ByteDance Unveils “Seed3D 1.0”: Single Image To Extreme-Fidelity 3D Model Expertise

ByteDance’s Seed workforce proper now launched the large-scale 3D period model Seed3D 1.0, capable of producing high-quality, physically-rendered 3D fashions from a single image.

The model makes use of an fashionable Diffusion Transformer construction and is expert on giant datasets to generate full 3D geometry, smart textures, and PBR (bodily based rendering) provides. In keeping with the official introduction, objects created with Seed3D 1.0 is perhaps seamlessly imported into simulation engines much like Isaac Sim, requiring little adaptation sooner than being utilized in embodied intelligence model teaching.

By the use of effectivity, the Seed workforce claims that the model’s texture-and-material period capabilities outperform every open- and closed-source choices, and that its geometry period exceeds that of commerce fashions with greater parameter counts—significantly, the 1.5 billion-parameter Seed3D 1.0 outperformed a 3 billion-parameter competitor (Hunyuan3D-2.1).

Furthermore, Seed3D 1.0 helps stepwise scene period: after inputting one object image, the system can broaden to a full 3D scene—first extracting objects and spatial relations by means of a vision-language model, then producing each object’s 3D model, and finally assembling them into an entire ambiance (from office areas to metropolis street scenes).

With the launch of Seed3D 1.0, ByteDance advances previous regular image and textual content material period fashions into refined 3D content material materials creation, enabling use-cases in simulation, robotics, gaming and industrial virtualisation. By supporting full scenes and high-fidelity texture/geometry period, the model positions ByteDance in opponents with totally different worldwide generative-AI efforts for 3D modeling.