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Hunyuan3D-1.0 - A 3D generative model launched by Tencent, supporting both text-based and image-based 3D.

Hunyuan3D-1.0 is a 3D generative model launched by Tencent. It supports both text and image input and generates high-quality 3D assets. The model employs a two-stage approach, first using a multi-view diffusion model to generate multi-view RGB...

What is Hunyuan3D-1.0?

Hunyuan3D-1.0 is a 3D generative model launched by Tencent. It supports both text and image input and generates high-quality 3D assets. The model employs a two-stage approach: first, it generates multi-view RGB images using a multi-view diffusion model; then, it uses a Transformer-based sparse-view large-scale reconstruction model to convert these images into 3D assets. Hunyuan3D-1.0 includes a lightweight version and a standard version. The lightweight version offers faster generation speeds and is suitable for rapid 3D modeling, while the standard version generates higher-quality 3D models.

Main functions of Hunyuan3D-1.0

  • Text to 3D generationHunyuan3D-1.0 supports generating 3D assets based on text prompts. Users can input text descriptions, and the system can generate corresponding 3D models.
  • Image to 3D generationThe model can generate 3D models from one or more images, and supports users to guide the 3D generation process through images.
  • Two-stage generation methodThe model employs a two-stage approach for 3D generation. The first stage is a multi-view diffusion model that generates multi-view RGB images in approximately 4 seconds. The second stage is a Transformer-based sparse-view large-scale reconstruction model that reconstructs 3D assets in approximately 7 seconds.
  • High-quality 3D asset generationHunyuan3D-1.0 can generate high-quality, diverse 3D assets, including complex structures and details.
  • Quick generationCompared to other models, Hunyuan3D-1.0 has a significant improvement in generation speed, reducing the time spent on 3D asset production.

Technical Principles of Hunyuan3D-1.0

  • Multi-view diffusion modelIn the first stage, Hunyuan3D-1.0 uses a multi-view diffusion model to synthesize six new view images under a fixed camera viewpoint, capturing rich details of 3D assets from different perspectives, transforming the 3D generation task from single-view reconstruction to a less difficult multi-view reconstruction task.
  • Multi-view reconstruction modelIn the second stage, the generated multi-view images are input into a Transformer-based sparse-view large-scale reconstruction model. Based on the multi-view images generated in the previous stage, the reconstruction model learns to handle noise and inconsistencies introduced by multi-view diffusion, and efficiently recovers the 3D structure using the available information in the conditional images.
  • Adaptive CFG (classifier-free guidance)In the first stage of multi-view generation, the model adopts adaptive CFG, setting different CFG scale values for different viewpoints and time steps to balance generation control and diversity.
  • Hybrid Input TechnologyIn the second stage of multi-view reconstruction, the model combines calibrated (generated multi-view images) and uncalibrated (user input) mixed inputs, and integrates conditional image information through a dedicated view-independent branch to improve the accuracy of invisible parts in the generated image.
  • High-resolution feature representationHunyuan3D-1.0 upsamples the resolution of the feature plane from 64 to 256 using linear layers, making the feature representation more delicate and generating objects with richer details.
  • Signed distance function (SDF)The model uses an implicit representation of SDF and obtains the signed distance by sampling and querying in three-dimensional space through the Marching cube algorithm to output a 3D mesh, which can be directly combined with the 3D pipeline.

Hunyuan3D-1.0 project address

Application Scenarios of Hunyuan3D-1.0

  • 3D Creation and Game DevelopmentHunyuan3D-1.0 can help 3D creators and artists automate the production of 3D assets, supporting the generation of 3D models from text descriptions or images, and is suitable for character, scene and prop design in game development.
  • Industrial DesignIn the field of industrial design, Hunyuan3D-1.0 can be used to create 3D models of various products, making it convenient for designers to design and modify them.
  • Architectural DesignHunyuan3D-1.0 can display architectural renderings, bird's-eye views, etc., to help designers and clients communicate and confirm.
  • Interior DesignWith Hunyuan3D-1.0, designers can create renderings, refine plans, and visually showcase design solutions.
  • Product DesignHunyuan3D-1.0 can be used to create product structures and product display effects, helping designers to conduct more intuitive presentations and evaluations during the product design process.
  • Engineering DesignIn engineering design, Hunyuan3D-1.0 can be used to design new equipment, vehicles, structures, etc., providing engineers with intuitive 3D model support.
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