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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
논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
Video-GPT via Next Clip Diffusion
MTVCrafter: 4D Motion Tokenization for Open-World Human Image Animation
TT-DF: A Large-Scale Diffusion-Based Dataset and Benchmark for Human Body Forgery Detection
Taming Consistency Distillation for Accelerated Human Image Animation
UniAnimate-DiT: Human Image Animation with Large-Scale Video Diffusion Transformer
Optimizing 4D Gaussians for Dynamic Scene Video from Single Landscape Images
DreamActor-M1: Holistic, Expressive and Robust Human Image Animation with Hybrid Guidance
DynamiCtrl: Rethinking the Basic Structure and the Role of Text for High-quality Human Image Animation
EvAnimate: Event-conditioned Image-to-Video Generation for Human Animation
X-Dancer: Expressive Music to Human Dance Video Generation
SkyReels-A1: Expressive Portrait Animation in Video Diffusion Transformers
VFX Creator: Animated Visual Effect Generation with Controllable Diffusion Transformer
Every Image Listens, Every Image Dances: Music-Driven Image Animation
X-Dyna: Expressive Dynamic Human Image Animation
Joint Learning of Depth and Appearance for Portrait Image Animation
Perception-as-Control: Fine-grained Controllable Image Animation with 3D-aware Motion Representation
MotiF: Making Text Count in Image Animation with Motion Focal Loss
DisPose: Disentangling Pose Guidance for Controllable Human Image Animation
FLOAT: Generative Motion Latent Flow Matching for Audio-driven Talking Portrait
Hallo3: Highly Dynamic and Realistic Portrait Image Animation with Video Diffusion Transformer
StableAnimator: High-Quality Identity-Preserving Human Image Animation
LetsTalk: Latent Diffusion Transformer for Talking Video Synthesis
JoyVASA: Portrait and Animal Image Animation with Diffusion-Based Audio-Driven Facial Dynamics and Head Motion Generation
TPC: Test-time Procrustes Calibration for Diffusion-based Human Image Animation
FrameBridge: Improving Image-to-Video Generation with Bridge Models
Animate-X: Universal Character Image Animation with Enhanced Motion Representation
Hallo2: Long-Duration and High-Resolution Audio-Driven Portrait Image Animation
High Quality Human Image Animation using Regional Supervision and Motion Blur Condition
Dormant: Defending against Pose-driven Human Image Animation
HumanVid: Demystifying Training Data for Camera-controllable Human Image Animation
Cinemo: Consistent and Controllable Image Animation with Motion Diffusion Models
TCAN: Animating Human Images with Temporally Consistent Pose Guidance using Diffusion Models
EchoMimic: Lifelike Audio-Driven Portrait Animations through Editable Landmark Conditions
LivePortrait: Efficient Portrait Animation with Stitching and Retargeting Control
AniFaceDiff: Animating Stylized Avatars via Parametric Conditioned Diffusion Models
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.