MagicAnimate: Temporally Consistent Human Image Animation using Diffusion Model
On the map: Diffusion models → Video generation
Abstract (arXiv)
This paper studies the human image animation task, which aims to generate a video of a certain reference identity following a particular motion sequence. Existing animation works typically employ the frame-warping technique to animate the reference image towards the target motion. Despite achieving reasonable results, these approaches face challenges in maintaining temporal consistency throughout the animation due to the lack of temporal modeling and poor preservation of reference identity. In this work, we introduce MagicAnimate, a diffusion-based framework that aims at enhancing temporal consistency, preserving reference image faithfully, and improving animation fidelity. To achieve this, we first develop a video diffusion model to encode temporal information. Second, to maintain the appearance coherence across frames, we introduce a novel appearance encoder to retain the intricate details of the reference image. Leveraging these two innovations, we further employ a simple video fusion technique to encourage smooth transitions for long video animation. Empirical results demonstrate the superiority of our method over baseline approaches on two benchmarks. Notably, our approach outperforms the strongest baseline by over 38% in terms of video fidelity on the challenging TikTok dancing dataset. Code and model will be made available.
Key facts. Cited by 330 papers in the map (data through 7 Oct 2026). Placed in Video generation, one of 14 directions in Diffusion models. Builds on 45 of its 60 references that are in the map. First posted on arXiv 27 Nov 2023.
Builds on
45 of 60 references.
Closest ancestors · 4
Same direction, newest first
- 2023AnimateDiff: Animate Your Personalized Text-to-Image Diffusion Models without Specific Tuning10 Jul
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- 2022Tune-A-Video: One-Shot Tuning of Image Diffusion Models for Text-to-Video Generation22 Dec
- 2022MagicVideo: Efficient Video Generation With Latent Diffusion Models20 Nov
Other references · 41
- 2021Learning Transferable Visual Models From Natural Language Supervisioncited by 33,456
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- 2018The Unreasonable Effectiveness of Deep Features as a Perceptual Metriccited by 11,029
- 2020Denoising Diffusion Implicit Modelscited by 9,655
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- 2021LAION-400M: Open Dataset of CLIP-Filtered 400 Million Image-Text Pairscited by 1,544
- 2023IP-Adapter: Text Compatible Image Prompt Adapter for Text-to-Image Diffusion Modelscited by 1,439
- 2018Towards Accurate Generative Models of Video: A New Metric & Challengescited by 1,204
- 2021Frozen in Time: A Joint Video and Image Encoder for End-to-End Retrievalcited by 1,175
- 2016Realtime Multi-Person 2D Pose Estimation using Part Affinity Fieldscited by 1,061
- 2023MasaCtrl: Tuning-Free Mutual Self-Attention Control for Consistent Image Synthesis and Editingcited by 722
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- 2018DensePose: Dense Human Pose Estimation In The Wildcited by 573
- 2017MoCoGAN: Decomposing Motion and Content for Video Generationcited by 523
- 2020One-Shot Free-View Neural Talking-Head Synthesis for Video Conferencingcited by 438
- 2019FSGAN: Subject Agnostic Face Swapping and Reenactmentcited by 319
- 2018Everybody Dance Nowcited by 313
- 2023Follow Your Pose: Pose-Guided Text-to-Video Generation using Pose-Free Videoscited by 312
- 2023Effective Whole-body Pose Estimation with Two-stages Distillationcited by 307
- 2019Few-Shot Adversarial Learning of Realistic Neural Talking Head Modelscited by 284
- 2021Motion Representations for Articulated Animationcited by 253
- 2022Thin-Plate Spline Motion Model for Image Animationcited by 209
- 2018Animating Arbitrary Objects via Deep Motion Transfercited by 206
- 2021PIRenderer: Controllable Portrait Image Generation via Semantic Neural Renderingcited by 202
- 2022Generating Videos with Dynamics-aware Implicit Generative Adversarial Networkscited by 186
- 2022Latent Image Animator: Learning to Animate Images via Latent Space Navigationcited by 172
- 2023DreamPose: Fashion Image-to-Video Synthesis via Stable Diffusioncited by 167
- 2020Fast Bi-layer Neural Synthesis of One-Shot Realistic Head Avatarscited by 116
- 2022EVA3D: Compositional 3D Human Generation from 2D Image Collectionscited by 111
- 2021Modeling Clothing as a Separate Layer for an Animatable Human Avatarcited by 66
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- 20193D Guided Fine-Grained Face Manipulationcited by 45
- 2022Implicit Warping for Animation with Image Setscited by 45
- 2023LEO: Generative Latent Image Animator for Human Video Synthesiscited by 40
- 2023OmniAvatar: Geometry-Guided Controllable 3D Head Synthesiscited by 34
- 2019Make a Face: Towards Arbitrary High Fidelity Face Manipulationcited by 29
- 2022PV3D: A 3D Generative Model for Portrait Video Generationcited by 23
- 2023Unsupervised Volumetric Animationcited by 18
- 2023MagicAvatar: Multimodal Avatar Generation and Animationcited by 17
- 2023XAGen: 3D Expressive Human Avatars Generationcited by 17
Built on by
Citing papers per year: 2023: 3; 2024: 111; 2025: 146; 2026: 70.
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