project
Kiss3DGen - A 3D asset generation framework based on an image diffusion model
Kiss3DGen is an innovative 3D asset generation framework that efficiently generates, edits, and enhances 3D objects by refactoring a pre-trained 2D image diffusion model. Its core function is to generate a "3D Bundle Image," which combines multi-view images and their corresponding...
What is Kiss3DGen?
Kiss3DGen is an innovative 3D asset generation framework that efficiently generates, edits, and enhances 3D objects by refactoring a pre-trained 2D image diffusion model. Its core function is to generate a "3D Bundle Image," combining multi-view images and their corresponding normal maps into a collage representation. The normal maps are used to reconstruct 3D meshes, while the multi-view images provide texture mapping. It transforms the complex 3D generation problem into a 2D image generation task, fully leveraging the knowledge of the pre-trained diffusion model, supporting various diffusion model techniques, and enabling 3D editing, meshing, and texture enhancement.
Kiss3DGen's main functions
- Text to 3D generationUsers can generate high-quality 3D models using simple text descriptions.
- Image to 3D generationThe framework can convert 2D images into 3D models, making it suitable for extending existing image content into three-dimensional space.
- Hybrid generation processUsers can combine image-to-3D and text-guided mesh editing to create complex 3D scenes.
- Combining multi-view images with normal mapsThe framework generates a "3D Bundle Image," which is a tiled representation of multi-view images and their corresponding normal maps. The normal maps are used to reconstruct the 3D mesh, and the multi-view images provide texture mapping to generate a complete 3D model.
- Supports multiple editing functionsKiss3DGen supports the generation of 3D models, is compatible with various diffusion modeling technologies, and supports 3D editing, mesh and texture enhancement functions.
- Efficient Training and ReasoningThe framework performs well with limited training data and can quickly generate high-quality 3D models.
- Multi-task generation capabilityKiss3DGen can handle multiple generation tasks simultaneously, including generating 3D models from text or images, editing existing 3D models, and improving the quality of 3D assets.
Kiss3DGen's technical principles
- Reusing 2D diffusion modelsThe core idea of Kiss3DGen is to transform the 3D generation problem into a 2D image generation problem. By fine-tuning a pre-trained 2D diffusion model (such as Stable Diffusion), the framework can leverage existing powerful 2D generation capabilities to avoid training complex 3D generation models from scratch.
- 3D Bundle ImageThe framework introduces the concept of a "3D Bundle Image," a mosaic representation composed of multi-view images and their corresponding normal maps. It can extract sufficient information from 2D images to reconstruct a complete 3D model.
- Normal map enhancementNormal maps are one of the key technologies in Kiss3DGen. By capturing the orientation information of an object's surface, they help the model reconstruct more accurate 3D geometry. The introduction of normal maps makes the conversion from 2D to 3D more efficient and accurate.
- ControlNet technologyTo achieve more precise 3D editing, Kiss3DGen incorporates ControlNet technology. Users can make local modifications to the generated 3D model using text prompts or spatial cues, enabling more flexible editing capabilities.
Kiss3DGen's project address
- Project official website:https://ltt-o.github.io/Kiss3dgen.github.io/
- Github repository:https://github.com/EnVision-Research/Kiss3DGen
- arXiv technical paper:https://arxiv.org/pdf/2503.01370
- Experience the demo online:https://huggingface.co/spaces/LTT/Kiss3DGen
Application Scenarios of Kiss3DGen
- Game developmentDevelopers can directly generate the 3D assets needed for the game, such as characters, props, and scenes, using text descriptions or image inputs.
- Film and television productionIn film and television special effects and animation production, Kiss3DGen can be used to quickly generate complex 3D scenes and character models.
- Virtual Reality (VR) and Augmented Reality (AR)Kiss3DGen generates 3D models that can be directly used in VR and AR applications. In VR scenes, users can create personalized virtual environments or objects through simple text descriptions, enhancing immersion.
- Digital twinKiss3DGen can be used to generate digital twin models, such as urban buildings and industrial equipment. Kiss3DGen can quickly build high-precision digital twin scenes, supporting applications such as smart cities and Industry 4.0.
- Education and TrainingIn the field of education, Kiss3DGen can generate 3D models for teaching purposes, such as historical artifacts and biological models, to help students understand complex concepts more intuitively.