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GaNI: Global and Near Field Illumination Aware Neural Inverse Rendering
March 26, 2024, 4:46 a.m. | Jiaye Wu, Saeed Hadadan, Geng Lin, Matthias Zwicker, David Jacobs, Roni Sengupta
cs.CV updates on arXiv.org arxiv.org
Abstract: In this paper, we present GaNI, a Global and Near-field Illumination-aware neural inverse rendering technique that can reconstruct geometry, albedo, and roughness parameters from images of a scene captured with co-located light and camera. Existing inverse rendering techniques with co-located light-camera focus on single objects only, without modeling global illumination and near-field lighting more prominent in scenes with multiple objects. We introduce a system that solves this problem in two stages; we first reconstruct the …
abstract arxiv cs.cv focus geometry global images inverse rendering light near objects paper parameters rendering type
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