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

What is the Hunyuan World Model 1.1?

HunyuanWorld-Mirror 1.1 is an open-source 3D world generation model released by Tencent. It supports multiple input methods, including multi-view images and videos, and can output various 3D geometric prediction results such as point clouds, depth maps, and camera parameters. The model adopts a pure feedforward architecture, can be deployed on a single GPU, and achieves second-level inference by processing 8-32 view inputs locally. Its technical architecture includes multimodal prior hints, a general geometric 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 based on task order, data scheduling, and progressive resolution is employed to maximize generalization ability. HunyuanWorld-Mirror 1.1 performs excellently in 3D point cloud reconstruction and end-to-end 3DGS reconstruction, demonstrating outstanding geometric accuracy and detail restoration capabilities.

Main functions of the Hunyuan World Model 1.1

• Multimodal input supportIt can receive various input formats such as multi-view images and videos, providing a rich data foundation for the generation of 3D worlds.
• Unified output for multiple tasksIt can simultaneously output multiple 3D geometric prediction results such as point cloud, depth map, camera parameters, surface normal and 3D Gaussian points to meet the needs of different application scenarios.
• Single-card deployment and second-level inferenceIt adopts a pure feedforward architecture, supports deployment on a single graphics card, and processes 8-32 view inputs locally in just 1 second, achieving efficient and fast 3D world generation.
• Flexible prior adaptabilityThrough a 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 abilityBy leveraging the course learning strategy, the model's generalization ability beyond a single image distribution is maximized, enabling it to better handle diverse input data.
• High-precision 3D reconstructionIt performs exceptionally well in 3D point cloud reconstruction and end-to-end 3DGS reconstruction, with outstanding geometric accuracy and detail reproduction capabilities, providing support for high-quality 3D content creation.

Technical Principles of the Hunyuan World Model 1.1

• Multimodal prior hintsThe model supports multiple prior inputs, such as camera pose, intrinsic parameters, and depth maps. It adopts a hierarchical encoding strategy and can flexibly adapt to any prior combination or even input scenarios without prior information through dynamic injection and random combination training.
• General Geometric Prediction ArchitectureBased on a full Transformer backbone network, a DPT head is used for dense prediction, and then a Transformer layer is used to regress camera parameters to achieve unified output for multiple tasks.
• Course learning strategiesThe training process is progressively divided into three dimensions: task order, data scheduling, and resolution progressively, to maximize the generalization ability beyond a single image distribution.
• Pure feedforward architectureIt adopts a pure feedforward architecture, which can be deployed on a single graphics card. When processing 8-32 view inputs, the local time is only 1 second, achieving second-level inference.
• Dynamic prior injection mechanismThrough a dynamic prior injection mechanism, the model can flexibly adapt to any combination of priors, improving the model's adaptability and generalization ability.

Project address for Hunyuan World Model 1.1

• Project official website: https://3d-models.hunyuan.tencent.com/world/
• Github repositoryhttps://github.com/Tencent-Hunyuan/HunyuanWorld-Mirror
• Hugging Face Model Libraryhttps://huggingface.co/tencent/HunyuanWorld-Mirror
• HuggingFace online demohttps://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 the Hunyuan World Model 1.1

• 3D content creationIt can quickly generate professional-grade 3D scenes, suitable for game development, VR experience, film and television production and other fields, helping creators to efficiently build virtual worlds.
• Education and TrainingIt creates an immersive 3D teaching environment, enhancing the learning experience and effectiveness. It can be used in educational scenarios such as virtual laboratories and historical scene recreation.
• Industrial Design and SimulationIt assists in product design, virtual assembly, and physical simulation, accelerating the industrial design process and improving design efficiency and quality.
• Cultural heritage protectionIt enables high-precision 3D reconstruction of ancient buildings and cultural relics, providing support for the digital protection and research of cultural heritage.
• Real Estate and ConstructionGenerate 3D models and virtual walkthroughs of buildings for use in architectural design showcases, virtual showrooms, and more, enhancing the user experience.
• Advertising and MarketingCreate engaging 3D advertising content, such as product demonstrations and virtual showrooms, to enhance the interactivity and appeal of your ads.