Jiaming Sun 等人在 SIGGRAPH 2022 上发表的 Neural 3D Reconstruction in the Wild 将 NeRF-based 3D Reconstruction 应用拓展至野外大场景、无约束网络图片集。 https://zju3dv.github.io/neuralrecon-w/zju3dv.github.io/neuralrecon-w/ https://github.com/zju3dv/NeuralRecon-Wgithub.com/zju3dv/...
Neural 3D Reconstruction in the Wild （NeuralRecon-W）将基于NeRF的三维重建应用拓展至野外大场景及无约束网络图片集，解决了NeRF在三维重建中的局限性。文章指出，虽然NeRF在视图合成上表现出色，但在几何表面提取方面效果不佳。近年来，神经隐式表达在计算机视觉和图形学中热度上升，应用于形状生成、视图...
3D reconstruction of large scenes is a challenging problem due to the high-complexity nature of the solution space, in particular for generative neural networks. In contrast to traditional generative learned models which encode the full generative process into a neural network and can struggle with ...
NeRS: Neural Reflectance Surfaces for Sparse-view 3D Reconstruction in the Wild 来自 Semantic Scholar 喜欢 0 阅读量: 220 作者:JY Zhang,G Yang,S Tulsiani,D Ramanan 摘要: Recent history has seen a tremendous growth of work exploring implicit representations of geometry and radiance, popularized ...
@inproceedings{zhang2021ners,title={{NeRS}: Neural Reflectance Surfaces for Sparse-view 3D Reconstruction in the Wild},author={Zhang, Jason Y. and Yang, Gengshan and Tulsiani, Shubham and Ramanan, Deva},booktitle={Conference on Neural Information Processing Systems},year={2021}} ...
(2)不假设所有观察到的像素颜色都同样可靠,而是允许我们的瞬态头发射不确定场emit a field of uncertainty(很像我们现有的颜色和密度场),这允许我们的模型调整其重建损失adapt its reconstruction loss,以忽略不可靠的像素和可能包含遮挡物的3D位置。 简单来说,静态场和原始NeRF没有任何区别,而瞬时场中作者要求光线不...
几篇论文实现代码:《NEURALSLICE: Neural 3D Triangle Mesh Reconstruction via Slicing 4D Tetrahedral Meshes》(ICML 2023) GitHub: github.com/IGLICT/NEURALSLICE 《PAPR: Proximity Attention Point Rende...
In the ray/pixel dimension, our design tends to sample those pixels that are more time- variant than others. These strategies allow us to shorten the training time of long sequences significantly, while retain- ing high quality reconstruction results. We demonstrate our approach using a multi...
Texture Mapping for 3D Reconstruction with RGB-D Sensor. Yanping Fu,Qingan Yan, Long Yang, Jie Liao,Chunxia Xiao. CVPR 2018. [PDF] [thecvf] [Code on Github] Let There Be Color! - Large-Scale Texturing of 3D Reconstructions. Waechter, Michael and Moehrle, Nils and Goesele, Michael. ...
Depth estimation is of critical interest for scene understanding and accurate 3D reconstruction. Most recent approaches in depth estimation with deep learning exploit geometrical structures of standard sharp images to predict corresponding depth maps. However, cameras can also produce images with defocus ...