Track manipulation, locomotion and embodied systems.
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Nankai University, Tencent HY
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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.
Achieving pose-controllable object insertion with high visual fidelity, DIRECT redefines the boundaries of 2D image synthesis by integrating 3D manipulation.
Diffusion models can now capture nuanced semantic and material details in image stylization, moving beyond simple color-driven transformations, thanks to a Mixture of Experts architecture.