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

Computer Vision and Pattern Recognition 2024-10-22 v1 Machine Learning
Authors: Kazuhiro Ohta , Satoshi Ono
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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.

Keywords

neural radiance field rendering image classification

Cite

@article{arxiv.2410.14958,
  title  = {Neural Radiance Field Image Refinement through End-to-End Sampling Point Optimization},
  author = {Kazuhiro Ohta and Satoshi Ono},
  journal= {arXiv preprint arXiv:2410.14958},
  year   = {2024}
}

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