Neural Radiance Field Image Refinement through End-to-End Sampling Point Optimization

Kazuhiro Ohta, Satoshi Ono
10/19/2024
cs.CVcs.LG

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Abstract

Neural Radiance Field (NeRF), capable of synthesizing high-quality novel viewpoint images, suffers from issues like artifact occurrence due to its fixed sampling points during rendering. This study proposes a method that optimizes sampling points to reduce artifacts and produce more detailed images.

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Cite this paper

@article{ohta2024neural,
  title  = {Neural Radiance Field Image Refinement through End-to-End Sampling Point Optimization},
  author = {Kazuhiro Ohta and Satoshi Ono},
  year   = {2024},
  eprint = {2410.14958},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2410.14958v1}
}

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