https://github.com/foamliu/InsightFace-v3
ArcFace: Additive Angular Margin Loss for Deep Face Recognition
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/foivospar/Arc2Face
https://github.com/genforce/fairgen
Improving the Fairness of Deep Generative Models without Retraining
https://github.com/genforce/interfacegan
Progressive Growing of GANs for Improved Quality, Stability, and Variation
https://github.com/godofpdog/MobileFaceNet_keras
ArcFace: Additive Angular Margin Loss for Deep Face Recognition
https://github.com/gregoiredervaux/face_recognition
ArcFace: Additive Angular Margin Loss for Deep Face Recognition
https://github.com/grey-eye/talking-heads
Few-Shot Adversarial Learning of Realistic Neural Talking Head Models
https://github.com/haiyuwu/facebrightness
ArcFace: Additive Angular Margin Loss for Deep Face Recognition
https://github.com/hao-qiang/GANimation-tf
GANimation: Anatomically-aware Facial Animation from a Single Image
https://github.com/happy-jihye/Cartoon-StyleGAN
https://github.com/happynear/AMSoftmax
ArcFace: Additive Angular Margin Loss for Deep Face Recognition
https://github.com/hazdzz/BGU
https://github.com/hcholab/k-salsa
Encoding in Style: a StyleGAN Encoder for Image-to-Image Translation
https://github.com/hqhoangvuong/paperspace_ml_01
ArcFace: Additive Angular Margin Loss for Deep Face Recognition
https://github.com/hubert0527/COCO-GAN
https://github.com/hui-po-wang/hijackgan
Progressive Growing of GANs for Improved Quality, Stability, and Variation
https://github.com/hukangli/https-github.com-deepinsight-insightface
ArcFace: Additive Angular Margin Loss for Deep Face Recognition
https://github.com/hukkelas/progan-pytorch
Progressive Growing of GANs for Improved Quality, Stability, and Variation
https://github.com/human-analysis/RankGAN
https://github.com/huybik/GAN-Experiments-Pytorch
Progressive Growing of GANs for Improved Quality, Stability, and Variation
https://github.com/huybik/GANs-Pytorch
Progressive Growing of GANs for Improved Quality, Stability, and Variation
https://github.com/interdigitalinc/featurestyleencoder
Encoding in Style: a StyleGAN Encoder for Image-to-Image Translation
https://github.com/irynakostyshyn/A-Style-Based-Generator-Architecture-for-GAN
Progressive Growing of GANs for Improved Quality, Stability, and Variation
https://github.com/ivychill/insightface
ArcFace: Additive Angular Margin Loss for Deep Face Recognition
https://github.com/j-void/ISL_v2v
https://github.com/jaredaevans/FishGAN
Progressive Growing of GANs for Improved Quality, Stability, and Variation
https://github.com/jeromerony/Progressive_Growing_of_GANs-PyTorch
Progressive Growing of GANs for Improved Quality, Stability, and Variation
https://github.com/jiajunhua/tkarras-progressive_growing_of_gans
Progressive Growing of GANs for Improved Quality, Stability, and Variation
https://github.com/jis478/AniGAN
AniGAN: Style-Guided Generative Adversarial Networks for Unsupervised Anime Face Generation
https://github.com/jixinya/EVP
https://github.com/joaocneves/gan_fingerprint_removal
GANprintR: Improved Fakes and Evaluation of the State of the Art in Face Manipulation Detection
https://github.com/jonasz/progressive_infogan
Progressive Growing of GANs for Improved Quality, Stability, and Variation
https://github.com/joonson/yousaidthat
https://github.com/joovvhan/ecapa-tdnn
ArcFace: Additive Angular Margin Loss for Deep Face Recognition
https://github.com/justinjohn0306/EverybodyDanceNow-Colab
https://github.com/karlchahine/neural-cover-selection-for-image-steganography
Progressive Growing of GANs for Improved Quality, Stability, and Variation
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.