https://github.com/SaoYan/GenerativeSkinLesion
Progressive Growing of GANs for Improved Quality, Stability, and Variation
Papers with Code 아카이브
Face Generation
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Face generation is the task of generating (or interpolating) new faces from an existing dataset.
The state-of-the-art results for this task are located in the Image Generation parent.
<span style="color:grey; opacity: 0.6">( Image credit: Progressive Growing of GANs for Improved Quality, Stability, and Variation )</span>
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/SevenZhan/Pytorch
ArcFace: Additive Angular Margin Loss for Deep Face Recognition
https://github.com/ShenYujun/InterFaceGAN
Progressive Growing of GANs for Improved Quality, Stability, and Variation
https://github.com/ShutoAraki/EverybodyDanceNow-Temporal-FaceGAN
https://github.com/SiskonEmilia/StyleGAN-PyTorch
Progressive Growing of GANs for Improved Quality, Stability, and Variation
https://github.com/Soldie/DeOldify-colorir-imagens-antigas
Progressive Growing of GANs for Improved Quality, Stability, and Variation
https://github.com/Soldie/insightface-Rec.Face
ArcFace: Additive Angular Margin Loss for Deep Face Recognition
https://github.com/SonyCSLParis/DrumGAN
Progressive Growing of GANs for Improved Quality, Stability, and Variation
https://github.com/TUM-ML-Lab18/FaceSwap
Progressive Growing of GANs for Improved Quality, Stability, and Variation
https://github.com/Talgin/facerec
ArcFace: Additive Angular Margin Loss for Deep Face Recognition
https://github.com/TencentYoutuResearch/Adv-Makeup
Adv-Makeup: A New Imperceptible and Transferable Attack on Face Recognition
https://github.com/TinDang97/face_recognition
ArcFace: Additive Angular Margin Loss for Deep Face Recognition
https://github.com/TreB1eN/InsightFace_Pytorch
ArcFace: Additive Angular Margin Loss for Deep Face Recognition
https://github.com/VedantDere0104/Progressive_Growing_of_GANs
Progressive Growing of GANs for Improved Quality, Stability, and Variation
https://github.com/VedantDere0104/StyleGAN
Progressive Growing of GANs for Improved Quality, Stability, and Variation
https://github.com/VisiumCH/AMLD2020-Dirty-Gancing
https://github.com/VladAndronik/face_swap
FaceShifter: Towards High Fidelity And Occlusion Aware Face Swapping
https://github.com/Windrill/Scenery-Video-GANs
Progressive Growing of GANs for Improved Quality, Stability, and Variation
https://github.com/Windrill/small-scene-video-GAN
Progressive Growing of GANs for Improved Quality, Stability, and Variation
https://github.com/Yang-Q-D/mindsporeCode/tree/master/arcface
ArcFace: Additive Angular Margin Loss for Deep Face Recognition
https://github.com/YuanxunLu/LiveSpeechPortraits
Live Speech Portraits: Real-Time Photorealistic Talking-Head Animation
https://github.com/ZVK/Talking-Heads
Few-Shot Adversarial Learning of Realistic Neural Talking Head Models
https://github.com/ZVK/talking_heads
Few-Shot Adversarial Learning of Realistic Neural Talking Head Models
https://github.com/ZhaoJ9014/face.evoLVe
ArcFace: Additive Angular Margin Loss for Deep Face Recognition
https://github.com/a514514772/hijackgan
Progressive Growing of GANs for Improved Quality, Stability, and Variation
https://github.com/adldotori/pSp
Encoding in Style: a StyleGAN Encoder for Image-to-Image Translation
https://github.com/adobe-research/MakeItTalk
https://github.com/ahmedbesbes/whales-classification
ArcFace: Additive Angular Margin Loss for Deep Face Recognition
https://github.com/aiinai/tf-insightface
ArcFace: Additive Angular Margin Loss for Deep Face Recognition
https://github.com/akanimax/T2F
Progressive Growing of GANs for Improved Quality, Stability, and Variation
https://github.com/akanimax/pro_gan_pytorch
Progressive Growing of GANs for Improved Quality, Stability, and Variation
https://github.com/alexeyhorkin/ProGAN-PyTorch
Progressive Growing of GANs for Improved Quality, Stability, and Variation
https://github.com/alfagao/DeOldify
Progressive Growing of GANs for Improved Quality, Stability, and Variation
https://github.com/aman-arya/Any-Body-Can-Dance
https://github.com/amanshenoy/pose-invariant-face-recognition
https://github.com/anhtu293/Vietnamese-Celebrity-Face-Recognition
ArcFace: Additive Angular Margin Loss for Deep Face Recognition
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.