activity
20222026
most citedDelving into Sequential Patches for Deepfake Detection

21 citations · 32 across the 12 of their papers we have counts for

collaborators

12 papers

cs.CV2026

ONE-SHOT: Compositional Human-Environment Video Synthesis via Spatial-Decoupled Motion Injection and Hybrid Context Integration

Fengyuan Yang, Luying Huang, Jiazhi Guan +8

Recent advances in Video Foundation Models (VFMs) have revolutionized human-centric video synthesis, yet fine-grained and independent editing of subjects and scenes remains a criti…

cs.CV2026

InterDyad: Interactive Dyadic Speech-to-Video Generation by Querying Intermediate Visual Guidance

Dongwei Pan, Longwei Guo, Jiazhi Guan +7

Despite progress in speech-to-video synthesis, existing methods often struggle to capture cross-individual dependencies and provide fine-grained control over reactive behaviors in…

cs.CV2026

DISPLAY: Directable Human-Object Interaction Video Generation via Sparse Motion Guidance and Multi-Task Auxiliary

Jiazhi Guan, Quanwei Yang, Luying Huang +7

Human-centric video generation has advanced rapidly, yet existing methods struggle to produce controllable and physically consistent Human-Object Interaction (HOI) videos. Existing…

cs.MM2025

GestureHYDRA: Semantic Co-speech Gesture Synthesis via Hybrid Modality Diffusion Transformer and Cascaded-Synchronized Retrieval-Augmented Generation

Quanwei Yang, Luying Huang, Kaisiyuan Wang +8

While increasing attention has been paid to co-speech gesture synthesis, most previous works neglect to investigate hand gestures with explicit and essential semantics. In this pap…

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

TALK-Act: Enhance Textural-Awareness for 2D Speaking Avatar Reenactment with Diffusion Model

Jiazhi Guan, Quanwei Yang, Kaisiyuan Wang +9

Recently, 2D speaking avatars have increasingly participated in everyday scenarios due to the fast development of facial animation techniques. However, most existing works neglect…

cs.CV2024

ReSyncer: Rewiring Style-based Generator for Unified Audio-Visually Synced Facial Performer

Jiazhi Guan, Zhiliang Xu, Hang Zhou +10

Lip-syncing videos with given audio is the foundation for various applications including the creation of virtual presenters or performers. While recent studies explore high-fidelit…

cs.CV2023★ 4 cited

Building an Invisible Shield for Your Portrait against Deepfakes

Jiazhi Guan, Tianshu Hu, Hang Zhou +5

The issue of detecting deepfakes has garnered significant attention in the research community, with the goal of identifying facial manipulations for abuse prevention. Although rece…

cs.CV2023★ 1 cited

StyleSync: High-Fidelity Generalized and Personalized Lip Sync in Style-based Generator

Jiazhi Guan, Zhanwang Zhang, Hang Zhou +8

Despite recent advances in syncing lip movements with any audio waves, current methods still struggle to balance generation quality and the model's generalization ability. Previous…

cs.CV2022★ 6 cited

Detecting Deepfake by Creating Spatio-Temporal Regularity Disruption

Jiazhi Guan, Hang Zhou, Mingming Gong +3

Despite encouraging progress in deepfake detection, generalization to unseen forgery types remains a significant challenge due to the limited forgery clues explored during training…

cs.CV2022★ 21 cited

Delving into Sequential Patches for Deepfake Detection

Jiazhi Guan, Hang Zhou, Zhibin Hong +4

Recent advances in face forgery techniques produce nearly visually untraceable deepfake videos, which could be leveraged with malicious intentions. As a result, researchers have be…