activity
20242026
most citedAVI-Talking: Learning Audio-Visual Instructions for Expressive 3D Talking Face Generation

1 citations · 1 across the 12 of their papers we have counts for

collaborators

13 papers

cs.MM2026

Encore: Infinite Audio-Video Generation with Adaptive Signal Routing

Shaohua Pan, Junbao Chen, Shengyi He +8

Existing audio-video generation methods produce well-synchronized clips but are limited to short durations, while long-video generation methods extend duration through chunk-based…

cs.CV2026

READ More than What You See: Reinforcement Learning for Accurate and Coherent Audio Description Generations

Bo Fang, Xinyao Zhang, Yuxin Song +3

Audio Description aims to generate concise narrations of essential visual content in audio-visual media for blind and low-vision audiences. Existing methods either rely on promptin…

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

SAMA: Factorized Semantic Anchoring and Motion Alignment for Instruction-Guided Video Editing

Xinyao Zhang, Wenkai Dong, Yuxin Song +10

Current instruction-guided video editing models struggle to simultaneously balance precise semantic modifications with faithful motion preservation. While existing approaches rely…

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.CV2026

RefAlign: Representation Alignment for Reference-to-Video Generation

Lei Wang, YuXin Song, Ge Wu +5

Reference-to-video (R2V) generation is a controllable video synthesis paradigm that constrains the generation process using both text prompts and reference images, enabling applica…

cs.CV2026

MVHOI: Bridge Multi-view Condition to Complex Human-Object Interaction Video Reenactment via 3D Foundation Model

Jinguang Tong, Jinbo Wu, Kaisiyuan Wang +12

Human-Object Interaction (HOI) video reenactment aims to transfer the interaction dynamics of a source video to a novel target object while preserving realistic hand-object coordin…

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.GR2025

iDiT-HOI: Inpainting-based Hand Object Interaction Reenactment via Video Diffusion Transformer

Zhelun Shen, Chenming Wu, Junsheng Zhou +7

Digital human video generation is gaining traction in fields like education and e-commerce, driven by advancements in head-body animation and lip-syncing technologies. However, rea…

cs.CV2025

Re-HOLD: Video Hand Object Interaction Reenactment via adaptive Layout-instructed Diffusion Model

Yingying Fan, Quanwei Yang, Kaisiyuan Wang +6

Current digital human studies focusing on lip-syncing and body movement are no longer sufficient to meet the growing industrial demand, while human video generation techniques that…

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…