2 is a state-of-the-art large 3D generative model (4B parameters) designed for high-fidelity image-to-3D generation.
Global
Official implementation of “UniForge3D: Joint 3D Reconstruction and Generation in a Shared Anchor-Guided Space.”
MiniMax Music 3 is a high-performance music generation model for creating complete songs up to five minutes long.
A collection of resources and papers on Diffusion Models
Check out our new paper and framework improved for articulated objects
This project aim to reproduce Sora (Open AI T2V model), we wish the open source community contribute to this project.
Implementation of Denoising Diffusion Probabilistic Model in Pytorch. It is a new approach to generative modeling that may have the potential to rival GANs.
Motus2: A Self-Evolving General World Model for Dexterous Manipulation
Pretrain temporal dynamics once. Adapt with limited target data. Generate full predictive distributions in 1–4 steps.
Six bundled 11-step inputs are shown in a 3-column × 2-row grid for three seconds, then the model adds one primitive at a time until every sample reaches 144 steps. The animation is a rendering of the model's operation history, not a pixel-space interpolation.