Tencent-Hunyuan/HunyuanWorld-Voyager
Voyager is an interactive RGBD video generation model conditioned on camera input, and supports real-time 3D reconstruction. observed · 2026-08-28
Health v2 · maintenance only
52/100
- Activity 77
- Release rhythm 35
- Longevity 26
Flags: no_releases 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: 371
- days_rel: n/a
- days_push: 140
- n_releases_24m: 0
Adoption not part of the score
1590 stars · 163 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
HunyuanWorld-Voyager is a video diffusion framework from Tencent Hunyuan that generates world-consistent RGBD video and 3D point-cloud sequences from a single image along a user-defined camera path. It includes inference code and model weights, with generated aligned RGB and depth that can be used for real-time 3D scene reconstruction.
Use cases
- generate a 3d-consistent scene video from a single image
- create an explorable 3d world from one photo
- control the camera trajectory in ai video generation
- generate aligned rgb and depth video for 3d reconstruction
- build a 3d point cloud from a generated video
- image to 3d world model
When to choose
- you want 3D-consistent video generation from a single input image
- you need RGB and depth outputs that align for direct 3D reconstruction
- you need to steer generation along a custom or user-defined camera path
- you want to generate 3D point-cloud sequences of a scene for world exploration
When to avoid
- you need general-purpose text-to-video generation without 3D constraints
- you lack a high-VRAM GPU for large video diffusion inference
- you want real-time interactive world creation or play, where successor models like HunyuanWorld-1.5 or HY-World-2.0 may fit better
- you need a production-grade SDK or hosted API rather than a research codebase and model weights
Facets
library · maturity active
machine-learning deep-learning video-processing image-processing computer-vision gpu-computing artificial-intelligence deep-learning machine-learning computer-vision image-processing graphics python 3d-reconstruction world-model video-diffusion rgbd point-cloud camera-control scene-generation image-to-video 3d-world-generation hunyuan video gpu linux
2 sources
- readme: https://github.com/Tencent-Hunyuan/HunyuanWorld-Voyager · fetched 2026-08-28 · 1a76ceda588f
- homepage: https://3d-models.hunyuan.tencent.com/world/ · fetched 2026-08-29 · 64d8acac6828
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| Tencent-Hunyuan/HunyuanWorld-Voyager | main | 52 |
For agents
markdown · JSON · MCP: product_card(name="Tencent-Hunyuan/HunyuanWorld-Voyager")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem