# hzxie/Awesome-3D-Scene-Generation

A curated list of awesome 3D scene generation papers. (IJCV 2026)

Repository: https://github.com/hzxie/Awesome-3D-Scene-Generation
Canonical: https://ross.abutalabs.com/products/awesome-3d-scene-generation
License Family: other
Topics: 3d-aigc, 3d-scene-generation, awesome-list, paper-review
Last push: 2026-08-11T02:49:45+00:00

## Health v2 (maintenance only)
Score: 64/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 97, release rhythm 35, longevity 40
- inputs: {"age_days": 573, "days_push": 22, "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 1084, forks 54 (observed 2026-08-28T04:03:31.526365+00:00)

## What it is
A curated awesome-list of over 300 papers on 3D scene generation, organized in a hierarchical taxonomy covering procedural, neural, image-based, and video-based methods, plus datasets and downstream applications. It accompanies an IJCV 2026 survey and is continuously updated via community contributions.

## Use cases
- find papers on 3d scene generation
- survey of 3d scene generation methods
- datasets for 3d scene generation research
- literature review for 3d aigc
- research on procedural and neural 3d scene synthesis
- papers on 3d scene generation for robotics and autonomous driving

## When to choose
- you need a comprehensive, taxonomy-organized reading list on 3D scene generation
- you are writing a survey or starting research in 3D AIGC
- you want links to datasets and downstream applications like embodied navigation

## When to avoid
- you need runnable code or a library rather than a paper list
- you want a single tool for generating 3D scenes
- you need guaranteed maintenance or a license

## Facets
- artifact type: learning-resource
- maturity: active
- function: documentation
- domain: artificial-intelligence, computer-vision, graphics, awesome-lists, tutorials
- platform: cross-platform
- tags: awesome-list, 3d-scene-generation, 3d-aigc, paper-curation, survey

## Member repositories
- hzxie/Awesome-3D-Scene-Generation (main) score 64

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:03:31.526365+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 2026-08-30T06:50:02.279048+00:00, confidence not recorded.
  - readme: https://github.com/hzxie/Awesome-3D-Scene-Generation (fetched 2026-08-28T04:03:31.526365+00:00, sha a56d051b5aae)
- Data as of 2026-08-30T08:39:29.467469+00:00.