activity
20202026
most citedRTFormer: Efficient Design for Real-Time Semantic Segmentation with Transformer

76 citations · 170 across the 24 of their papers we have counts for

collaborators

29 papers

cs.CV2026

GenHOI: Towards Object-Consistent Hand-Object Interaction with Temporally Balanced and Spatially Selective Object Injection

Xuan Huang, Mochu Xiang, Zhelun Shen +9

Hand-Object Interaction (HOI) remains a core challenge in digital human video synthesis, where models must generate physically plausible contact and preserve object identity across…

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

RnG: A Unified Transformer for Complete 3D Modeling from Partial Observations

Mochu Xiang, Zhelun Shen, Xuesong Li +7

Human perceive the 3D world through 2D observations from limited viewpoints. While recent feed-forward generalizable 3D reconstruction models excel at recovering 3D structures from…

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

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…