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MVHOI: Bridge Multi-view Condition to Complex Human-Object Interaction Video Reenactment via 3D Foundation Model
arXiv – CS AI|Jinguang Tong, Jinbo Wu, Kaisiyuan Wang, Zhelun Shen, Xuan Huang, Mochu Xiang, Xuesong Li, Yingying Li, Haocheng Feng, Chen Zhao, Hang Zhou, Wei He, Chuong Nguyen, Jingdong Wang, Hongdong Li|
🤖AI Summary
Researchers introduce MVHOI, a new AI framework that significantly improves human-object interaction video generation by handling complex 3D manipulations through a two-stage process using 3D foundation models. The system can create realistic long-duration videos showing intricate object manipulations from multiple viewpoints, addressing limitations of existing approaches that struggle with non-planar movements.
Key Takeaways
- →MVHOI framework uses a two-stage approach combining 3D foundation models with controllable video generation for realistic human-object interaction videos.
- →The system handles complex 3D object manipulations and out-of-plane reorientations that existing methods struggle with.
- →Multi-view reference conditions enable view-consistent object rendering across different viewpoints.
- →Extensive experiments show substantial improvements over prior approaches for complex 3D object manipulations.
- →The framework can generate long-duration HOI videos with high-fidelity object textures and appearance consistency.
#ai-research#computer-vision#3d-modeling#video-generation#human-object-interaction#foundation-models#deep-learning#arxiv
Read Original →via arXiv – CS AI
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