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Image Animation
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Image Animation is a field for image-animation of a source image by a driving video
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/AliaksandrSiarohin/monkey-net
공식 코드https://github.com/Doubiiu/DynamiCrafter
공식 코드DynamiCrafter: Animating Open-domain Images with Video Diffusion Priors
https://github.com/Francis-Rings/MotionFollower
공식 코드MotionFollower: Editing Video Motion via Lightweight Score-Guided Diffusion
https://github.com/Francis-Rings/StableAnimator
공식 코드StableAnimator: High-Quality Identity-Preserving Human Image Animation
https://github.com/KwaiVGI/LivePortrait
공식 코드LivePortrait: Efficient Portrait Animation with Stitching and Retargeting Control
https://github.com/Manu21JC/Dormant
공식 코드Dormant: Defending against Pose-driven Human Image Animation
https://github.com/OFA-Sys/DAFlow
공식 코드https://github.com/RQ-Wu/LAMP
공식 코드LAMP: Learn A Motion Pattern for Few-Shot-Based Video Generation
https://github.com/RenYurui/Global-Flow-Local-Attention
공식 코드Deep Spatial Transformation for Pose-Guided Person Image Generation and Animation
https://github.com/SkyworkAI/SkyReels-A1
공식 코드SkyReels-A1: Expressive Portrait Animation in Video Diffusion Transformers
https://github.com/ali-vilab/unianimate-dit
공식 코드UniAnimate-DiT: Human Image Animation with Large-Scale Video Diffusion Transformer
https://github.com/alibaba/animate-anything
공식 코드AnimateAnything: Fine-Grained Open Domain Image Animation with Motion Guidance
https://github.com/antgroup/echomimic
공식 코드EchoMimic: Lifelike Audio-Driven Portrait Animations through Editable Landmark Conditions
https://github.com/bytedance/x-dyna
공식 코드https://github.com/cvsp-lab/iclr2025_3d-mom
공식 코드Optimizing 4D Gaussians for Dynamic Scene Video from Single Landscape Images
https://github.com/devilpg/aaai2024-cpabmm
공식 코드Continuous Piecewise-Affine Based Motion Model for Image Animation
https://github.com/dingyanb/mtvcrafter
공식 코드MTVCrafter: 4D Motion Tokenization for Open-World Human Image Animation
https://github.com/fudan-generative-vision/champ
공식 코드Champ: Controllable and Consistent Human Image Animation with 3D Parametric Guidance
https://github.com/fudan-generative-vision/hallo2
공식 코드Hallo2: Long-Duration and High-Resolution Audio-Driven Portrait Image Animation
https://github.com/fudan-generative-vision/hallo3
공식 코드Hallo3: Highly Dynamic and Realistic Portrait Image Animation with Video Diffusion Transformer
https://github.com/gulucaptain/dynamictrl
공식 코드https://github.com/guoyww/animatediff
공식 코드AnimateDiff: Animate Your Personalized Text-to-Image Diffusion Models without Specific Tuning
https://github.com/hashtag00002/tt-df
공식 코드TT-DF: A Large-Scale Diffusion-Based Dataset and Benchmark for Human Body Forgery Detection
https://github.com/huangjiadidi/DeepFakeMnist
공식 코드https://github.com/itsyoavshalev/Image-Animation-with-Perturbed-Masks
공식 코드https://github.com/jdh-algo/JoyVASA
공식 코드https://github.com/jialetao/motrans
공식 코드https://github.com/lihxxx/dispose
공식 코드DisPose: Disentangling Pose Guidance for Controllable Human Image Animation
https://github.com/maxin-cn/Cinemo
공식 코드Cinemo: Consistent and Controllable Image Animation with Motion Diffusion Models
https://github.com/mayuelala/followyourclick
공식 코드Follow-Your-Click: Open-domain Regional Image Animation via Short Prompts
https://github.com/myniuuu/mofa-video
공식 코드https://github.com/open-mmlab/PIA
공식 코드PIA: Your Personalized Image Animator via Plug-and-Play Modules in Text-to-Image Models
https://github.com/or-toledano/animation-with-keypoint-mask
공식 코드https://github.com/salesforce/lavis
공식 코드Moonshot: Towards Controllable Video Generation and Editing with Multimodal Conditions
https://github.com/text2cinemagraph/text2cinemagraph
공식 코드출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.