Diffusion policy exhibits promising multimodal property and distributional expressivity in robotic field, while not ready for real-time end-to-end autonomous driving in more dynamic and open-world ...

Abstract: Diffusion models are emerging as powerful solutions for generating high-fidelity and diverse images, often surpassing GANs under many circumstances. However, their slow inference speed ...

Abstract: Diffusion models have recently gained significant attention in both academia and industry due to their impressive generative performance in terms of both sampling quality and distribution ...

We propose a One-shot Diffusion Mimicker (One-DM) for stylized handwritten text generation, which only requires a single reference sample as style input, and imitates its writing style to generate ...