Papers with Code 아카이브

Image Animation

태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.

전체 기법 전체 데이터셋

하위 태스크: 0
평가표: 0
보존된 평가 기록: 0

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/vivoCameraResearch/Hyper-Motion

공식 코드

HyperMotion: DiT-Based Pose-Guided Human Image Animation of Complex Motions

https://github.com/vvictoryuki/animatezero

공식 코드

AnimateZero: Video Diffusion Models are Zero-Shot Image Animators

https://github.com/winfredy/sadtalker

공식 코드

SadTalker: Learning Realistic 3D Motion Coefficients for Stylized Audio-Driven Single Image Talking Face Animation

https://github.com/yoyo-nb/thin-plate-spline-motion-model

공식 코드

Thin-Plate Spline Motion Model for Image Animation

https://github.com/zhenzhiwang/humanvid

공식 코드

HumanVid: Demystifying Training Data for Camera-controllable Human Image Animation

https://github.com/OpenTalker/SadTalker

SadTalker: Learning Realistic 3D Motion Coefficients for Stylized Audio-Driven Single Image Talking Face Animation

https://github.com/RaphaelBensTAU/animation_masking_w_bg

Image Animation with Perturbed Masks

https://github.com/Sainzerjj/UniAnimate

UniAnimate: Taming Unified Video Diffusion Models for Consistent Human Image Animation

https://github.com/Wangt-CN/DisCo

MagicAnimate: Temporally Consistent Human Image Animation using Diffusion Model

https://github.com/abhaskumarsinha/KMT

First Order Motion Model for Image Animation

https://github.com/arthur-qiu/FreeNoise-AnimateDiff

AnimateDiff: Animate Your Personalized Text-to-Image Diffusion Models without Specific Tuning

https://github.com/bujiazi/motionclone

AnimateDiff: Animate Your Personalized Text-to-Image Diffusion Models without Specific Tuning

https://github.com/deepbrainai-research/prioritycut

PriorityCut: Occlusion-guided Regularization for Warp-based Image Animation

https://github.com/fudan-generative-vision/hallo

Hallo: Hierarchical Audio-Driven Visual Synthesis for Portrait Image Animation

https://github.com/goluck-konuko/animation-based-codecs

Ultra-low bitrate video conferencing using deep image animation

https://github.com/jialetao/dam

Move As You Like: Image Animation in E-Commerce Scenario

https://github.com/levyisthebest/echopulse_prelease

Moonshot: Towards Controllable Video Generation and Editing with Multimodal Conditions

https://github.com/lpengyang/motionclone

AnimateDiff: Animate Your Personalized Text-to-Image Diffusion Models without Specific Tuning

https://github.com/magic-research/magic-animate

MagicAnimate: Temporally Consistent Human Image Animation using Diffusion Model

https://github.com/nvidiagameworks/kaolin-wisp

Neural Fields in Visual Computing and Beyond

https://github.com/showlab/diffsim

MagicAnimate: Temporally Consistent Human Image Animation using Diffusion Model

https://github.com/snap-research/panda-70m

AnimateDiff: Animate Your Personalized Text-to-Image Diffusion Models without Specific Tuning

https://github.com/soCzech/ShowHowTo

DynamiCrafter: Animating Open-domain Images with Video Diffusion Priors

https://github.com/sunzey/alphaclip

AnimateDiff: Animate Your Personalized Text-to-Image Diffusion Models without Specific Tuning

https://github.com/talesofai/animatediff

AnimateDiff: Animate Your Personalized Text-to-Image Diffusion Models without Specific Tuning

https://github.com/xih108/Video_Completion

First Order Motion Model for Image Animation

https://github.com/yhZhai/mcm

AnimateDiff: Animate Your Personalized Text-to-Image Diffusion Models without Specific Tuning

https://github.com/zhuangshaobin/Video-GPT

Video-GPT via Next Clip Diffusion

출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.