SpikeNVS: Enhancing Novel View Synthesis from Blurry Images via Spike Camera

arXiv:2404.06710v1 Announce Type: new
Abstract: One of the most critical factors in achieving sharp Novel View Synthesis (NVS) using neural field methods like Neural Radiance Fields (NeRF) and 3D Gaussian Splatting (3DGS) is the quality of the training images. However, Conventional RGB cameras are susceptible to motion blur. In contrast, neuromorphic cameras like event and spike cameras inherently capture more comprehensive temporal information, which can provide a sharp representation of the scene as additional training data. Recent methods have explored …

abstract arxiv cameras cs.ai cs.cv fields however images nerf neural radiance fields novel quality synthesis training type via view