17 citations · 34 across the 8 of their papers we have counts for
9 papers
Baton: Explicit Semantic Blueprints for Joint Video-Audio Generation
Shuyuan Tu, Qi Tian, Zihan Yang +9
Current open-source diffusion models struggle to generate stable and synchronized audio-visual content, particularly in scenarios demanding complex semantic reasoning. The root cau…
FlashPortrait: 6x Faster Infinite Portrait Animation with Adaptive Latent Prediction
Shuyuan Tu, Yueming Pan, Yinming Huang +6
Current diffusion-based acceleration methods for long-portrait animation struggle to ensure identity (ID) consistency. This paper presents FlashPortrait, an end-to-end video diffus…
StableAvatar: Infinite-Length Audio-Driven Avatar Video Generation
Shuyuan Tu, Yueming Pan, Yinming Huang +6
Current diffusion models for audio-driven avatar video generation struggle to synthesize long videos with natural audio synchronization and identity consistency. This paper present…
StableAnimator++: Overcoming Pose Misalignment and Face Distortion for Human Image Animation
Shuyuan Tu, Zhen Xing, Xintong Han +5
Current diffusion models for human image animation often struggle to maintain identity (ID) consistency, especially when the reference image and driving video differ significantly…
StableAnimator: High-Quality Identity-Preserving Human Image Animation
Shuyuan Tu, Zhen Xing, Xintong Han +4
Current diffusion models for human image animation struggle to ensure identity (ID) consistency. This paper presents StableAnimator, the first end-to-end ID-preserving video diffus…
MotionFollower: Editing Video Motion via Lightweight Score-Guided Diffusion
Shuyuan Tu, Qi Dai, Zihao Zhang +6
Despite impressive advancements in diffusion-based video editing models in altering video attributes, there has been limited exploration into modifying motion information while pre…
MotionEditor: Editing Video Motion via Content-Aware Diffusion
Shuyuan Tu, Qi Dai, Zhi-Qi Cheng +4
Existing diffusion-based video editing models have made gorgeous advances for editing attributes of a source video over time but struggle to manipulate the motion information while…
Multi-Prompt Alignment for Multi-Source Unsupervised Domain Adaptation
Haoran Chen, Xintong Han, Zuxuan Wu +1
Most existing methods for unsupervised domain adaptation (UDA) rely on a shared network to extract domain-invariant features. However, when facing multiple source domains, optimizi…
M2TR: Multi-modal Multi-scale Transformers for Deepfake Detection
Junke Wang, Zuxuan Wu, Wenhao Ouyang +4
The widespread dissemination of Deepfakes demands effective approaches that can detect perceptually convincing forged images. In this paper, we aim to capture the subtle manipulati…