Hunyuan World Model 1.1 - Tencent Hunyuan's Open-Source 3D World Generation Model

What is Hunyuan World Model 1.1

Hunyuan World Model 1.1 (HunyuanWorld-Mirror) is an open-source 3D world generation model released by Tencent. It supports multiple input methods such as multi-view images and videos, and can output various 3D geometry prediction results including point clouds, depth maps, and camera parameters. The model adopts a pure feed-forward architecture and can be deployed on a single GPU. When processing 8-32 view inputs, local processing takes only 1 second, achieving second-level inference. The technical architecture includes multimodal prior prompts, a general geometry prediction architecture, and a curriculum learning strategy. Through a dynamic prior injection mechanism, the model can flexibly adapt to any combination of priors. During training, a curriculum learning strategy with progressive task order, data scheduling, and resolution is adopted to maximize generalization ability. Hunyuan World Model 1.1 performs excellently in 3D point cloud reconstruction and end-to-end 3DGS reconstruction, with outstanding geometric accuracy and detail restoration capabilities.

Main Features of Hunyuan World Model 1.1

• Multimodal Input Support: It can receive multiple input forms such as multi-view images and videos, providing a rich data foundation for 3D world generation.
• Unified Multi-Task Output: It can simultaneously output multiple 3D geometry prediction results such as point clouds, depth maps, camera parameters, surface normals, and 3D Gaussian points, meeting the needs of different application scenarios.
• Single-Card Deployment and Second-Level Inference: It adopts a pure feed-forward architecture and supports deployment on a single GPU. When processing 8-32 view inputs, local processing takes only 1 second, enabling efficient and fast 3D world generation.
• Flexible Prior Adaptability: Through the dynamic prior injection mechanism, the model can flexibly adapt to any combination of priors, and can even perform 3D reconstruction without prior input.
• Strong Generalization Ability: With the help of the curriculum learning strategy, the model's generalization ability outside a single image distribution is maximized, enabling it to better handle diverse input data.
• High-Precision 3D Reconstruction: It performs excellently in 3D point cloud reconstruction and end-to-end 3DGS reconstruction, with outstanding geometric accuracy and detail restoration capabilities, providing support for high-quality 3D content creation.

Technical Principles of Hunyuan World Model 1.1

• Multimodal Prior Prompts: The model supports multiple prior inputs, such as camera poses, intrinsics, and depth maps. It adopts a hierarchical encoding strategy and, through dynamic injection and random combination training, can flexibly adapt to any combination of priors or even input scenarios without priors.
• General Geometry Prediction Architecture: Based on a fully Transformer backbone network, it uses a DPT head for dense prediction, then uses Transformer layers to regress camera parameters, achieving unified multi-task output.
• Curriculum Learning Strategy: The training process progresses along three dimensions: task order, data scheduling, and progressive resolution, maximizing generalization ability outside a single image distribution.
• Pure Feed-Forward Architecture: It adopts a pure feed-forward architecture and can be deployed on a single GPU. When processing 8-32 view inputs, local processing takes only 1 second, achieving second-level inference.
• Dynamic Prior Injection Mechanism: Through the dynamic prior injection mechanism, the model can flexibly adapt to any combination of priors, improving the model's adaptability and generalization ability.

Project Address of Hunyuan World Model 1.1

• Project Website：https://3d-models.hunyuan.tencent.com/world/
• Github Repository：https://github.com/Tencent-Hunyuan/HunyuanWorld-Mirror
• Hugging Face Model Library：https://huggingface.co/tencent/HunyuanWorld-Mirror
• HuggingFace Online Demo：https://huggingface.co/spaces/tencent/HunyuanWorld-Mirror
• Technical Report：https://3d-models.hunyuan.tencent.com/world/worldMirror1_0/HYWorld_Mirror_Tech_Report.pdf

Application Scenarios of HunyuanWorld Model 1.1

• 3D Content Creation: Quickly generate professional-grade 3D scenes, suitable for game development, VR experiences, film and television production, and other fields, helping creators efficiently build virtual worlds.
• Education and Training: Create immersive 3D teaching environments to enhance the learning experience and outcomes, applicable to virtual laboratories, historical scene reconstruction, and other educational scenarios.
• Industrial Design and Simulation: Assist in product design, virtual assembly, and physical simulation, accelerating the industrial design process and improving design efficiency and quality.
• Cultural Heritage Preservation: Perform high-precision 3D reconstruction of ancient buildings, cultural relics, and more, providing support for the digital preservation and research of cultural heritage.
• Real Estate and Architecture: Generate 3D models and virtual walkthroughs of buildings, used for architectural design presentations, virtual model rooms, and more, enhancing the user experience.
• Advertising and Marketing: Create attractive 3D advertising content, such as product showcases and virtual exhibition halls, enhancing the interactivity and appeal of advertisements.