Improve 3D scene reconstruction using monocular depth and normal cues with MonoSDF

Improve 3D scene reconstruction using monocular depth and normal cues with MonoSDF

MonoSDF: Exploring Monocular Geometric Cues for Neural Implicit Surface Reconstruction

arXiv paper abstract https://arxiv.org/abs/2206.00665

arXiv PDF paper https://arxiv.org/pdf/2206.00665.pdf

Project page https://niujinshuchong.github.io/monosdf

... neural implicit surface reconstruction methods have become popular for multi-view 3D reconstruction.

In contrast to traditional multi-view stereo methods, these approaches tend to produce smoother and more complete reconstructions due to the inductive smoothness bias of neural networks.

... neural implicit methods ... performance drops significantly for larger and more complex scenes and scenes captured from sparse viewpoints.

... caused ... by ... ambiguity in the RGB reconstruction loss that does not provide enough constraints, in particular in less-observed and textureless areas.

Motivated by ... advances in ... monocular geometry prediction, ... explore the utility these cues provide for improving neural implicit surface reconstruction.

... demonstrate that depth and normal cues, predicted by general-purpose monocular estimators, significantly improve reconstruction quality and optimization time ...

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