Seed3D 2.0: Advancing High-Fidelity Simulation-Ready 3D Content Generation

TL;DR

Seed3D 2.0 significantly enhances 3D content generation by improving fidelity, simulation readiness, and application scope through advanced geometry, material, and scene modeling techniques.

Contribution

It introduces a novel multi-stage pipeline, unified material generation, and a simulation-ready model suite, advancing the state-of-the-art in high-fidelity 3D content creation.

Findings

Achieved 69.0% to 89.9% win rates in user preference studies.

Improved geometry and material quality over previous models.

Enabled coherent scene construction with part-aware physical interactions.

Abstract

We present Seed3D 2.0, an advanced 3D content generation system built on Seed3D 1.0, with substantial improvements across generation fidelity, simulation-ready capabilities, and application coverage. For geometry, a coarse-to-fine two-stage pipeline decouples global structure learning from high-frequency detail recovery, while a locality-aware VAE achieves higher spatial compression and more efficient decoding. For texture and material generation, we replace the cascaded pipeline of Seed3D 1.0 with a unified PBR model that directly generates multi-view albedo and metallic-roughness maps, enhanced by Mixture-of-Experts scaling and VLM-based semantic conditioning for improved material precision and visual fidelity. Beyond single-object generation, Seed3D 2.0 introduces a simulation-ready model suite comprising scene layout planning, part-aware decomposition, and training-free articulation generation, enabling coherent scene construction and part-level physical interaction across physics and graphics engines. A large-scale human preference study against five recent commercial models shows that Seed3D 2.0 achieves consistent win rates of 69.0% to 89.9% in textured 3D asset generation. Seed3D 2.0 is available on https://exp.volcengine.com/ark/vision?_vtm_=0.0.c70961.d701978.0&mode=vision&modelId=doubao-seed3d-2-0-260328&tab=Gen3D