Seed3D 1.0 - ByteDance's 3D large model generation tool

What is Seed3D 1.0?

Seed3D 1.0, developed by ByteDance's Seed team, is a 3D model generator capable of producing high-precision 3D models from single images. It boasts high-fidelity asset generation, physics engine compatibility, and scalable scene composition capabilities. Based on the innovative Diffusion Transformer architecture and trained on large-scale data, it generates detailed geometry, realistic textures, and physically based rendering (PBR) materials. In performance evaluations, Seed3D 1.0 excels in geometry and texture generation, particularly in detail preservation and complex feature reproduction. The generated 3D models can be directly integrated into physics simulation environments for applications such as robot operation testing. Its capabilities extend from single-object generation to complete scene generation, providing robust support for embodied intelligence world simulators.

Main features of Seed3D 1.0

• High-fidelity asset generationIt can generate detailed geometry, realistic textures, and physically based rendering (PBR) materials from a single image, producing 3D models with high precision and quality.
• Physics engine compatibilityThe generated 3D model can be directly integrated into industry-standard physical simulation environments (such as Isaac Sim) for physical simulation and robot operation testing, supporting real-time physical simulation.
• Scalable scenario composition capabilitiesThrough a decompositional generation method, it can extend from the generation of a single object to the generation of a complete scene, supporting multi-scale scene generation from indoor environments to large-scale urban landscapes.
• Multi-view texture generationIt can generate consistent texture images from multiple perspectives, ensuring consistency and realism across different viewpoints, and enhancing visual effects and diversity.
• PBR material generationIt learns material decomposition directly from multi-view images to generate highly realistic PBR materials, ensuring a realistic visual effect under different lighting conditions.

The technical principles of Seed3D 1.0

• Diffusion Transformer ArchitectureIt adopts the Diffusion Transformer model architecture and is trained on large-scale data, which can efficiently generate high-quality 3D geometry and textures.
• High-precision geometry generation: Achieve high-precision construction of 3D geometry through VAE encoder and Diffusion Transformer model, generating accurate structural details and physical integrity.
• Multi-view texture generationBased on the multimodal Diffusion Transformer architecture, it generates texture images that are consistent across multiple viewpoints, ensuring consistency between different viewpoints.
• PBR material generationThe method employs an estimation framework to learn material decomposition from multi-view images, generating highly realistic PBR materials to ensure a realistic visual effect under different lighting conditions.
• Data processing and preprocessingA complete three-stage data processing pipeline was constructed to transform massive amounts of heterogeneous raw 3D data into high-quality training sets, including preprocessing steps such as data deduplication, pose correction, and category labeling.
• End-to-end generationIt achieves end-to-end generation from a single image to a simulation-level 3D model, and estimates and adjusts the scale of the model through a visual language model (VLM) to make it conform to the physical size of the real world.
• Scene generationBy adopting a step-by-step generation strategy, the generation of a single object is expanded to the generation of a complete scene. Visual language models are used to extract information on objects and spatial relationships, construct scene layout diagrams, and assemble complete scenes.

Seed3D 1.0 project address

• Project official websitehttps://seed.bytedance.com/zh/seed3d
• Technical Report: https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed3d.pdf

Application Scenarios of Seed3D 1.0

• Physical simulation and robot trainingThe generated 3D model can be directly integrated into a physical simulation environment (such as Isaac Sim) for robot operation testing and physical simulation, and supports training of large embodied intelligence models.
• Complete 3D scene generationIt can generate and expand from single objects to complete 3D scenes, including indoor environments and large-scale urban landscapes, providing scene content support for world simulators.
• Content creation and designIt provides creative designers with tools to efficiently generate high-quality 3D models, supporting the generation of detailed 3D assets from a single image and improving creative efficiency.
• Education and TrainingGenerate realistic 3D scenes and models for use in education and training, providing an immersive learning experience.
• Game developmentIt can quickly generate high-quality 3D game assets and scenes, reduce the workload of manual modeling, and accelerate the game development process.