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PSDF: Prior-Driven Neural Implicit Surface Learning for Multi-view Reconstruction
While NISR has shown impressive results on simple scenes, it remains challenging to recover delicate geometry from uncontrolled real-world scenes which is caused by its underconstrained optimization.
PR-NeuS: A Prior-based Residual Learning Paradigm for Fast Multi-view Neural Surface Reconstruction
In this work, we propose a prior-based residual learning paradigm for fast multi-view neural surface reconstruction.
PG-NeuS: Robust and Efficient Point Guidance for Multi-View Neural Surface Reconstruction
Recently, learning multi-view neural surface reconstruction with the supervision of point clouds or depth maps has been a promising way.
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