Identity-Preserving Video Generation

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9 papers in the last four weeks, against 2 the four weeks before. 0.1% of all new papers.

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  1. EM-Vid: Training-Free Entity-Centric Memory for Efficient and Consistent Multi-Shot Video Generation

    May 22, 2026Jente Vandersanden, Matheus Gadelha, Chun-Hao P. Huang +2Memory-Augmented Video GenerationIdentity-Preserving Video Generation

    Max Planck Institute for Informatics, Germany and Adobe Research, UK · Adobe Research, UK · Adobe Research, USA

  2. Advancing Narrative Long Video Generation via Training-Free Identity-Aware Memory

    May 18, 2026Jinzhuo Liu, Jiangning Zhang, Wencan Jiang +5Long-Horizon Video GenerationMemory-Augmented Video Generation

    Zhejiang University · Tencent Youtu Lab · Huazhong University of Science and Technology +1

  3. Soap2Soap: Long Cinematic Video Remaking via Multi-Agent Collaboration

    May 17, 2026Yiren Song, Huilin Zhong, Kevin Qinghong Lin +2Video-Reference Video GenerationLong-Horizon Video Generation

    Show Lab, National University of Singapore · University of Oxford · Lovart AI

  4. FaithfulFaces: Pose-Faithful Facial Identity Preservation for Text-to-Video Generation

    May 6, 2026Yuanzhi Wang, Xuhua Ren, Jiaxiang Cheng +7Text-to-Video GenerationIdentity-Preserving Video Generation

    1. Nanyang Technological University · 2. Tencent Hunyuan · 3. University of Science and Technology of China +1

  5. Tri-Prompting: Video Diffusion with Unified Control over Scene, Subject, and Motion

    Mar 16, 2026Zhenghong Zhou, Xiaohang Zhan, Zhiqin Chen +8Video GenerationControllable Video Generation

    Adobe Research · University of Rochester

  6. Slot-ID: Identity-Preserving Video Generation from Reference Videos via Slot-Based Temporal Identity Encoding

    Jan 4, 2026Yixuan Lai, He Wang, Kun Zhou +1Video Diffusion ModelsText-to-Video Generation

    State Key Lab of CAD&CG Zhejiang University Hangzhou, China · Department of Computer Science University College London London, UK

  7. ContextAnyone: Context-Aware Diffusion for Character-Consistent Text-to-Video Generation

    Dec 8, 2025Ziyang Mai, Yu-Wing TaiVideo Diffusion ModelsDiffusion Transformer

    Dartmouth College

  8. Learning Zero-Shot Subject-Driven Video Generation Using 1% Compute

    Apr 23, 2025Daneul Kim, Jingxu Zhang, Wonjoon Jin +4Zero-Shot LearningVideo Diffusion Models

    1Seoul National University, Seoul, Republic of Korea · 3Microsoft Research Asia, Beijing, China · 2POSTECH, Pohang, Republic of Korea