Web随着2024年NeRF[1]的横空出世，神经辐射场方法（Neural Radiance Fields）如雨后春笋般铺天盖地卷来。NeRF最初用来进行图像渲染，即给定相机视角，渲染出该视角下的图像。NeRF是建立在已有相机位姿的情况下，但在大多数的机器人应用中，相机的位姿是未知的。随后，越来越多的工作应用NeRF的技术既估计 ... WebIn this paper, we propose Bundle-Adjusting Neural Radiance Fields (BARF) for training NeRF from imperfect camera poses -- the joint problem of learning neural 3D representations and registering camera frames. We establish a theoretical connection to classical planar image registration and show that coarse-to-fine registration is also …

NoPe-NeRF: Optimising Neural Radiance Field with No Pose Prior

WebOct 1, 2024 · Neural Radiance Field (NeRF), a new novel view synthesis with implicit scene representation has taken the field of Computer Vision by storm. WebIn this paper, we propose Bundle-Adjusting Neural Radiance Fields (BARF) for training NeRF from imperfect (or even unknown) camera poses -- the joint problem of learning neural 3D representations and registering camera frames. 4 Paper Code Neighbourhood Consensus Networks ignacio-rocco/ncnet • • NeurIPS 2024 growing pains riley lyrics

Local-to-Global Registration for Bundle-Adjusting Neural Radiance Fields

WebNeural Radiance Fields (NeRF) [30] have recently gained a surge of interest within the computer vision community for its power to synthesize photorealistic novel views of real-world scenes. One limitation of NeRF, … WebApr 13, 2024 · Neural Radiance Fields (NeRF) have recently gained a surge of interest within the computer vision community for its power to synthesize photorealistic novel views of real-world scenes. One … WebMar 25, 2024 · Recent works such as BARF and GARF can bundle adjust camera poses with neural radiance fields (NeRF) which is based on coordinate-MLPs. Despite the impressive results, these methods cannot be applied to Generalizable NeRFs (GeNeRFs) which require image feature extractions that are often based on more complicated 3D … film woli