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autonomousvision/sdfstudio

A Unified Framework for Surface Reconstruction observed · 2026-08-28

github.com/autonomousvision/sdfstudio · Python · Apache-2.0 (permissive) observed · 2026-08-28

Health v2 · maintenance only

31/100

  • Activity 0
  • Release rhythm 35
  • Longevity 96

Flags: no_releases

How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.

  • gap_med: n/a
  • age_days: 1357
  • days_rel: n/a
  • days_push: 784
  • n_releases_24m: 0

Full methodology

Adoption not part of the score

2120 stars · 195 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

SDFStudio is a unified and modular framework for neural implicit surface reconstruction built on top of nerfstudio. It provides unified implementations of methods like UniSurf, VolSDF, and NeuS, along with support for various scene representations and sampling strategies.

Use cases

  • reconstruct 3d surfaces from multi-view images
  • train neural implicit sdf models for scene reconstruction
  • compare different neural surface reconstruction methods like neus and volsdf
  • use monocular depth cues to improve 3d reconstruction
  • reconstruct surfaces from rgb-d data
  • experiment with different scene representations like tri-planes and feature grids
  • apply monocular cues to neus for mono-neus reconstruction

When to choose

  • you need a unified framework to implement or compare neural implicit surface reconstruction methods
  • you want to reconstruct high-quality 3d surfaces from multi-view or rgb-d images
  • you want to build on nerfstudio's infrastructure for 3d reconstruction research
  • you want to combine ideas from different reconstruction methods in a modular way

When to avoid

  • you need real-time 3d reconstruction on low-end hardware without a cuda gpu
  • you only need simple point cloud registration or mesh processing rather than neural reconstruction
  • you need a production-ready photogrammetry tool rather than a research framework
  • you work outside python or cannot install cuda dependencies like tiny-cuda-nn

Facets

library · maturity active

machine-learning deep-learning simulation graphics computer-vision image-processing machine-learning graphics autonomous-vehicles python cross-platform 3d-reconstruction implicit-neural-representation surface-reconstruction sdf nerf multi-view-reconstruction pytorch neural-rendering photogrammetry gpu linux

1 source

Member repositories

RepositoryRoleHealth v2
autonomousvision/sdfstudiomain31

For agents

markdown · JSON · MCP: product_card(name="autonomousvision/sdfstudio")

Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem