Tencent-Hunyuan/HY-World-2.0
HY-World 2.0: A Multi-Modal World Model for Reconstructing, Generating, and Simulating 3D Worlds observed · 2026-08-28
Health v2 · maintenance only
58/100
- Activity 97
- Release rhythm 35
- Longevity 10
Flags: no_releases young no_license
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-02. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 145
- days_rel: n/a
- days_push: 21
- n_releases_24m: 0
Adoption not part of the score
2571 stars · 214 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
HY-World 2.0 is Tencent Hunyuan's open-source multi-modal world model framework that reconstructs, generates, and simulates 3D worlds from text, single-view images, multi-view images, or video, outputting meshes or Gaussian Splattings. The repository ships inference code and pretrained model weights (including WorldMirror 2.0, HY-Pano 2.0, and WorldStereo 2.0) for a staged pipeline covering panorama generation, world reconstruction, and stereo synthesis.
Use cases
- generate navigable 3D scenes from a text prompt
- reconstruct an explorable 3D world from a single photo
- build 3D environments from multi-view images or video
- produce Gaussian Splatting or mesh representations of real scenes
- generate panoramas and stereo pairs for 3D scene pipelines
- create 3D world assets for games or simulations
- run state-of-the-art world model inference locally
When to choose
- you need high-fidelity 3D world generation or reconstruction from text, images, or video
- you want to use pretrained Hunyuan world model weights with ready inference code
- you need mesh or Gaussian Splatting outputs for downstream 3D pipelines
- you are researching world models, 3D generation, or novel view synthesis
When to avoid
- you need a commercial-friendly license — the repository uses a custom license (NOASSERTION) that may restrict use
- you need full training code — primarily inference code and weights are open-sourced
- you lack a capable GPU environment for large generative model inference
- you need lightweight real-time 3D editing tools rather than generation/reconstruction models
Facets
library · maturity active
machine-learning deep-learning computer-vision image-processing graphics simulation video-processing artificial-intelligence deep-learning computer-vision image-processing graphics simulation python 3d-generation world-model 3d-reconstruction gaussian-splatting mesh-generation text-to-3d image-to-3d panorama-generation stereo-generation scene-reconstruction pretrained-models inference-code tencent-hunyuan game-development linux gpu
2 sources
- readme: https://github.com/Tencent-Hunyuan/HY-World-2.0 · fetched 2026-08-28 · 8faae1735bfb
- homepage: https://3d-models.hunyuan.tencent.com/world/ · fetched 2026-08-29 · 64d8acac6828
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| Tencent-Hunyuan/HY-World-2.0 | main | 58 |
For agents
markdown · JSON · MCP: product_card(name="Tencent-Hunyuan/HY-World-2.0")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem