DyBluRF: Dynamic Deblurring Neural Radiance Fields for Blurry Monocular Video

arXiv:2312.13528v2 Announce Type: replace
Abstract: Neural Radiance Fields (NeRF), initially developed for static scenes, have inspired many video novel view synthesis techniques. However, the challenge for video view synthesis arises from motion blur, a consequence of object or camera movement during exposure, which hinders the precise synthesis of sharp spatio-temporal views. In response, we propose a novel dynamic deblurring NeRF framework for blurry monocular video, called DyBluRF, consisting of a Base Ray Initialization (BRI) stage and a Motion Decomposition-based Deblurring …

abstract arxiv challenge cs.cv dynamic fields however nerf neural radiance fields novel object synthesis temporal type video view