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20212025
most citedPose-Controllable Talking Face Generation by Implicitly Modularized Audio-Visual Representation

24 citations · 37 across the 7 of their papers we have counts for

collaborators

7 papers

cs.CV2025

AudCast: Audio-Driven Human Video Generation by Cascaded Diffusion Transformers

Jiazhi Guan, Kaisiyuan Wang, Zhiliang Xu +12

Despite the recent progress of audio-driven video generation, existing methods mostly focus on driving facial movements, leading to non-coherent head and body dynamics. Moving forw…

cs.CV2025

Cosh-DiT: Co-Speech Gesture Video Synthesis via Hybrid Audio-Visual Diffusion Transformers

Yasheng Sun, Zhiliang Xu, Hang Zhou +9

Co-speech gesture video synthesis is a challenging task that requires both probabilistic modeling of human gestures and the synthesis of realistic images that align with the rhythm…

cs.CV2024★ 1 cited

AVI-Talking: Learning Audio-Visual Instructions for Expressive 3D Talking Face Generation

Yasheng Sun, Wenqing Chu, Hang Zhou +2

While considerable progress has been made in achieving accurate lip synchronization for 3D speech-driven talking face generation, the task of incorporating expressive facial detail…

cs.CV2023★ 10 cited

ImageBrush: Learning Visual In-Context Instructions for Exemplar-Based Image Manipulation

Yasheng Sun, Yifan Yang, Houwen Peng +5

While language-guided image manipulation has made remarkable progress, the challenge of how to instruct the manipulation process faithfully reflecting human intentions persists. An…

cs.CV2023★ 2 cited

Make Your Brief Stroke Real and Stereoscopic: 3D-Aware Simplified Sketch to Portrait Generation

Yasheng Sun, Qianyi Wu, Hang Zhou +6

Creating the photo-realistic version of people sketched portraits is useful to various entertainment purposes. Existing studies only generate portraits in the 2D plane with fixed v…

cs.CV2022

Masked Lip-Sync Prediction by Audio-Visual Contextual Exploitation in Transformers

Yasheng Sun, Hang Zhou, Kaisiyuan Wang +7

Previous studies have explored generating accurately lip-synced talking faces for arbitrary targets given audio conditions. However, most of them deform or generate the whole facia…

cs.CV2021★ 24 cited

Pose-Controllable Talking Face Generation by Implicitly Modularized Audio-Visual Representation

Hang Zhou, Yasheng Sun, Wayne Wu +3

While accurate lip synchronization has been achieved for arbitrary-subject audio-driven talking face generation, the problem of how to efficiently drive the head pose remains. Prev…