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NC-SDF: Enhancing Indoor Scene Reconstruction Using Neural SDFs with View-Dependent Normal Compensation
May 2, 2024, 4:44 a.m. | Ziyi Chen, Xiaolong Wu, Yu Zhang
cs.CV updates on arXiv.org arxiv.org
Abstract: State-of-the-art neural implicit surface representations have achieved impressive results in indoor scene reconstruction by incorporating monocular geometric priors as additional supervision. However, we have observed that multi-view inconsistency between such priors poses a challenge for high-quality reconstructions. In response, we present NC-SDF, a neural signed distance field (SDF) 3D reconstruction framework with view-dependent normal compensation (NC). Specifically, we integrate view-dependent biases in monocular normal priors into the neural implicit representation of the scene. By adaptively …
abstract art arxiv challenge compensation cs.cv however normal quality results state supervision surface type view
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