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Improving Neural Radiance Field using Near-Surface Sampling with Point Cloud Generation
March 19, 2024, 4:51 a.m. | Hye Bin Yoo, Hyun Min Han, Sung Soo Hwang, Il Yong Chun
cs.CV updates on arXiv.org arxiv.org
Abstract: Neural radiance field (NeRF) is an emerging view synthesis method that samples points in a three-dimensional (3D) space and estimates their existence and color probabilities. The disadvantage of NeRF is that it requires a long training time since it samples many 3D points. In addition, if one samples points from occluded regions or in the space where an object is unlikely to exist, the rendering quality of NeRF can be degraded. These issues can be …
abstract arxiv cloud color cs.cv near nerf neural radiance field samples sampling space surface synthesis three-dimensional training type view
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