Surface reconstruction even when occlusion by using density with volume rendering with NeuS
Surface reconstruction even when occlusion by using density with volume rendering with NeuS
NeuS: Learning Neural Implicit Surfaces by Volume Rendering for Multi-view Reconstruction
arXiv paper abstract https://arxiv.org/abs/2106.10689
arXiv PDF paper https://arxiv.org/pdf/2106.10689.pdf
... present a novel neural surface reconstruction method, called NeuS, for reconstructing objects and scenes with high fidelity from 2D image inputs.
... neural surface reconstruction approaches, such as DVR and IDR, require foreground mask as supervision ... struggle with ... objects with severe self-occlusion or thin structures.
... neural methods for novel view synthesis, such as NeRF ... use volume rendering ... However, extracting high-quality surfaces ... is difficult because there are not sufficient surface constraints in the representation.
In NeuS, ... represent a surface as the zero-level set of a signed distance function (SDF) and develop a new volume rendering method to train a neural SDF representation.
... conventional volume rendering method causes inherent geometric errors (i.e. bias) for surface reconstruction, and therefore propose a new formulation that is free of bias
... NeuS outperforms the state-of-the-arts in high-quality surface reconstruction, especially for objects and scenes with complex structures and self-occlusion.
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