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News2025 09 05 Tencent Hunyuanworld Voyager 3d Video Generation

ByteDance Releases USO: Unified Style and Subject-Driven Image Generation Model

08/28/2025

title: “Tencent HunyuanWorld Voyager: Generating 3D World Exploration Videos from a Single Image” description: “Tencent Hunyuan team releases Voyager technology, capable of generating world-consistent 3D point cloud sequence videos from a single image and user-defined camera paths, supporting infinite world exploration and direct 3D reconstruction” tag: tencent, video date: 2025-09-05

Tencent HunyuanWorld Voyager: Generating 3D World Exploration Videos from a Single Image

Voyager

The Tencent Hunyuan team recently released the HunyuanWorld-Voyager technology, an innovative video diffusion framework capable of generating world-consistent 3D point cloud sequences from a single image and user-defined camera paths. This technology provides new solutions for 3D scene generation and world exploration.

Technical Features

demo

The core advantage of Voyager lies in its world-consistent video generation capability. Compared to existing methods, this technology has the following features:

End-to-End Scene Generation: Voyager can achieve end-to-end scene generation and reconstruction, maintaining intrinsic consistency between frames without additional 3D reconstruction processes.

Long-Distance World Exploration: Through efficient world caching and point cloud culling technology, combined with autoregressive inference and smooth video sampling, it supports iterative scene expansion while maintaining context-aware consistency.

Scalable Data Engine: Provides a video reconstruction pipeline that can automatically perform camera pose estimation and metric depth prediction, supporting large-scale, diverse training data curation without manual 3D annotation.

Technical Architecture

Voyager integrates three key components:

  1. World-Consistent Video Diffusion: A unified architecture that jointly generates aligned RGB and depth video sequences, conditioned on existing world observations to ensure global consistency

  2. Long-Distance World Exploration: An efficient world caching mechanism containing point cloud culling and autoregressive inference, supporting smooth video sampling for iterative scene expansion

  3. Scalable Data Engine: A video reconstruction pipeline for automated camera pose estimation and metric depth prediction, supporting large-scale training data curation

Application Scenarios

This technology has broad application prospects in multiple fields:

  • 3D World Generation: Creating explorable 3D scenes from a single image
  • Video Game Development: Rapidly generating game scenes and virtual worlds
  • Film Production: Providing 3D scene content for movies and animations
  • Robotics Simulation: Providing virtual environments for robot training
  • Virtual Reality: Creating immersive VR experience content

Performance

In the WorldScore benchmark test, Voyager performed excellently across multiple evaluation dimensions:

  • Camera Control: 85.95 points
  • Content Alignment: 68.92 points
  • 3D Consistency: 81.56 points
  • Subjective Quality: 71.09 points

The overall average score reached 77.62 points, ranking first among the compared methods.

Technical Advantages

Compared to traditional 3D generation methods, Voyager has the following advantages:

Avoiding Visual Hallucinations: Through depth information as spatial priors, it avoids visual hallucination issues that may arise from relying solely on RGB conditions

Direct 3D Reconstruction: Simultaneously generates aligned RGB and depth sequences, supporting direct 3D scene reconstruction without additional structure-from-motion or multi-view stereo matching steps

Infinite World Expansion: Supports camera trajectories of arbitrary length, capable of maintaining original spatial layouts while performing infinite world expansion

Related Links

This technology has been open-sourced on the Hugging Face platform. Researchers and developers can access it through the following: