https://github.com/wangqiang9/awesome-controllable-video-diffusion
Awesome Controllable Video Generation with Diffusion Models
https://github.com/wangqiang9/awesome-controllable-video-diffusion
List: awesome-controllable-video-diffusion
awesome controllable-generation diffusion diffusion-model diffusion-models video-generation
Last synced: about 1 month ago
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Awesome Controllable Video Generation with Diffusion Models
- Host: GitHub
- URL: https://github.com/wangqiang9/awesome-controllable-video-diffusion
- Owner: wangqiang9
- License: mit
- Created: 2024-08-27T02:29:22.000Z (6 months ago)
- Default Branch: main
- Last Pushed: 2025-01-10T06:52:46.000Z (about 1 month ago)
- Last Synced: 2025-01-10T07:47:54.904Z (about 1 month ago)
- Topics: awesome, controllable-generation, diffusion, diffusion-model, diffusion-models, video-generation
- Homepage:
- Size: 106 KB
- Stars: 14
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
- ultimate-awesome - awesome-controllable-video-diffusion - Awesome Controllable Video Generation with Diffusion Models. (Other Lists / Julia Lists)
README
# Awesome-Controllable-Video-Diffusion
[](https://github.com/hee9joon/Awesome-Diffusion-Models)
[](https://opensource.org/licenses/MIT)
Awesome Controllable Video Generation with Diffusion Models.
## Table of Contents
- [Pose Control](https://github.com/wangqiang9/Awesome-Controllable-Video-Diffusion#pose-control)
- [Audio Control](https://github.com/wangqiang9/Awesome-Controllable-Video-Diffusion#audio-control)
- [Universal Control](https://github.com/wangqiang9/Awesome-Controllable-Video-Diffusion#universal-control)
- [Camera Control](https://github.com/wangqiang9/Awesome-Controllable-Video-Diffusion#camera-control)
- [Trajectory Control](https://github.com/wangqiang9/Awesome-Controllable-Video-Diffusion#trajectory-control)
- [Subject Control](https://github.com/wangqiang9/Awesome-Controllable-Video-Diffusion#subject-control)
- [Area Control](https://github.com/wangqiang9/Awesome-Controllable-Video-Diffusion/blob/main/README.md#area-control)
- [Video Control](https://github.com/wangqiang9/Awesome-Controllable-Video-Diffusion/blob/main/README.md#video-control)
- [Brain Control](https://github.com/wangqiang9/Awesome-Controllable-Video-Diffusion/blob/main/README.md#brain-control)
- [ID Control](https://github.com/wangqiang9/Awesome-Controllable-Video-Diffusion/blob/main/README.md#faceid-control)
## Pose Control
EchoMimicV2: Towards Striking, Simplified, and Semi-Body Human Animation
[📄 Paper](https://arxiv.org/abs/2411.10061) | [🌐 Project Page](https://github.com/antgroup/echomimic_v2) | [💻 Code](https://github.com/antgroup/echomimic_v2)
MikuDance: Animating Character Art with Mixed Motion Dynamics
[📄 Paper](https://arxiv.org/abs/2411.08656) | [🌐 Project Page](https://igl-hkust.github.io/das/) | [💻 Code](https://github.com/IGL-HKUST/DiffusionAsShader)
Diffusion as Shader: 3D-aware Video Diffusion for Versatile Video Generation Control
[📄 Paper](https://arxiv.org/abs/2501.03847) | [🌐 Project Page](https://kebii.github.io/MikuDance/) | [💻 Code](https://github.com/CyberAgentAILab/TANGO)
TANGO: Co-Speech Gesture Video Reenactment with Hierarchical Audio-Motion Embedding and Diffusion Interpolation
