Leveraging Thermal Modality to Enhance Reconstruction in Low-Light Conditions

arXiv:2403.14053v1 Announce Type: new
Abstract: Neural Radiance Fields (NeRF) accomplishes photo-realistic novel view synthesis by learning the implicit volumetric representation of a scene from multi-view images, which faithfully convey the colorimetric information. However, sensor noises will contaminate low-value pixel signals, and the lossy camera image signal processor will further remove near-zero intensities in extremely dark situations, deteriorating the synthesis performance. Existing approaches reconstruct low-light scenes from raw images but struggle to recover texture and boundary details in dark regions. Additionally, …

abstract arxiv cs.cv cs.gr fields however image images information light low near nerf neural radiance fields novel photo pixel processor representation sensor signal synthesis type value view will