Hunyuan World Model 1.1 – Tencent Hunyuan’s open-source 3D world generation model

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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 types such as multi-view images and videos and can output various 3D geometric prediction results including point clouds, depth maps, and camera parameters. Built with a pure feed-forward architecture, the model can be deployed on a single GPU, achieving second-level inference—processing 8–32 view inputs in just one second locally.

Its technical framework integrates multimodal prior prompting, a unified 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, it employs a curriculum learning strategy across task order, data scheduling, and resolution progression to maximize generalization. Hunyuan World Model 1.1 demonstrates outstanding performance in 3D point cloud reconstruction and end-to-end 3D Gaussian Splatting (3DGS) reconstruction, achieving exceptional geometric precision and detail restoration.

Hunyuan World Model 1.1 – Tencent Hunyuan’s open-source 3D world generation model


Main Features of Hunyuan World Model 1.1

  • Multimodal Input Support
    Accepts multiple input types, such as multi-view images and videos, providing a rich data foundation for 3D world generation.

  • Unified Multi-Task Output
    Outputs point clouds, depth maps, camera parameters, surface normals, and 3D Gaussian points simultaneously, supporting diverse application needs.

  • Single-GPU Deployment with Second-Level Inference
    The pure feed-forward architecture enables deployment on a single GPU. When processing 8–32 view inputs, inference takes only one second locally, ensuring efficient and fast 3D world generation.

  • Flexible Prior Adaptation
    With a dynamic prior injection mechanism, the model can flexibly adapt to any combination of priors—or even perform 3D reconstruction without any prior input.

  • Strong Generalization Ability
    The curriculum learning strategy maximizes the model’s ability to generalize beyond a single image distribution, enabling it to handle diverse input data effectively.

  • High-Precision 3D Reconstruction
    Excels in both 3D point cloud and end-to-end 3DGS reconstruction, offering superior geometric accuracy and detail restoration—ideal for high-quality 3D content creation.


Technical Principles

  • Multimodal Prior Prompting
    Supports various prior inputs such as camera poses, intrinsic parameters, and depth maps. Uses a layered encoding strategy with dynamic injection and random combination training to adapt to any prior configuration—even no prior input.

  • Universal Geometry Prediction Architecture
    Built on a fully Transformer-based backbone, it employs a DPT head for dense prediction and Transformer layers to regress camera parameters, achieving unified multi-task outputs.

  • Curriculum Learning Strategy
    Training progresses along three dimensions—task sequencing, data scheduling, and resolution progression—to maximize generalization beyond single image distributions.

  • Pure Feed-Forward Architecture
    The model’s architecture enables fast, efficient deployment and second-level inference on a single GPU.

  • Dynamic Prior Injection Mechanism
    Allows flexible adaptation to arbitrary prior combinations, enhancing both adaptability and generalization.


Project Links


Application Scenarios

  • 3D Content Creation
    Quickly generate professional-grade 3D scenes for game development, VR experiences, and film production, enabling efficient virtual world construction.

  • Education and Training
    Create immersive 3D learning environments for virtual labs, historical reconstructions, and interactive education.

  • Industrial Design and Simulation
    Support product design, virtual assembly, and physical simulations—accelerating industrial workflows and improving design quality.

  • Cultural Heritage Preservation
    Reconstruct historical architecture and artifacts in 3D with high precision to aid digital preservation and research.

  • Real Estate and Architecture
    Generate 3D building models and virtual tours for architectural visualization and virtual showrooms, enhancing user experience.

  • Advertising and Marketing
    Create engaging 3D ads, product displays, and virtual exhibitions to boost interactivity and audience engagement.

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