25 citations · 74 across the 12 of their papers we have counts for
12 papers
PA-HOI: A Physics-Aware Human and Object Interaction Dataset
Ruiyan Wang, Lin Zuo, Zonghao Lin +5
The Human-Object Interaction (HOI) task explores the dynamic interactions between humans and objects in physical environments, providing essential biomechanical and cognitive-behav…
PoseTalk: Text-and-Audio-based Pose Control and Motion Refinement for One-Shot Talking Head Generation
Jun Ling, Yiwen Wang, Han Xue +2
While previous audio-driven talking head generation (THG) methods generate head poses from driving audio, the generated poses or lips cannot match the audio well or are not editabl…
Context-Aware Talking-Head Video Editing
Songlin Yang, Wei Wang, Jun Ling +3
Talking-head video editing aims to efficiently insert, delete, and substitute the word of a pre-recorded video through a text transcript editor. The key challenge for this task is…
360-Degree Panorama Generation from Few Unregistered NFoV Images
Jionghao Wang, Ziyu Chen, Jun Ling +2
360 panoramas are extensively utilized as environmental light sources in computer graphics. However, capturing a 360 180 panorama poses challenges…
Learning Dense UV Completion for Human Mesh Recovery
Yanjun Wang, Qingping Sun, Wenjia Wang +4
Human mesh reconstruction from a single image is challenging in the presence of occlusion, which can be caused by self, objects, or other humans. Existing methods either fail to se…
VAST: Vivify Your Talking Avatar via Zero-Shot Expressive Facial Style Transfer
Liyang Chen, Zhiyong Wu, Runnan Li +4
Current talking face generation methods mainly focus on speech-lip synchronization. However, insufficient investigation on the facial talking style leads to a lifeless and monotono…
Memories are One-to-Many Mapping Alleviators in Talking Face Generation
Anni Tang, Tianyu He, Xu Tan +2
Talking face generation aims at generating photo-realistic video portraits of a target person driven by input audio. Due to its nature of one-to-many mapping from the input audio t…
StableFace: Analyzing and Improving Motion Stability for Talking Face Generation
Jun Ling, Xu Tan, Liyang Chen +4
While previous speech-driven talking face generation methods have made significant progress in improving the visual quality and lip-sync quality of the synthesized videos, they pay…
Generative Compression for Face Video: A Hybrid Scheme
Anni Tang, Yan Huang, Jun Ling +4
As the latest video coding standard, versatile video coding (VVC) has shown its ability in retaining pixel quality. To excavate more compression potential for video conference scen…
Transformer-S2A: Robust and Efficient Speech-to-Animation
Liyang Chen, Zhiyong Wu, Jun Ling +3
We propose a novel robust and efficient Speech-to-Animation (S2A) approach for synchronized facial animation generation in human-computer interaction. Compared with conventional ap…
Region-aware Adaptive Instance Normalization for Image Harmonization
Jun Ling, Han Xue, Li Song +2
Image composition plays a common but important role in photo editing. To acquire photo-realistic composite images, one must adjust the appearance and visual style of the foreground…
Toward Fine-grained Facial Expression Manipulation
Jun Ling, Han Xue, Li Song +3
Facial expression manipulation aims at editing facial expression with a given condition. Previous methods edit an input image under the guidance of a discrete emotion label or abso…