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 …

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

We present a novel approach to leverage prior knowledge encapsulated in pre-trained text-
to-image diffusion models for blind super-resolution. Specifically, by employing our time …

Video-P2P is the first framework for real-world video editing with cross-attention control.
While attention control has proven effective for image editing with pre-trained image …

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 …

The generative AI revolution has recently expanded to videos. Nevertheless, current state-of-
the-art video models are still lagging behind image models in terms of visual quality and …

Character Animation aims to generating character videos from still images through driving
signals. Currently diffusion models have become the mainstream in visual generation …

Text-driven diffusion models have unlocked unprecedented abilities in image generation,
whereas their video counterpart still lags behind due to the excessive training cost of …