SpatialGen - Open Source 3D Scene Generation Model by Qunar Technology

What is SpatialGen?

SpatialGen is an open source 3D scene generation model based on diffusion modeling architecture, which supports generating spatio-temporally consistent multi-view images based on textual descriptions, reference images and 3D spatial layout, and further generating 3D Gaussian scenes and rendering roaming videos. The model solves the problem of spatial inconsistency that may occur between different frames of objects in the existing video generation model , to ensure that the generated images and videos are more visually and physically realistic and coherent.SpatialGen has a wide range of applications in the field of interior design , virtual reality , game development , robot simulation and film and television production and other fields.

Features of SpatialGen

• Multi-view image generation: SpatialGen generates multi-view images based on text, images and spatial layouts, ensuring that the position and shape of objects in different viewpoints are accurate and outputting high-quality images.
• 3D Gaussian Scene Generation: The model can transform multi-view images into 3D Gaussian scenes, support rendering of roaming videos to provide an immersive 3D experience, and support parametric layout customization to meet different needs.
• Spatial and temporal consistency guarantees: SpatialGen ensures that the shapes and spatial relationships of objects in the generated video are stable and coherent across multiple frames, avoiding positional shifts and enhancing visual and physical realism.
• Parametric layout controlled generation: Users can flexibly adjust the scene layout and object position to quickly generate 3D scenes and videos that meet their needs and improve creation efficiency.

SpatialGen's core strengths

• spatio-temporal consistency: The generated multi-view images are highly consistent in time and space, and the shapes and spatial relationships of objects are stable and coherent in different frames, solving the common spatial logic confusion problem of the existing video generation models.
• Realistic holographic roaming: Relying on massive indoor 3D scene data, the generated images and videos are visually highly realistic, and users are able to freely travel through the generated scenes for an immersive experience.
• Flexible viewpoint options: Supports image generation from multiple viewpoints, allowing users to select different viewpoints to view the scene as needed, providing a richer visual experience.
• Parametric layout controlled generation: Supports controllable generation based on parameterized layout, users can control the generation of scenes by adjusting parameters to meet different needs.
• Efficient data utilization: Training with massive 3D scene data from Qunar Technology ensures that the generated scenes are of high quality and realism, while improving the generalization ability of the model.
• Support 3D Gaussian scene generation: The generated multi-view images can be further transformed into 3D Gaussian scenes and rendered into roaming videos to provide a richer interactive experience for users.

What is SpatialGen's official website?

• GitHub repository:: https://github.com/manycore-research/SpatialGen
• HuggingFace Model Library:: https://huggingface.co/manycore-research/SpatialGen-1.0

Who SpatialGen is for

• interior designer: Quickly generate a variety of interior design solutions, visualize the design effect, improve design efficiency and customer communication.
• game designer: Rapidly generate 3D scenes and environments in games, accelerate the game development process, and enhance the realism and immersion of scenes.
• developers
• VR/AR Developers: Generate realistic 3D scenes for use in virtual reality and augmented reality applications to provide an immersive experience.
• Robot developers: Generate 3D scenes of homes, industrial workshops, etc. for robot training to improve the robot's adaptability and performance to the environment.
• author (of some project)
• moviemaker: Generate high-quality 3D scenes and animations to improve movie and TV production efficiency and reduce production costs.