Chun-Chao Guo

Individual token selection and metadata caching unlock sparse attention for diffusion transformers without sacrificing generation quality, achieving up to $2.32\times$ speedups.

High-fidelity 3D texture generation is now achievable without any 3D assets, by cleverly transforming 2D images into effective training data.

Decoupling structured semantics from frame-level actions and distilling autoregressive rollouts via shared, compressed memory tokens solves the long-standing trade-off between real-time responsiveness and multi-step drift in interactive world models.

ClusterMixer reveals that a transparent, hyperbolic clustering approach can significantly outperform traditional opaque token mixers in vision tasks.

Unlock controllable 3D asset generation with HY3D-Bench, a meticulously curated and augmented dataset of 375k objects featuring part-level decomposition.

Open-source 3D asset generation just leveled up: Hunyuan3D 2.0 delivers high-resolution, textured 3D models that outperform both open and closed-source alternatives.