[📄 Paper](https://arxiv.org/abs/2410.04221) | [🌐 Project Page](https://pantomatrix.github.io/TANGO/) | [💻 Code](https://github.com/CyberAgentAILab/TANGO)
DynamicPose: A robust image-to-video framework for portrait animation driven by pose sequences
[💻 Code](https://github.com/dynamic-X-LAB/DynamicPose)
Alignment is All You Need: A Training-free Augmentation Strategy for Pose-guided Video Generation
[📄 Paper](https://arxiv.org/abs/2408.16506)
Follow Your Pose: Pose-Guided Text-to-Video Generation using Pose-Free Videos
[📄 Paper](https://arxiv.org/abs/2304.01186) | [🌐 Project Page](https://follow-your-pose.github.io/) | [💻 Code](https://github.com/mayuelala/FollowYourPose)
Animate Anyone: Consistent and Controllable Image-to-Video Synthesis for Character Animation
[📄 Paper](https://arxiv.org/pdf/2311.17117.pdf) | [🌐 Project Page](https://humanaigc.github.io/animate-anyone/)
DreaMoving: A Human Video Generation Framework based on Diffusion Models
[📄 Paper](https://arxiv.org/abs/2312.05107) | [🌐 Project Page](https://dreamoving.github.io/dreamoving/) | [💻 Code](https://github.com/dreamoving/dreamoving-project)
MagicPose: Realistic Human Poses and Facial Expressions Retargeting with Identity-aware Diffusion
[📄 Paper](https://arxiv.org/abs/2311.12052) | [🌐 Project Page](https://boese0601.github.io/magicdance/) | [💻 Code](https://github.com/Boese0601/MagicDance)
MagicAnimate: Temporally Consistent Human Image Animation using Diffusion Model
[📄 Paper](https://arxiv.org/abs/2406.01188) | [🌐 Project Page](https://showlab.github.io/magicanimate/) | [💻 Code](https://github.com/magic-research/magic-animate)
Champ: Controllable and Consistent Human Image Animation with 3D Parametric Guidance
[📄 Paper](https://arxiv.org/pdf/2403.14781) | [🌐 Project Page](https://fudan-generative-vision.github.io/champ/#/) | [💻 Code](https://github.com/fudan-generative-vision/champ)
Magic-Me: Identity-Specific Video Customized Diffusion
[📄 Paper](https://arxiv.org/abs/2402.09368) | [🌐 Project Page](https://magic-me-webpage.github.io/) | [💻 Code](https://github.com/Zhen-Dong/Magic-Me)
DisCo: Disentangled Control for Referring Human Dance Generation in Real World
[📄 Paper](https://arxiv.org/abs/2307.00040) | [🌐 Project Page](https://disco-dance.github.io/) | [💻 Code](https://github.com/Wangt-CN/DisCo)
Human4DiT: Free-view Human Video Generation with 4D Diffusion Transformer
[📄 Paper](https://arxiv.org/abs/2405.17405) | [🌐 Project Page](https://human4dit.github.io/)
MimicMotion : High-Quality Human Motion Video Generation with Confidence-aware Pose Guidance
[📄 Paper](https://arxiv.org/abs/2406.19680) | [🌐 Project Page](https://tencent.github.io/MimicMotion/) | [💻 Code](https://github.com/tencent/MimicMotion)
Follow-Your-Pose v2: Multiple-Condition Guided Character Image Animation for Stable Pose Control
[📄 Paper](https://arxiv.org/abs/2406.03035) | [🌐 Project Page](https://follow-your-pose-v2.github.io/)
HumanVid: Demystifying Training Data for Camera-controllable Human Image Animation
[📄 Paper](https://arxiv.org/abs/2407.17438) | [🌐 Project Page](https://humanvid.github.io/) | [💻 Code](https://github.com/zhenzhiwang/HumanVid)
MusePose: a Pose-Driven Image-to-Video Framework for Virtual Human Generation.
