Web: http://arxiv.org/abs/2209.10510

Sept. 22, 2022, 1:12 a.m. | Yu-Ying Yeh, Koki Nagano, Sameh Khamis, Jan Kautz, Ming-Yu Liu, Ting-Chun Wang

cs.LG updates on arXiv.org arxiv.org

Given a portrait image of a person and an environment map of the target
lighting, portrait relighting aims to re-illuminate the person in the image as
if the person appeared in an environment with the target lighting. To achieve
high-quality results, recent methods rely on deep learning. An effective
approach is to supervise the training of deep neural networks with a
high-fidelity dataset of desired input-output pairs, captured with a light
stage. However, acquiring such data requires an expensive special …

arxiv images light stage virtual

More from arxiv.org / cs.LG updates on arXiv.org

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