rendering 3

[24.08.22 / CVPR 24'] LTM: Lightweight Textured Mesh Extraction and Refnement of Large Unbounded Scenes for Effcient Storage and Real-time Rendering

https://openaccess.thecvf.com/content/CVPR2024/papers/Choi_LTM_Lightweight_Textured_Mesh_Extraction_and_Refinement_of_Large_Unbounded_CVPR_2024_paper.pdfAbstractAdvancements in neural signed distance felds (SDFs) have enabled modeling 3D surface geometry from a set of 2D images of real-world scenes. Baking neural SDFs can extract explicit mesh with appearance baked into texture maps as neural fe..

[24.08.15 / ECCV 22'] KeypointNeRF: Generalizing Image-based Volumetric Avatars using Relative Spatial Encoding of Keypoints

https://www.ecva.net/papers/eccv_2022/papers_ECCV/papers/136750176.pdfAbstractImage-based volumetric humans using pixel-aligned features promise generalization to unseen poses and identities. Prior work leverages global spatial encodings and multi-view geometric consistency to reduce spatial ambiguity. However, global encodings often suffer from overfitting to the distribution of the training da..

[24.08.01 / CVPR24'] GP-NeRF: Generalized Perception NeRF for Context-Aware 3D Scene Understanding

https://openaccess.thecvf.com/content/CVPR2024/papers/Li_GP-NeRF_Generalized_Perception_NeRF_for_Context-Aware_3D_Scene_Understanding_CVPR_2024_paper.pdf AbstractApplying Neural Radiance Fields (NeRF) to downstream perception tasks for scene understanding and representation is becoming increasingly popular. Most existing methods treat semantic prediction as an additional rendering task, i.e., th..