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Generalizable Novel-View Synthesis using a Stereo Camera
April 23, 2024, 4:46 a.m. | Haechan Lee, Wonjoon Jin, Seung-Hwan Baek, Sunghyun Cho
cs.CV updates on arXiv.org arxiv.org
Abstract: In this paper, we propose the first generalizable view synthesis approach that specifically targets multi-view stereo-camera images. Since recent stereo matching has demonstrated accurate geometry prediction, we introduce stereo matching into novel-view synthesis for high-quality geometry reconstruction. To this end, this paper proposes a novel framework, dubbed StereoNeRF, which integrates stereo matching into a NeRF-based generalizable view synthesis approach. StereoNeRF is equipped with three key components to effectively exploit stereo matching in novel-view synthesis: a …
abstract arxiv cs.cv framework geometry images novel paper prediction quality synthesis targets type view
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