https://github.com/Francis-Rings/StableAnimator
공식 코드StableAnimator: High-Quality Identity-Preserving Human Image Animation
Papers with Code 아카이브
Face Reenactment
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Face Reenactment is an emerging conditional face synthesis task that aims at fulfilling two goals simultaneously: 1) transfer a source face shape to a target face; while 2) preserve the appearance and the identity of the target face.
Source: One-shot Face Reenactment
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/KwaiVGI/LivePortrait
공식 코드LivePortrait: Efficient Portrait Animation with Stitching and Retargeting Control
https://github.com/Linsen13/EverythingTalking
공식 코드https://github.com/YZY-stack/DF40
공식 코드https://github.com/YuvalNirkin/fsgan
공식 코드https://github.com/affromero/SMILE
공식 코드SMILE: Semantically-guided Multi-attribute Image and Layout Editing
https://github.com/bj80heyue/Learning_One_Shot_Face_Reenactment
공식 코드https://github.com/buaavrcg/BakedAvatar
공식 코드BakedAvatar: Baking Neural Fields for Real-Time Head Avatar Synthesis
https://github.com/flyingby/awesome-deepfake-generation-and-detection
공식 코드https://github.com/junshutang/3DFaceShop
공식 코드3DFaceShop: Explicitly Controllable 3D-Aware Portrait Generation
https://github.com/kangyeolk/animeceleb
공식 코드AnimeCeleb: Large-Scale Animation CelebHeads Dataset for Head Reenactment
https://github.com/lizhenwangt/styleavatar
공식 코드StyleAvatar: Real-time Photo-realistic Portrait Avatar from a Single Video
https://github.com/mdv3101/AVFR-Gan
공식 코드https://github.com/scutzzj/aniportrait
공식 코드AniPortrait: Audio-Driven Synthesis of Photorealistic Portrait Animation
https://github.com/shikiw/initiative-defense-for-deepfake
공식 코드https://github.com/stelabou/hyperreenact
공식 코드HyperReenact: One-Shot Reenactment via Jointly Learning to Refine and Retarget Faces
https://github.com/stelabou/stylegan_directions_face_reenactment
공식 코드Finding Directions in GAN's Latent Space for Neural Face Reenactment
https://github.com/stelabou/stylemask
공식 코드StyleMask: Disentangling the Style Space of StyleGAN2 for Neural Face Reenactment
https://github.com/weimengting/magicportrait
공식 코드MagicPortrait: Temporally Consistent Face Reenactment with 3D Geometric Guidance
https://github.com/wywu/ReenactGAN
공식 코드https://github.com/ygtxr1997/reliableswap
공식 코드ReliableSwap: Boosting General Face Swapping Via Reliable Supervision
https://github.com/yoyo-nb/thin-plate-spline-motion-model
공식 코드https://github.com/zhangzjn/APB2FaceV2
공식 코드https://dagshub.com/Bharat-mtr/One_Shot_Face_Reenactment
https://github.com/Blade6570/icface
ICface: Interpretable and Controllable Face Reenactment Using GANs
https://github.com/littlesunlxy/fedpu-torch
APB2Face: Audio-guided face reenactment with auxiliary pose and blink signals
https://github.com/zejun-yang/aniportrait
AniPortrait: Audio-Driven Synthesis of Photorealistic Portrait Animation
https://github.com/zhangzjn/FReeNet
https://github.com/zhangzjn/ocr-gan
APB2Face: Audio-guided face reenactment with auxiliary pose and blink signals
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.