[💻 Code](https://github.com/TMElyralab/MusePose)
MDM: Human Motion Diffusion Model
[📄 Paper](https://arxiv.org/abs/2209.14916) | [🌐 Project Page](https://guytevet.github.io/mdm-page/) | [💻 Code](https://github.com/GuyTevet/motion-diffusion-model)
## Audio Control
MEMO: Memory-Guided Diffusion for Expressive Talking Video Generation
[📄 Paper](https://arxiv.org/abs/2412.04448) | [🌐 Project Page](https://memoavatar.github.io/) | [💻 Code](https://github.com/memoavatar/memo)
Hallo2: Long-Duration and High-Resolution Audio-driven Portrait Image Animation
[📄 Paper](https://arxiv.org/abs/2410.07718) | [🌐 Project Page](https://fudan-generative-vision.github.io/hallo2/#/) | [💻 Code](https://github.com/fudan-generative-vision/hallo2)
Co-Speech Gesture Video Generation via Motion-Decoupled Diffusion Model
[📄 Paper](https://arxiv.org/pdf/2404.01862) | [🌐 Project Page](https://thuhcsi.github.io/S2G-MDDiffusion/) | [💻 Code](https://github.com/thuhcsi/S2G-MDDiffusion)
Diverse and Aligned Audio-to-Video Generation via Text-to-Video Model Adaptation
[📄 Paper](https://arxiv.org/abs/2309.16429) | [🌐 Project Page](https://pages.cs.huji.ac.il/adiyoss-lab/TempoTokens/) | [💻 Code](https://github.com/guyyariv/TempoTokens)
MM-Diffusion: Learning Multi-Modal Diffusion Models for Joint Audio and Video Generation
[📄 Paper](https://arxiv.org/abs/2212.09478) | [💻 Code](https://github.com/researchmm/MM-Diffusion)
Speech Driven Video Editing via an Audio-Conditioned Diffusion Model
[📄 Paper](https://arxiv.org/abs/2301.04474) | [🌐 Project Page](https://danbigioi.github.io/DiffusionVideoEditing/) | [💻 Code](https://github.com/DanBigioi/DiffusionVideoEditing)
Hallo: Hierarchical Audio-Driven Visual Synthesis for Portrait Image Animation
[📄 Paper](https://arxiv.org/pdf/2406.08801) | [🌐 Project Page](https://fudan-generative-vision.github.io/hallo/#/) | [💻 Code](https://github.com/fudan-generative-vision/hallo)
Listen, denoise, action! Audio-driven motion synthesis with diffusion models
[📄 Paper](https://arxiv.org/abs/2211.09707) | [🌐 Project Page](https://www.speech.kth.se/research/listen-denoise-action/) | [💻 Code](https://github.com/simonalexanderson/ListenDenoiseAction/)
CoDi: Any-to-Any Generation via Composable Diffusion
[📄 Paper](http://arxiv.org/abs/2305.11846) | [🌐 Project Page](https://codi-gen.github.io/) | [💻 Code](https://github.com/microsoft/i-Code/tree/main/i-Code-V3)
Generative Disco: Text-to-Video Generation for Music Visualization
[📄 Paper](https://arxiv.org/abs/2304.08551)
AADiff: Audio-Aligned Video Synthesis with Text-to-Image Diffusion
[📄 Paper](https://arxiv.org/abs/2305.04001)
EMO: Emote Portrait Alive Generating Expressive Portrait Videos with Audio2Video Diffusion Model under Weak Conditions
[📄 Paper](https://arxiv.org/abs/2402.17485) | [🌐 Project Page](https://humanaigc.github.io/emote-portrait-alive/) | [💻 Code](https://github.com/HumanAIGC/EMO)
Context-aware Talking Face Video Generation
[📄 Paper](https://arxiv.org/abs/2402.18092)
## Universal Control
ControlNeXt: Powerful and Efficient Control for Image and Video Generation
[📄 Paper](https://arxiv.org/abs/2408.06070) | [🌐 Project Page](https://pbihao.github.io/projects/controlnext/index.html) | [💻 Code](https://github.com/dvlab-research/ControlNeXt)
Control-A-Video: Controllable Text-to-Video Generation with Diffusion Models
[📄 Paper](https://arxiv.org/abs/2408.06070) | [🌐 Project Page](https://controlavideo.github.io/) | [💻 Code](https://github.com/Weifeng-Chen/control-a-video)
ControlVideo: Training-free Controllable Text-to-Video Generation
[📄 Paper](https://arxiv.org/abs/2305.13077) | [💻 Code](https://github.com/YBYBZhang/ControlVideo)
TrackGo: A Flexible and Efficient Method for Controllable Video Generation
