4 citations · 4 across the 5 of their papers we have counts for
Showing 2023Show all
2 papers · 1 filter
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★ 4 cited
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…