemn—and is the first approach to show the benefit of single rotation averaging for NRS.M. Furthermore, we outline how to effectively recover motion and non-rigid 3D shape using the proposed organic prior based approach and demonstrate results that outperform prior-free NRS.M performance by a significascrape 发表于 2025-3-30 04:02:57
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