Ray Priors through Reprojection: Improving Neural Radiance Fields for Novel View Extrapolation. (arXiv:2205.05922v1 [cs.CV])

Web: http://arxiv.org/abs/2205.05922

Neural Radiance Fields (NeRF) have emerged as a potent paradigm for
representing scenes and synthesizing photo-realistic images. A main limitation
of conventional NeRFs is that they often fail to produce high-quality
renderings under novel viewpoints that are significantly different from the
training viewpoints. In this paper, instead of exploiting few-shot image
synthesis, we study the novel view extrapolation setting that (1) the training
images can well describe an object, and (2) there is a notable discrepancy
between the training and …

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