Motion deblurring is one of the fundamental problems of computer vision and has received
continuous attention. The variability in blur, both within and across images, imposes …

Generative object compositing emerges as a promising new avenue for compositional
image editing. However the requirement of object identity preservation poses a significant …

Text-driven diffusion models have become increasingly popular for various image editing
tasks, including inpainting, stylization, and object replacement. However, it still remains an …

Snapshot compressive spectral imaging reconstruction aims to reconstruct three-
dimensional spatial-spectral images from a single-shot two-dimensional compressed …

Accelerated magnetic resonance imaging (MRI) has played an essential role in reducing
data acquisition time for MRI. Acceleration can be achieved by acquiring fewer data points in …

Fundus image quality serves a crucial asset for medical diagnosis and applications.
However, such images often suffer degradation during image acquisition where multiple …

Blind face restoration is an important task in computer vision and has gained significant
attention due to its wide-range applications. Previous works mainly exploit facial priors to …

Diffusion models trained on large-scale datasets have achieved remarkable progress in
image synthesis. However due to the randomness in the diffusion process they often …

Portrait harmonization aims to composite a subject into a new background adjusting its
lighting and color to ensure harmony with the background scene. Existing harmonization …

Diffusion models have achieved significant success in image and video generation. This
motivates a growing interest in video editing tasks, where videos are edited according to …