Learning with Unreliability: Fast Few-shot Voxel Radiance Fields with Relative Geometric Consistency

Yingjie Xu, Bangzhen Liu, Hao Tang +2

We propose a voxel-based optimization framework, ReVoRF, for few-shot radiance fields that strategically address the unreliability in pseudo novel view synthesis. Our method pivots…