# chensjtu/GaussianObject

GaussianObject: High-Quality 3D Object Reconstruction from Four Views with Gaussian Splatting (SIGGRAPH Asia 2024, TOG)

Repository: https://github.com/chensjtu/GaussianObject
Canonical: https://ross.abutalabs.com/products/gaussianobject
Language: Jupyter Notebook
License Family: other
Last push: 2024-09-29T12:44:00+00:00

## Health v2 (maintenance only)
Score: 26/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 0, release rhythm 35, longevity 67
- inputs: {"age_days": 940, "days_push": 703, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1183, forks 84 (observed 2026-08-28T04:03:54.530545+00:00)

## What it is
GaussianObject is a research framework for high-quality 3D object reconstruction from as few as four input images using Gaussian splatting, including a COLMAP-free mode. It combines visual hull initialization, floater elimination, and a diffusion-based Gaussian repair model, published at SIGGRAPH Asia 2024.

## Use cases
- reconstruct a 3D object from only 4 photos
- novel view synthesis of captured objects
- 3D reconstruction without COLMAP camera poses
- repair sparse-view Gaussian splatting with diffusion models
- research on few-shot 3D reconstruction
- render high-quality object views from casually captured images

## When to choose
- you need 3D object reconstruction from very few images
- you want a state-of-the-art sparse-view Gaussian splatting research baseline
- you lack camera pose estimation tooling and need COLMAP-free reconstruction

## When to avoid
- you need a production-ready 3D scanning pipeline with support
- you require a permissively licensed project - no license is specified
- you need full scene reconstruction rather than single objects
- you lack a GPU or ML environment

## Facets
- artifact type: library
- maturity: active
- function: machine-learning, deep-learning, image-processing, computer-vision, graphics, simulation
- domain: computer-vision, graphics, artificial-intelligence, deep-learning
- platform: python, cross-platform
- tags: gaussian-splatting, 3d-reconstruction, novel-view-synthesis, diffusion-models, research-code, few-shot, siggraph, linux, gpu

## Member repositories
- chensjtu/GaussianObject (main) score 26

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:03:54.530545+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T06:24:33.057930+00:00, confidence not recorded.
  - readme: https://github.com/chensjtu/GaussianObject (fetched 2026-08-28T04:03:54.530545+00:00, sha 0c733ed73e0f)
- Data as of 2026-08-30T08:39:29.467469+00:00.