mlsanityData to 7 Oct 2026

AnimateLCM: Computation-Efficient Personalized Style Video Generation without Personalized Video Data

arXiv 2402.00769 ↗First posted 1 Feb 2024cs.CV cs.LGcited by 42

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Cited by 26 in Diffusion models, but placed by its own abstract, which didn’t fit.

Abstract (arXiv)

This paper introduces an effective method for computation-efficient personalized style video generation without requiring access to any personalized video data. It reduces the necessary generation time of similarly sized video diffusion models from 25 seconds to around 1 second while maintaining the same level of performance. The method's effectiveness lies in its dual-level decoupling learning approach: 1) separating the learning of video style from video generation acceleration, which allows for personalized style video generation without any personalized style video data, and 2) separating the acceleration of image generation from the acceleration of video motion generation, enhancing training efficiency and mitigating the negative effects of low-quality video data.

Key facts. Cited by 42 papers in the map (data through 7 Oct 2026). Builds on 13 of its 22 references that are in the map. First posted on arXiv 1 Feb 2024.

Builds on

13 of 22 references.

References · 13

  1. 2021Learning Transferable Visual Models From Natural Language Supervisioncited by 33,456
  2. 2021LoRA: Low-Rank Adaptation of Large Language Modelscited by 14,084
  3. 2020Denoising Diffusion Implicit Modelscited by 9,655
  4. 2022Generative Adversarial Networkscited by 5,603
  5. 2021CLIPScore: A Reference-free Evaluation Metric for Image Captioningcited by 2,388
  6. 2022DPM-Solver: A Fast ODE Solver for Diffusion Probabilistic Model Sampling in Around 10 Stepscited by 1,961
  7. 2023VBench: Comprehensive Benchmark Suite for Video Generative Modelscited by 1,755
  8. 2022Make-A-Video: Text-to-Video Generation without Text-Video Datacited by 1,725
  9. 2023AnimateDiff: Animate Your Personalized Text-to-Image Diffusion Models without Specific Tuningcited by 1,418
  10. 2018Towards Accurate Generative Models of Video: A New Metric & Challengescited by 1,204
  11. 2023Latent Consistency Models: Synthesizing High-Resolution Images with Few-Step Inferencecited by 826
  12. 2024Latte: Latent Diffusion Transformer for Video Generationcited by 536
1 more
  1. 2024Motion-I2V: Consistent and Controllable Image-to-Video Generation with Explicit Motion Modelingcited by 209

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2024: 16; 2025: 17; 2026: 9.

42 papers.

