3 papers
cs.CV2024
PSDF: Prior-Driven Neural Implicit Surface Learning for Multi-view Reconstruction
Wanjuan Su, Chen Zhang, Qingshan Xu +1
Surface reconstruction has traditionally relied on the Multi-View Stereo (MVS)-based pipeline, which often suffers from noisy and incomplete geometry. This is due to that although…
cs.CV2023
PR-NeuS: A Prior-based Residual Learning Paradigm for Fast Multi-view Neural Surface Reconstruction
Jianyao Xu, Qingshan Xu, Xinyao Liao +4
Neural surfaces learning has shown impressive performance in multi-view surface reconstruction. However, most existing methods use large multilayer perceptrons (MLPs) to train thei…
cs.CV2023
PG-NeuS: Robust and Efficient Point Guidance for Multi-View Neural Surface Reconstruction
Chen Zhang, Wanjuan Su, Qingshan Xu +1
Recently, learning multi-view neural surface reconstruction with the supervision of point clouds or depth maps has been a promising way. However, due to the underutilization of pri…