We introduce GaussianAvatars a new method to create photorealistic head avatars that are
fully controllable in terms of expression pose and viewpoint. The core idea is a dynamic 3D …

Current image-based keypoint detection methods for animal (including human) bodies and
faces are generally divided into fully supervised and few-shot class-agnostic approaches …

Self-supervised pre-training has been proved to be effective in learning transferable
representations that benefit various visual tasks. This paper asks this question: can self …

At present, deep neural network methods have played a dominant role in face alignment
field. However, they generally use predefined network structures to predict landmarks, which …

As a significant step for human face modeling editing and generation face landmarking aims
at extracting facial keypoints from images. A generalizable face landmarker is required in …

The field of animal affective computing is rapidly emerging, and analysis of facial
expressions is a crucial aspect. One of the most significant challenges that researchers in …

While significant progress has been made in multi-modal learning driven by large-scale
image-text datasets, there is still a noticeable gap in the availability of such datasets within …

In this work, we introduce FaceXformer, an end-to-end unified transformer model for a
comprehensive range of facial analysis tasks such as face parsing, landmark detection …

Facial expression recognition technology has been utilized both for entertainment purposes
and as a valuable aid in rehabilitation and facial exercise assistance. This technology …

Facial expression recognition (FER) aims to analyze emotional states from static images and
dynamic sequences, which is pivotal in enhancing anthropomorphic communication among …