IEEE

NR-MVSNet: Learning Multi-View Stereo Based on Normal Consistency and Depth Refinement

Abstract: Multi-view Stereo (MVS) aims to reconstruct a 3D point cloud model from multiple views. In recent years, learning-based MVS methods have received a lot of attention and achieved excellent ...
GitHub

README.md

MVSNet is a deep learning architecture for depth map inference from unstructured multi-view images, and R-MVSNet is its extension for scalable learning-based MVS reconstruction. If you find this ...
IEEE

CL-MVSNet: Unsupervised Multi-view Stereo with Dual-level Contrastive Learning

Abstract: Unsupervised Multi-View Stereo (MVS) methods have achieved promising progress recently. However, previous methods primarily depend on the photometric consistency assumption, which may suffer ...
GitHub

KD-MVS: Knowledge Distillation Based Self-supervised Learning for Multi-view Stereo

Tips: If you meet any problems when reproduce our results, please contact Yikang Ding (dyk20@mails.tsinghua.edu.cn). We are happy to help you solve the problems and share our experience. 12.2022: ...