Diffusion models have emerged as a powerful new family of deep generative models with
record-breaking performance in many applications, including image synthesis, video …

The recent wave of AI-generated content (AIGC) has witnessed substantial success in
computer vision, with the diffusion model playing a crucial role in this achievement. Due to …

With the advance of text-to-image (T2I) diffusion models (eg, Stable Diffusion) and
corresponding personalization techniques such as DreamBooth and LoRA, everyone can …

Despite tremendous progress in generating high-quality images using diffusion models,
synthesizing a sequence of animated frames that are both photorealistic and temporally …

The pursuit of controllability as a higher standard of visual content creation has yielded
remarkable progress in customizable image synthesis. However, achieving controllable …

Animating a still image offers an engaging visual experience. Traditional image animation
techniques mainly focus on animating natural scenes with stochastic dynamics (eg clouds …

Significant advancements have been achieved in the realm of large-scale pre-trained text-to-
video Diffusion Models (VDMs). However, previous methods either rely solely on pixel …

Text-guided diffusion models have revolutionized image and video generation and have
also been successfully used for optimization-based 3D object synthesis. Here we instead …

Large text-to-image diffusion models have exhibited impressive proficiency in generating
high-quality images. However, when applying these models to video domain, ensuring …

We present the content deformation field (CoDeF) as a new type of video representation
which consists of a canonical content field aggregating the static contents in the entire video …