Free-form inpainting is the task of adding new content to an image in the regions specified
by an arbitrary binary mask. Most existing approaches train for a certain distribution of …

Blind face restoration is a highly ill-posed problem that often requires auxiliary guidance to
1) improve the mapping from degraded inputs to desired outputs, or 2) complement high …

Image inpainting has made significant advances in recent years. However, it is still
challenging to recover corrupted images with both vivid textures and reasonable structures …

Although achieving significant progress, existing deep generative inpainting methods still
show low generalization across different scenes. As a result, the generated images usually …

Generative Adversarial Networks (GANs) have been very successful for synthesizing the
images in a given dataset. The artificially generated images by GANs are very realistic. The …

Learning-based image inpainting methods have made remarkable progress in recent years.
Nevertheless, these methods still suffer from issues such as blurring, artifacts, and …

Deep image inpainting has made impressive progress with recent advances in image
generation and processing algorithms. We claim that the performance of inpainting …

Blind face restoration, which aims to reconstruct high-quality images from low-quality inputs,
can benefit many applications. Although existing generative-based methods achieve …

Image harmonization, aiming to make composite images look more realistic, is an important
and challenging task. The composite, synthesized by combining foreground from one image …

Many recent inpainting works have achieved impressive results by leveraging Deep Neural
Networks (DNNs) to model various prior information for image restoration. Unfortunately, the …