Development of computer vision algorithms using convolutional neural networks and deep
learning has necessitated ever greater amounts of annotated and labelled data to produce …

Generative Adversarial Networks (GANs) have achieved remarkable achievements in image
synthesis. These successes of GANs rely on large scale datasets, requiring too much cost …

Talking head video generation aims to animate a human face in a still image with dynamic
poses and expressions using motion information derived from a target-driving video, while …

Detecting forgery videos is highly desirable due to the abuse of deepfake. Existing detection
approaches contribute to exploring the specific artifacts in deepfake videos and fit well on …

Nerf-based Generative models have shown impressive capacity in generating high-quality
images with consistent 3D geometry. Despite successful synthesis of fake identity images …

This paper focuses on the facial micro-expression (FME) generation task, which has
potential application in enlarging digital FME datasets, thereby alleviating the lack of training …

Diffusion models have achieved great progress in image animation due to powerful
generative capabilities. However, maintaining spatio-temporal consistency with detailed …

The field of photorealistic 3D avatar reconstruction and generation has garnered significant
attention in recent years; however, animating such avatars remains challenging. Recent …

As a challenging task, text-to-image generation aims to generate photo-realistic and
semantically consistent images according to the given text descriptions. Existing methods …

With the continuous advancement of deepfake technology, there has been a surge in the
creation of realistic fake videos. Unfortunately, the malicious utilization of deepfake poses a …