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

2024/10/19 by Ohta, Kazuhiro, Ono, Satoshi
#Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG)

paper · doi:10.48550/arxiv.2410.14958

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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