Hunyuan 3D World Model 1.0 - Tencent's open-source 3D world generation model

What is Hunyuan 3D World Model 1.0?

Hunyuan World 1.0, officially released and open-sourced by Tencent at the World Artificial Intelligence Conference, is the industry's first immersive, interactive, and simulated world generation model. The model integrates panoramic visual generation and layered 3D reconstruction technologies, supporting the generation of a 360-degree immersive 3D scene within minutes via text or image input. Users can freely roam the generated world, experiencing a game-like or virtual reality-like interactive feel. The model supports physical simulation and secondary editing, and the generated scenes can be imported into mainstream engines such as Unity and Unreal Engine for further development.

Main functions of Hunyuan 3D World Model 1.0

• Generate a 360-degree panoramic world with one clickUsers can quickly generate a complete 360-degree immersive 3D scene using simple text descriptions or by uploading an image. For example, by inputting "a dilapidated gas station, raining at night, with neon lights in the distance," the model can construct a complete space including the gas station itself, the environment, sky lighting, lightning, and other elements.
• A roamable and interactive 3D worldThe generated 3D scenes not only support 360-degree perspective switching, allowing users to freely roam within the scene and experience an interactive feel similar to games or virtual reality. Users can control character movement using the WASD keys and drag the mouse to switch perspectives and explore the generated virtual world.
• Supports physical simulation and secondary editingThe generated scenes support physical simulation and independent editing. Users can select foreground objects, bind skeletons, or add behavioral logic, and can also replace or customize elements such as the sky and terrain. The generated scenes can be exported as standard Mesh files, seamlessly compatible with mainstream tools such as Unity, Unreal Engine, and Blender, and can be directly used in game development, film and television special effects production, educational simulations, and other scenarios.
• High-quality generation capabilityThe Hunyuan 3D World Model 1.0 surpasses current state-of-the-art (SOTA) open-source models in terms of aesthetic quality and instruction compliance in both text-based and image-based worlds. Employing a "semantic hierarchical 3D scene representation and generation algorithm," it deconstructs the complex 3D world into different semantic levels such as foreground, midground, and background, achieving intelligent separation. The generated scenes are not only visually realistic but also possess high flexibility and scalability.
• Multimodal input supportThe model supports multiple input methods, including natural language descriptions and image inputs. Users can choose the appropriate input method according to their needs to quickly generate the required 3D scene.

Technical Principles of Hunyuan 3D World Model 1.0

• Two-stage generative paradigm
  • Compression and Representation of the 3D World (3D-aware VAE):The model first uses a specially designed3D-aware Variational Autoencoder (VAE)This encodes complex 3D scene data into low-dimensional but information-rich latent spatial representations.
  • Diffusion generation in the latent space (Diffusion Transformer):After obtaining a high-quality latent space, the model passes through a...Diffusion ModelIts backbone network employs powerfulTransformer architecture (i.e., Difusion Transformer, DiT)Starting with the latent encoding of random noise, and guided by the semantics of text or image cues, the noise is gradually sculpted into a latent encoding of the 3D world that meets the user's requirements.Finally, the generated latent code is restored to the specific 3D world by the VAE decoder.
• Semantic Hierarchical 3D Scene Representation and Generation Algorithm:The algorithm deconstructs the complex 3D world into different semantic levels, achieving intelligent separation of foreground and background, and ground and sky.It ensures that the generated scene has realistic visual effects, supports independent editing and physical simulation of elements in the scene, and is compatible with mainstream tools such as Unity, Unreal Engine, and Blender.
• A powerful generation engine (Diffusion Transformer):The model uses a Diffusion Transformer with approximately 2 billion parameters. Its self-attention mechanism is adept at capturing long-distance dependencies, ensuring global consistency of the scene.By employing a cross-attention mechanism, semantic information from text or image prompts is precisely injected into the generation process, enabling accurate and controllable generation.

Project address for Hunyuan 3D World Model 1.0

• Project official website: https://3d-models.hunyuan.tencent.com/world/
• Github repository: https://github.com/Tencent-Hunyuan/HunyuanWorld-1.0
• HuggingFace model libraryhttps://huggingface.co/tencent/HunyuanWorld-1
• Official website usageTencent Hunyuan 3D

Application Scenarios of Hunyuan 3D World Model 1.0

• Game developmentGame developers can quickly generate complete 3D scenes containing elements such as buildings, terrain, and vegetation using simple text commands or image input.
• Immersive visual space generationOrdinary users with no modeling experience can quickly generate a 360° immersive visual space with just one sentence or one image using the Hunyuan 3D creation engine.
• Digital content creationThe model supports text and image input and can quickly generate high-quality, diverse, and roamable 3D scenes, suitable for animation production, film and television special effects, and other fields.
• Physical simulation supportThe scene generated by the model supports physical simulation and can be used for embodied intelligence simulation to help robots or intelligent agents train in a virtual environment.
• Intelligent agent developmentIt supports building Multi-Agents with zero code, making it easy for beginners to get started quickly and suitable for building complex intelligent agent interaction scenarios.