[📄 Paper](https://controlavideo.github.io/#paper) | [🌐 Project Page](https://zhtjtcz.github.io/TrackGo-Page/#) | [💻 Code](https://zhtjtcz.github.io/TrackGo-Page/#)
VideoComposer: Compositional Video Synthesis with Motion Controllability
[📄 Paper](https://arxiv.org/abs/2306.02018) | [🌐 Project Page](https://videocomposer.github.io/) | [💻 Code](https://github.com/damo-vilab/videocomposer)
Make-Your-Video: Customized Video Generation Using Textual and Structural Guidance
[📄 Paper](https://arxiv.org/abs/2306.00943) | [🌐 Project Page](https://doubiiu.github.io/projects/Make-Your-Video/) | [💻 Code](https://github.com/VideoCrafter/Make-Your-Video)
UniCtrl: Improving the Spatiotemporal Consistency of Text-to-Video Diffusion Models via Training-Free Unified Attention Control
[📄 Paper](https://arxiv.org/pdf/2403.02332.pdf) | [🌐 Project Page](https://unified-attention-control.github.io/) | [💻 Code](https://github.com/XuweiyiChen/UniCtrl)
SparseCtrl: Adding Sparse Controls to Text-to-Video Diffusion Models
[📄 Paper](https://arxiv.org/abs/2311.16933) | [🌐 Project Page](https://guoyww.github.io/projects/SparseCtrl/) | [💻 Code](https://github.com/guoyww/AnimateDiff#202312-animatediff-v3-and-sparsectrl)
VideoControlNet: A Motion-Guided Video-to-Video Translation Framework by Using Diffusion Model with ControlNet
[📄 Paper](https://arxiv.org/abs/2307.14073) | [🌐 Project Page](https://vcg-aigc.github.io/) | [💻 Code](https://github.com/ZhihaoHu/VideoControlNet)
Cinemo: Consistent and Controllable Image Animation with Motion Diffusion Models
[📄 Paper](https://arxiv.org/abs/2407.15642) | [🌐 Project Page](https://maxin-cn.github.io/cinemo_project/) | [💻 Code](https://github.com/maxin-cn/Cinemo)
## Camera Control
MotionMaster: Training-free Camera Motion Transfer For Video Generation
[📄 Paper](https://arxiv.org/pdf/2404.15789) | [🌐 Project Page](https://sjtuplayer.github.io/projects/MotionMaster/) | [💻 Code](https://github.com/sjtuplayer/MotionMaster)
CinePreGen: Camera Controllable Video Previsualization via Engine-powered Diffusion
[📄 Paper](https://arxiv.org/html/2408.17424v1)
CamViG: Camera Aware Image-to-Video Generation with Multimodal Transformers
[📄 Paper](https://arxiv.org/abs/2405.13195)
Direct-a-Video: Customized Video Generation with User-Directed Camera Movement and Object Motion
[📄 Paper](https://arxiv.org/abs/2402.03162) | [🌐 Project Page](https://direct-a-video.github.io/) | [💻 Code](https://github.com/ysy31415/direct_a_video)
MotionCtrl: A Unified and Flexible Motion Controller for Video Generation
[📄 Paper](https://arxiv.org/pdf/2312.03641.pdf) | [🌐 Project Page](https://wzhouxiff.github.io/projects/MotionCtrl/) | [💻 Code](https://github.com/TencentARC/MotionCtrl)
CameraCtrl: Enabling Camera Control for Text-to-Video Generation
[📄 Paper](https://arxiv.org/abs/2404.02101) | [🌐 Project Page](https://hehao13.github.io/projects-CameraCtrl/) | [💻 Code](https://github.com/hehao13/CameraCtrl)
VD3D: Taming Large Video Diffusion Transformers for 3D Camera Control
[📄 Paper](https://arxiv.org/abs/2407.12781) | [🌐 Project Page](https://snap-research.github.io/vd3d/)
Controlling Space and Time with Diffusion Models
[📄 Paper](https://arxiv.org/pdf/2407.07860) | [🌐 Project Page](https://4d-diffusion.github.io/)
CamCo: Camera-Controllable 3D-Consistent Image-to-Video Generation
[📄 Paper](https://arxiv.org/abs/2406.02509) | [🌐 Project Page](https://ir1d.github.io/CamCo/)
Collaborative Video Diffusion: Consistent Multi-video Generation with Camera Control
[📄 Paper](https://arxiv.org/pdf/2405.17414) | [🌐 Project Page](https://collaborativevideodiffusion.github.io/)
HumanVid: Demystifying Training Data for Camera-controllable Human Image Animation
[📄 Paper](https://arxiv.org/abs/2407.17438) | [🌐 Project Page](https://humanvid.github.io/) | [💻 Code](https://github.com/zhenzhiwang/HumanVid)
