Chunchao Guo

Interactive 3D asset generation can now be driven by functional logic and hierarchical physics, thanks to a new framework that synthesizes simulation-ready assets.

Forget photorealism: the next frontier for 3D generation is creating physically plausible, interactive environments that can train robots.

Autoregressive 3D layout generation can be both more physically plausible and significantly faster by repurposing existing 3D generative models.

Imagine creating high-fidelity, navigable 3D worlds from just a text prompt or a single image – HY-World 2.0 makes it a reality.

Generate multi-view consistent videos with precise camera control and reconstruct high-quality 3D scenes from them, all without joint training.

Diffusion Transformers get a 2x speed boost without sacrificing quality thanks to a new routing mechanism that dynamically skips computations based on input sample sparsity.