5 citations · 9 across the 6 of their papers we have counts for
7 papers
DiTaiListener: Controllable High Fidelity Listener Video Generation with Diffusion
Maksim Siniukov, Di Chang, Minh Tran +3
Generating naturalistic and nuanced listener motions for extended interactions remains an open problem. Existing methods often rely on low-dimensional motion codes for facial behav…
MagicPose4D: Crafting Articulated Models with Appearance and Motion Control
Hao Zhang, Di Chang, Fang Li +2
With the success of 2D and 3D visual generative models, there is growing interest in generating 4D content. Existing methods primarily rely on text prompts to produce 4D content, b…
Dyadic Interaction Modeling for Social Behavior Generation
Minh Tran, Di Chang, Maksim Siniukov +1
Human-human communication is like a delicate dance where listeners and speakers concurrently interact to maintain conversational dynamics. Hence, an effective model for generating…
MagicPose: Realistic Human Poses and Facial Expressions Retargeting with Identity-aware Diffusion
Di Chang, Yichun Shi, Quankai Gao +7
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'…
LibreFace: An Open-Source Toolkit for Deep Facial Expression Analysis
Di Chang, Yufeng Yin, Zongjian Li +2
Facial expression analysis is an important tool for human-computer interaction. In this paper, we introduce LibreFace, an open-source toolkit for facial expression analysis. This o…
FG-Net: Facial Action Unit Detection with Generalizable Pyramidal Features
Yufeng Yin, Di Chang, Guoxian Song +5
Automatic detection of facial Action Units (AUs) allows for objective facial expression analysis. Due to the high cost of AU labeling and the limited size of existing benchmarks, p…
Multi-modal Facial Action Unit Detection with Large Pre-trained Models for the 5th Competition on Affective Behavior Analysis in-the-wild
Yufeng Yin, Minh Tran, Di Chang +2
Facial action unit detection has emerged as an important task within facial expression analysis, aimed at detecting specific pre-defined, objective facial expressions, such as lip…