Xunzhi Zheng

Flow-NeRF: Joint Learning of Geometry, Poses, and Dense Flow within Unified Neural Representations

Learning accurate scene reconstruction without pose priors in neural radiance fields is challenging due to inherent geometric ambiguity. Recent development either relies on correspondence priors for regularization or uses off-the-shelf flow estimators to derive analytical poses. However, the potenti…