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FADRA: Frequency-Aware Diffusion with Residual Adaptation for Video Face Restoration
Jin Jiang, Jia Wang, Panwen Hu +2
Video face restoration (VFR) aims to recover high-quality and temporally consistent facial details from severely degraded video sequences; however, existing methods still struggle…
AnyCrowd: Instance-Isolated Identity-Pose Binding for Arbitrary Multi-Character Animation
Zhenyu Xie, Ji Xia, Michael Kampffmeyer +9
Controllable character animation has advanced rapidly in recent years, yet multi-character animation remains underexplored. As the number of characters grows, multi-character refer…
ProPhy: Progressive Physical Alignment for Dynamic World Simulation
Zijun Wang, Panwen Hu, Jing Wang +7
Recent advances in video generation have shown remarkable potential for constructing world simulators. However, current models still struggle to produce physically consistent resul…
LaVieID: Local Autoregressive Diffusion Transformers for Identity-Preserving Video Creation
Wenhui Song, Hanhui Li, Jiehui Huang +5
In this paper, we present LaVieID, a novel \underline{l}ocal \underline{a}utoregressive \underline{vi}d\underline{e}o diffusion framework designed to tackle the challenging \underl…
BridgeIV: Bridging Customized Image and Video Generation through Test-Time Autoregressive Identity Propagation
Panwen Hu, Jiehui Huang, Qiang Sun +1
Both zero-shot and tuning-based customized text-to-image (CT2I) generation have made significant progress for storytelling content creation. In contrast, research on customized tex…
StoryAgent: Customized Storytelling Video Generation via Multi-Agent Collaboration
Panwen Hu, Jin Jiang, Jianqi Chen +4
The advent of AI-Generated Content (AIGC) has spurred research into automated video generation to streamline conventional processes. However, automating storytelling video producti…