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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

github.com/Tencent-Hunyuan/HY-World-2.0 · homepage · Python · NOASSERTION (other) 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

Full methodology

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

Member repositories

RepositoryRoleHealth v2
Tencent-Hunyuan/HY-World-2.0main58

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