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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

github.com/Tencent-Hunyuan/HunyuanWorld-Voyager · homepage · Python · NOASSERTION (other) 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

Full methodology

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

Member repositories

RepositoryRoleHealth v2
Tencent-Hunyuan/HunyuanWorld-Voyagermain52

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