Learning Novel View Synthesis from Heterogeneous Low-light Captures

arXiv:2403.13337v1 Announce Type: new
Abstract: Neural radiance field has achieved fundamental success in novel view synthesis from input views with the same brightness level captured under fixed normal lighting. Unfortunately, synthesizing novel views remains to be a challenge for input views with heterogeneous brightness level captured under low-light condition. The condition is pretty common in the real world. It causes low-contrast images where details are concealed in the darkness and camera sensor noise significantly degrades the image quality. To tackle …

abstract arxiv challenge cs.ai cs.cv light lighting low neural radiance field normal novel success synthesis type view