UltraShape 1.0 3D generator now official

UltraShape 1.0 is now official as a two-stage diffusion framework for generating high-fidelity 3D shapes. It works with the use of input images and other signals with its system focusing on scalable geometric refinement.

In other words, this aims to help add surface details that many 3D generative models struggle to capture. The framework pairs its diffusion-based generator with an advanced data processing pipeline enforcing watertight meshes and filters low-quality training samples.

The combination is designed to improve both the realism and robustness of the resulting 3D geometry. Further, it makes the models easier to use in downstream applications such as graphics, AR/VR, and content creation.

Its researchers have provided a technical report for interested readers. There’s also open-source code on GitHub and an online demo showcasing side-by-side comparisons against other open 3D shape generators.