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cs.CV2026

FlowAct-R1: Towards Interactive Humanoid Video Generation

Lizhen Wang, Yongming Zhu, Zhipeng Ge +15

Interactive humanoid video generation aims to synthesize lifelike visual agents that can engage with humans through continuous and responsive video. Despite recent advances in vide…

cs.CV2026

Towards Holistic Modeling for Video Frame Interpolation with Auto-regressive Diffusion Transformers

Xinyu Peng, Han Li, Yuyang Huang +7

Existing video frame interpolation (VFI) methods often adopt a frame-centric approach, processing videos as independent short segments (e.g., triplets), which leads to temporal inc…

cs.CV2025

Bridging Your Imagination with Audio-Video Generation via a Unified Director

Jiaxu Zhang, Tianshu Hu, Yuan Zhang +4

Existing AI-driven video creation systems typically treat script drafting and key-shot design as two disjoint tasks: the former relies on large language models, while the latter de…

cs.CV2025

ViBES: A Conversational Agent with Behaviorally-Intelligent 3D Virtual Body

Juze Zhang, Changan Chen, Xin Chen +5

Human communication is inherently multimodal and social: words, prosody, and body language jointly carry intent. Yet most prior systems model human behavior as a translation task c…

cs.CV2025

Video-As-Prompt: Unified Semantic Control for Video Generation

Yuxuan Bian, Xin Chen, Zenan Li +4

Unified, generalizable semantic control in video generation remains a critical open challenge. Existing methods either introduce artifacts by enforcing inappropriate pixel-wise pri…

cs.CV2025

Motion2Motion: Cross-topology Motion Transfer with Sparse Correspondence

Ling-Hao Chen, Yuhong Zhang, Zixin Yin +5

This work studies the challenge of transfer animations between characters whose skeletal topologies differ substantially. While many techniques have advanced retargeting techniques…