Recent technological developments have enabled computers to identify and categorize
facial expressions to determine a person's emotional state in an image or a video. This …

Perceiving the similarity between images has been a long-standing and fundamental
problem underlying various visual generation tasks. Predominant approaches measure the …

Generative adversarial networks (GANs) have recently found applications in image editing.
However, most GAN-based image editing methods often require large-scale datasets with …

Face forgery detection is raising ever-increasing interest in computer vision since facial
manipulation technologies cause serious worries. Though recent works have reached …

Annotating a qualitative large-scale facial expression dataset is extremely difficult due to the
uncertainties caused by ambiguous facial expressions, low-quality facial images, and the …

Despite the great success of GANs in images translation with different conditioned inputs
such as semantic segmentation and edge map, generating high-fidelity images with …

Image inpainting is an underdetermined inverse problem, which naturally allows diverse
contents to fill up the missing or corrupted regions realistically. Prevalent approaches using …

Image inpainting aims to complete the missing or corrupted regions of images with realistic
contents. The prevalent approaches adopt a hybrid objective of reconstruction and …

Facial micro-expressions indicate brief and subtle facial movements that appear during
emotional communication. In comparison to macro-expressions, micro-expressions are …

In this work, we propose MagicPose, a diffusion-based model for 2D human pose and facial
expression retargeting. Specifically, given a reference image, we aim to generate a person's …