June 11, 2024, 4:51 a.m. | Xiaoming Zhao, Pratul P. Srinivasan, Dor Verbin, Keunhong Park, Ricardo Martin Brualla, Philipp Henzler

cs.CV updates on arXiv.org arxiv.org

arXiv:2406.06527v1 Announce Type: new
Abstract: Existing methods for relightable view synthesis -- using a set of images of an object under unknown lighting to recover a 3D representation that can be rendered from novel viewpoints under a target illumination -- are based on inverse rendering, and attempt to disentangle the object geometry, materials, and lighting that explain the input images. Furthermore, this typically involves optimization through differentiable Monte Carlo rendering, which is brittle and computationally-expensive. In this work, we propose …

arxiv cs.ai cs.cv cs.gr inverse rendering rendering type

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