Training-free Camera Control for Video Generation
[📄 Paper](https://arxiv.org/pdf/2406.10126) | [🌐 Project Page](https://lifedecoder.github.io/CamTrol/)
Director3D: Real-world Camera Trajectory and 3D Scene Generation from Text
[📄 Paper](https://arxiv.org/pdf/2406.17601) | [🌐 Project Page](https://imlixinyang.github.io/director3d-page/) | [💻 Code](https://github.com/imlixinyang/director3d)
MotionBooth: Motion-Aware Customized Text-to-Video Generation
[📄 Paper](http://arxiv.org/abs/2406.17758v1) | [💻 Code](https://github.com/jianzongwu/MotionBooth)
DiffDreamer: Towards Consistent Unsupervised Single-view Scene Extrapolation with Conditional Diffusion Models
[📄 Paper](https://primecai.github.io/static/pdfs/diffdreamer.pdf) | [🌐 Project Page]([https://imlixinyang.github.io/director3d-page/](https://primecai.github.io/diffdreamer))
## Trajectory Control
FreeTraj: Tuning-Free Trajectory Control in Video Diffusion Models
[📄 Paper](https://arxiv.org/abs/2406.16863) | [🌐 Project Page](http://haonanqiu.com/projects/FreeTraj.html) | [💻 Code](https://github.com/arthur-qiu/FreeTraj)
TrailBlazer: Trajectory Control for Diffusion-Based Video Generation
[📄 Paper](http://arxiv.org/abs/2401.00896) | [🌐 Project Page](https://hohonu-vicml.github.io/Trailblazer.Page/) | [💻 Code](https://github.com/hohonu-vicml/Trailblazer)
DragNUWA: Fine-grained Control in Video Generation by Integrating Text, Image, and Trajectory
[📄 Paper](https://www.microsoft.com/en-us/research/publication/dragnuwa-fine-grained-control-in-video-generation-by-integrating-text-image-and-trajectory/bibtex/) | [🌐 Project Page](https://www.microsoft.com/en-us/research/project/dragnuwa/) | [💻 Code](https://github.com/ProjectNUWA/DragNUWA)
Tora: Trajectory-oriented Diffusion Transformer for Video Generation
[📄 Paper](https://arxiv.org/abs/2407.21705) | [🌐 Project Page](https://ali-videoai.github.io/tora_video/)
Controllable Longer Image Animation with Diffusion Models
[📄 Paper](https://arxiv.org/abs/2405.17306) | [🌐 Project Page](https://wangqiang9.github.io/Controllable.github.io/)
MotionCtrl: A Unified and Flexible Motion Controller for Video Generation
[📄 Paper](https://arxiv.org/pdf/2312.03641.pdf) | [🌐 Project Page](https://wzhouxiff.github.io/projects/MotionCtrl/) | [💻 Code](https://github.com/TencentARC/MotionCtrl)
MotionBooth: Motion-Aware Customized Text-to-Video Generation
[📄 Paper](http://arxiv.org/abs/2406.17758v1) | [💻 Code](https://github.com/jianzongwu/MotionBooth)
Puppet-Master: Scaling Interactive Video Generation as a Motion Prior for Part-Level Dynamics
[📄 Paper](https://arxiv.org/pdf/2408.04631) | [🌐 Project Page](https://vgg-puppetmaster.github.io/) | [💻 Code](https://github.com/RuiningLi/puppet-master)
Direct-a-Video: Customized Video Generation with User-Directed Camera Movement and Object Motion
[📄 Paper](https://arxiv.org/abs/2402.03162) | [🌐 Project Page](https://direct-a-video.github.io/) | [💻 Code](https://github.com/ysy31415/direct_a_video)
Generative Image Dynamics
[📄 Paper](https://arxiv.org/abs/2309.07906) | [🌐 Project Page](https://generative-dynamics.github.io/)
Motion-Zero: Zero-Shot Moving Object Control Framework for Diffusion-Based Video Generation
[📄 Paper](https://arxiv.org/abs/2401.10150)
Video Diffusion Models are Training-free Motion Interpreter and Controlle
[📄 Paper](https://arxiv.org/abs/2405.14864) | [🌐 Project Page](https://xizaoqu.github.io/moft/)
## Subject Control
Tunnel Try-on: Excavating Spatial-temporal Tunnels for High-quality Virtual Try-on in Videos
[📄 Paper](https://arxiv.org/pdf/2404.17571)
Direct-a-Video: Customized Video Generation with User-Directed Camera Movement and Object Motion
[📄 Paper](https://arxiv.org/abs/2402.03162) | [🌐 Project Page](https://direct-a-video.github.io/) | [💻 Code](https://github.com/ysy31415/direct_a_video)
