Akihiro Tsukada

Flow Supervised Neural Radiance Fields for Static-Dynamic Decomposition

We present an approach to synthesize novel views from dynamics scenes captured by multi-view videos of cameras mounted on a driving vehicle. We unify existing methods and propose a new training loss to explicitly disentangle the static background from the dynamic foreground objects using scene flow'…