Human motion generation, a cornerstone technique in animation and video production, has
widespread applications in various tasks like text-to-motion and music-to-dance. Previous …

Contents generated by recent advanced Text-to-Image (T2I) diffusion models are sometimes
too imaginative for existing off-the-shelf dense predictors to estimate due to the immitigable …

Generative models excel at mimicking real scenes, suggesting they might inherently encode
important intrinsic scene properties. In this paper, we aim to explore the following key …

Visual In-Context Learning (ICL) has emerged as a promising research area due to its
capability to accomplish various tasks with limited example pairs through analogical …

Recent advances in image editing have been driven by the development of denoising
diffusion models, marking a significant leap forward in this field. Despite these advances, the …

We introduce a novel diffusion-based video generation method, generating a video showing
multiple events given multiple individual sentences from the user. Our method does not …

Recently, video generation has attracted massive attention and yielded noticeable
outcomes. Concerning the characteristics of video, multi-text conditioning incorporating …

Large models, encompassing large language and diffusion models, have shown
exceptional promise in approximating human-level intelligence, garnering significant …

In recent years image editing has advanced remarkably. With increased human control it is
now possible to edit an image in a plethora of ways; from specifying in text what we want to …

With the recent advancement in large language models (LLMs), there is a growing interest in
combining LLMs with multimodal learning. Previous surveys of multimodal large language …