ActAnywhere: Subject-Aware Video Background Generation
[📄 Paper](https://arxiv.org/abs/2401.10822) | [🌐 Project Page](https://actanywhere.github.io/)
MotionBooth: Motion-Aware Customized Text-to-Video Generation
[📄 Paper](http://arxiv.org/abs/2406.17758v1) | [💻 Code](https://github.com/jianzongwu/MotionBooth)
Animate-A-Story: Storytelling with Retrieval-Augmented Video Generation
[📄 Paper](https://arxiv.org/abs/2307.06940) | [💻 Code](https://github.com/AILab-CVC/Animate-A-Story)
One-Shot Learning Meets Depth Diffusion in Multi-Object Videos
[📄 Paper](https://arxiv.org/abs/2408.16704)
## Area Control
Boximator: Generating Rich and Controllable Motions for Video Synthesis
[📄 Paper](https://arxiv.org/abs/2402.01566) | [🌐 Project Page](https://boximator.github.io/)
Follow-Your-Click: Open-domain Regional Image Animation via Short Prompts
[📄 Paper](https://arxiv.org/abs/2403.08268) | [🌐 Project Page](https://follow-your-click.github.io/) | [💻 Code](https://github.com/mayuelala/FollowYourClick)
AnimateAnything: Fine-Grained Open Domain Image Animation with Motion Guidance
[📄 Paper](https://arxiv.org/pdf/2311.12886.pdf) | [🌐 Project Page](https://animationai.github.io/AnimateAnything/) | [💻 Code](https://github.com/alibaba/animate-anything)
Motion-I2V: Consistent and Controllable Image-to-Video Generation with Explicit Motion Modeling
[📄 Paper](https://arxiv.org/abs/2401.15977) | [🌐 Project Page](https://xiaoyushi97.github.io/Motion-I2V/)
Streetscapes: Large-scale Consistent Street View Generation Using Autoregressive Video Diffusion
[📄 Paper](https://arxiv.org/abs/2407.13759) | [🌐 Project Page](https://boyangdeng.com/streetscapes/)
## Video Control
Customizing Motion in Text-to-Video Diffusion Models
[📄 Paper](https://arxiv.org/pdf/2312.04966.pdf) | [🌐 Project Page](https://joaanna.github.io/customizing_motion/)
MotionClone: Training-Free Motion Cloning for Controllable Video Generation
[📄 Paper](https://arxiv.org/abs/2406.05338) | [🌐 Project Page](https://bujiazi.github.io/motionclone.github.io/) | [💻 Code](https://github.com/Bujiazi/MotionClone)
VMC: Video Motion Customization using Temporal Attention Adaption for Text-to-Video Diffusion Models
[📄 Paper](https://video-motion-customization.github.io/static/video-motion-customization(vmc)-arxiv.pdf) | [🌐 Project Page](https://video-motion-customization.github.io/) | [💻 Code](https://github.com/HyeonHo99/Video-Motion-Customization)
Motion Inversion for Video Customization
[📄 Paper](https://arxiv.org/abs/2403.20193) | [🌐 Project Page](https://wileewang.github.io/MotionInversion/) | [💻 Code](https://github.com/EnVision-Research/MotionInversion)
## Brain Control
NeuroCine: Decoding Vivid Video Sequences from Human Brain Activties
[📄 Paper](https://arxiv.org/abs/2402.01590)
## ID Control
Identity-Preserving Text-to-Video Generation by Frequency Decomposition
[📄 Paper](https://arxiv.org/abs/2411.17440) | [🌐 Project Page](https://pku-yuangroup.github.io/ConsisID/) | [💻 Code](https://github.com/PKU-YuanGroup/ConsisID)
Movie Gen: A Cast of Media Foundation Models
[📄 Paper](https://ai.meta.com/static-resource/movie-gen-research-paper)
ID-Animator: Zero-Shot Identity-Preserving Human Video Generation
[📄 Paper](https://arxiv.org/abs/2404.15275) | [🌐 Project Page](https://id-animator.github.io/) | [💻 Code](https://github.com/ID-Animator/ID-Animator)
VideoBooth: Diffusion-based Video Generation with Image Prompts
[📄 Paper](https://github.com/Vchitect/VideoBooth/blob/main/xxxx) | [🌐 Project Page](https://vchitect.github.io/VideoBooth-project/) | [💻 Code](https://github.com/Vchitect/VideoBooth)
Magic-Me: Identity-Specific Video Customized Diffusion
[📄 Paper](https://arxiv.org/abs/2402.09368) | [🌐 Project Page](https://magic-me-webpage.github.io/) | [💻 Code](https://github.com/Zhen-Dong/Magic-Me)