Computer Vision Group research:geometry https://cvg.cit.tum.de/ 2026-04-21T17:08:39+00:00 FeedCreator 1.8 (info@mypapit.net) FIRešŸ”„: Fast Inverse Rendering using Directional and Signed Distance Functions 2024-04-18T09:26:41+00:00 2024-04-18T09:26:41+00:00 https://cvg.cit.tum.de/research/geometry/fire?rev=1713432401&do=diff Anonymous anonymous@undisclosed.example.com FIRešŸ”„: Fast Inverse Rendering using Directional and Signed Distance Functions Tarun Yenamandra Ayush Tewari Nan Yang Florian Bernard Christian Theobalt Daniel Cremers Abstract Neural 3D implicit representations learn priors that are useful for diverse applications, such as single- or multiple-view 3D reconstruction. A major downside of existing approaches while rendering an image is that they require evaluating the network multiple times per camera ray so that the high computational timeā€¦ FIRešŸ”„: Fast Inverse Rendering using Directional and Signed Distance Functions Tarun Yenamandra Ayush Tewari Nan Yang Florian Bernard Christian Theobalt Daniel Cremers Abstract Neural 3D implicit representations learn priors that are useful for diverse applications, such as single- or multiple-view 3D reconstruction. A major downside of existing approaches while rendering an image is that they require evaluating the network multiple times per camera ray so that the high computational timeā€¦ research:geometry:intrinsic-neural-fields 2022-07-12T09:32:25+00:00 2022-07-12T09:32:25+00:00 https://cvg.cit.tum.de/research/geometry/intrinsic-neural-fields?rev=1657618345&do=diff Anonymous anonymous@undisclosed.example.com intrinsic-neural-fields intrinsic-neural-fields