24 citations · 44 across the 12 of their papers we have counts for
12 papers
FreeAvatar: Robust 3D Facial Animation Transfer by Learning an Expression Foundation Model
Feng Qiu, Wei Zhang, Chen Liu +6
Video-driven 3D facial animation transfer aims to drive avatars to reproduce the expressions of actors. Existing methods have achieved remarkable results by constraining both geome…
ICE: Interactive 3D Game Character Editing via Dialogue
Haoqian Wu, Minda Zhao, Zhipeng Hu +5
ost recent popular Role-Playing Games (RPGs) allow players to create in-game characters with hundreds of adjustable parameters, including bone positions and various makeup options.…
Zero-shot Text-driven Physically Interpretable Face Editing
Yapeng Meng, Songru Yang, Xu Hu +4
This paper proposes a novel and physically interpretable method for face editing based on arbitrary text prompts. Different from previous GAN-inversion-based face editing methods t…
Diverse 3D Hand Gesture Prediction from Body Dynamics by Bilateral Hand Disentanglement
Xingqun Qi, Chen Liu, Muyi Sun +3
Predicting natural and diverse 3D hand gestures from the upper body dynamics is a practical yet challenging task in virtual avatar creation. Previous works usually overlook the asy…
Zero-Shot Text-to-Parameter Translation for Game Character Auto-Creation
Rui Zhao, Wei Li, Zhipeng Hu +4
Recent popular Role-Playing Games (RPGs) saw the great success of character auto-creation systems. The bone-driven face model controlled by continuous parameters (like the position…
FlowFace: Semantic Flow-guided Shape-aware Face Swapping
Hao Zeng, Wei Zhang, Changjie Fan +7
In this work, we propose a semantic flow-guided two-stage framework for shape-aware face swapping, namely FlowFace. Unlike most previous methods that focus on transferring the sour…
Evidence-based Match-status-Aware Gait Recognition for Out-of-Gallery Gait Identification
Heming Du, Chen Liu, Ming Wang +3
Existing gait recognition methods typically identify individuals based on the similarity between probe and gallery samples. However, these methods often neglect the fact that the g…
Facial Action Units Detection Aided by Global-Local Expression Embedding
Zhipeng Hu, Wei Zhang, Lincheng Li +4
Since Facial Action Unit (AU) annotations require domain expertise, common AU datasets only contain a limited number of subjects. As a result, a crucial challenge for AU detection…
GaitStrip: Gait Recognition via Effective Strip-based Feature Representations and Multi-Level Framework
Ming Wang, Beibei Lin, Xianda Guo +5
Many gait recognition methods first partition the human gait into N-parts and then combine them to establish part-based feature representations. Their gait recognition performance…
Audio2Head: Audio-driven One-shot Talking-head Generation with Natural Head Motion
Suzhen Wang, Lincheng Li, Yu Ding +2
We propose an audio-driven talking-head method to generate photo-realistic talking-head videos from a single reference image. In this work, we tackle two key challenges: (i) produc…
Prior Aided Streaming Network for Multi-task Affective Recognitionat the 2nd ABAW2 Competition
Wei Zhang, Zunhu Guo, Keyu Chen +3
Automatic affective recognition has been an important research topic in human computer interaction (HCI) area. With recent development of deep learning techniques and large scale i…
Multi-label Relation Modeling in Facial Action Units Detection
Xianpeng Ji, Yu Ding, Lincheng Li +2
This paper describes an approach to the facial action units detections. The involved action units (AU) include AU1 (Inner Brow Raiser), AU2 (Outer Brow Raiser), AU4 (Brow Lowerer),…