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  1. 2025Diffusion Adversarial Post-Training for One-Step Video Generationcited by 142
  2. 2025Autoregressive Adversarial Post-Training for Real-Time Interactive Video Generationcited by 84
  3. 2024Phased Consistency Modelscited by 83
  4. 2025Yume: An Interactive World Generation Modelcited by 73
  5. 2024Rectified Diffusion: Straightness Is Not Your Need in Rectified Flowcited by 59
  6. 2024Rethinking the Spatial Inconsistency in Classifier-Free Diffusion Guidancecited by 58
  7. 2024A Comprehensive Review of Multimodal Large Language Models: Performance and Challenges Across Different Taskscited by 57
  8. 2024Follow-Your-Click: Open-domain Regional Image Animation via Short Promptscited by 52
  9. 2024AnimateDiff-Lightning: Cross-Model Diffusion Distillationcited by 47
  10. 2025SeedVR2: One-Step Video Restoration via Diffusion Adversarial Post-Trainingcited by 45
  11. 2025Adversarial Distribution Matching for Diffusion Distillation Towards Efficient Image and Video Synthesiscited by 39
  12. 2024Motion Consistency Model: Accelerating Video Diffusion with Disentangled Motion-Appearance Distillationcited by 38
30 more
  1. 2025Diffusion-NPO: Negative Preference Optimization for Better Preference Aligned Generation of Diffusion Modelscited by 21
  2. 2025Dual-Expert Consistency Model for Efficient and High-Quality Video Generationcited by 21
  3. 2024Mobile Video Diffusioncited by 17
  4. 2026Flash-WAM: Modality-Aware Distillation for World Action Modelscited by 16
  5. 2024Cinemo: Consistent and Controllable Image Animation with Motion Diffusion Modelscited by 14
  6. 2025On-device Sora: Enabling Training-Free Diffusion-based Text-to-Video Generation for Mobile Devicescited by 14
  7. 2025Solving New Tasks by Adapting Internet Video Knowledgecited by 13
  8. 2024Accelerating Video Diffusion Models via Distribution Matchingcited by 10
  9. 2024Stable Consistency Tuning: Understanding and Improving Consistency Modelscited by 9
  10. 2025OmniInsert: Mask-Free Video Insertion of Any Reference via Diffusion Transformer Modelscited by 9
  11. 2024Individual Content and Motion Dynamics Preserved Pruning for Video Diffusion Modelscited by 8
  12. 2025AMD-Hummingbird: Towards an Efficient Text-to-Video Modelcited by 8
  13. 2025LLIA -- Enabling Low-Latency Interactive Avatars: Real-Time Audio-Driven Portrait Video Generation with Diffusion Modelscited by 7
  14. 2026Video Generation Models as World Models: Efficient Paradigms, Architectures and Algorithmscited by 5
  15. 2024Text-Animator: Controllable Visual Text Video Generationcited by 4
  16. 2024ViBe: A Text-to-Video Benchmark for Evaluating Hallucination in Large Multimodal Modelscited by 3
  17. 2025FlexiClip: Locality-Preserving Free-Form Character Animationcited by 3
  18. 2024RAIN: Real-time Animation of Infinite Video Streamcited by 2
  19. 2026Vidmento: Creating Video Stories Through Context-Aware Expansion With Generative Videocited by 2
  20. 2026Multi-Dimensional Quality Assessment for AI-Generated Human-Centric Videos: Dataset and Modelcited by 2
  21. 2025Self-NPO: Data-Free Diffusion Model Enhancement via Truncated Diffusion Fine-Tuningcited by 1
  22. 2025When Distillation Breaks Motion Control: Restoring Generative Trajectories for Fast Video Generatorscited by 1
  23. 2026Go-with-the-Track: Video Compositing and Motion Control with Point Trackingcited by 1
  24. 2024Generative Diffusion Modeling: A Practical Handbookcited by 0
  25. 2025On-device Sora: Enabling Training-Free Diffusion-based Text-to-Video Generation for Mobile Devicescited by 0
  26. 2025WaTeRFlow: Watermark Temporal Robustness via Flow Consistencycited by 0
  27. 2026CineMobile: On-Device Image-to-Video Diffusion for Cinematic Camera Motion Generationcited by 0
  28. 2026Reinforcement Learning: From Algorithms To Foundation Modelscited by 0
  29. 2026NoisEasier: Test-Time Noise Optimization for Text-to-Video Generationcited by 0
  30. 2026GRACE: Generation-aware latent compression for efficient video generationcited by 0

Similar, not cited

Close in wording, no citation either way

  1. 2025Time-to-Move: Training-Free Motion Controlled Video Generation via Dual-Clock Denoising
  2. 2023LaMD: Latent Motion Diffusion for Image-Conditional Video Generation
  3. 2024CustomCrafter: Customized Video Generation with Preserving Motion and Concept Composition Abilities
  4. 2023Make Pixels Dance: High-Dynamic Video Generation
  5. 2023Style-A-Video: Agile Diffusion for Arbitrary Text-based Video Style Transfer
  6. 2026DynaVid: Learning to Generate Highly Dynamic Videos using Synthetic Motion Data
  7. 2024LoopAnimate: Loopable Salient Object Animation
  8. 2023DreaMoving: A Human Video Generation Framework based on Diffusion Models