Face inpainting is important in various applications, such as photo restoration, image
editing, and virtual reality. Despite the significant advances in face generative models …

Image inpainting is widely used to fill the damaged or masked area in an image with realistic
visual contents. However, most existing inpainting methods have limitations in …

Target occlusion or pollution has always been a common and difficult problem in 3D
reconstruction, seriously affecting the reconstruction effect, especially in single image …

Image fusion has achieved significant success, owing to the rapid development of digital
computing and Generative Adversarial Networks (GANs). GAN-based fusion techniques …

Synthetic generation of post-surgical outcomes holds significant value in the clinical domain,
particularly for Cleft lip and Palate surgery. These synthetic images can be utilized for …

Current face recognition (FR) algorithms frequently encounter discrimination issues in terms
of various attributes (eg, gender, age) due to the biased demographic distribution of the …

Existing facial editing methods have achieved remarkable results, yet they often fall short in
supporting multimodal conditional local facial editing. One of the significant evidences is that …

The objective of image inpainting is refilling the masked area with semantically appropriate
pixels and producing visually realistic images as an output. After the introduction of …

Depth information has been successfully used in many computer vision applications, but
depth imaging sensors frequently provide missing values, mainly around objects …

Wearing a face mask is one of the adjustments we had to follow to reduce the spread of the
coronavirus. Having our faces covered by masks constantly has driven the need to …