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803 B · updated 2026-05-19 · md

about.md

examples/demo-corpus/data/research/repos/totoro97-neus/about.md

About Totoro97/NeuS

The official implementation of NeuS: Learning Neural Implicit Surfaces by Volume Rendering for Multi-view Reconstruction (Wang et al., 2021). See the paper page for context.

NeuS represents geometry as a signed distance function (SDF) and renders it through an unbiased, occlusion-aware volume-rendering scheme, fixing the surface-bias problem that limited earlier NeRF-style reconstructions. The repo reproduces the DTU and BlendedMVS mesh-extraction results that anchor the Mesh and Surface Reconstruction section of the corpus, alongside related work like VolSDF, UNISURF, and MonoSDF. Mirrored under MIT — README only.