https://github.com/771979972/Paddle_pSp
Encoding in Style: a StyleGAN Encoder for Image-to-Image Translation
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/771979972/paddle-SAM
Only a Matter of Style: Age Transformation Using a Style-Based Regression Model
https://github.com/AbhinavJhanwar/GAN
Progressive Growing of GANs for Improved Quality, Stability, and Variation
https://github.com/Aggrathon/MtGan
Progressive Growing of GANs for Improved Quality, Stability, and Variation
https://github.com/AlexeiKaplenko/FaceShifter_mine
FaceShifter: Towards High Fidelity And Occlusion Aware Face Swapping
https://github.com/AndreasWieg/PC-PGGAN
Progressive Growing of GANs for Improved Quality, Stability, and Variation
https://github.com/Andribi/A2MF_AP
https://github.com/ArMaxik/Progressive_growing_of_GANs-Pytorch_implementation
Progressive Growing of GANs for Improved Quality, Stability, and Variation
https://github.com/Armxyz1/Results-on-RFW
ArcFace: Additive Angular Margin Loss for Deep Face Recognition
https://github.com/Aruie/Aru_StyleGAN
Progressive Growing of GANs for Improved Quality, Stability, and Variation
https://github.com/Aryan05/Generative-Modelling-of-Images-from-Speech_Speech2Face
Wav2Pix: Speech-conditioned Face Generation using Generative Adversarial Networks
https://github.com/Ash-Lee233/PGAN
Progressive Growing of GANs for Improved Quality, Stability, and Variation
https://github.com/AshikaAnand12/FaceManipulation
DeepFakes and Beyond: A Survey of Face Manipulation and Fake Detection
https://github.com/Avditvs/proGAN
Progressive Growing of GANs for Improved Quality, Stability, and Variation
https://github.com/CNC-IISER-BHOPAL/Any-Body-Can-Dance
https://github.com/CatoGit/Comparing-the-Performance-of-Deepfake-Detection-Methods-on-Benchmark-Datasets
DeepFakes: a New Threat to Face Recognition? Assessment and Detection
https://github.com/Coral79/CDDB
Incremental learning for the detection and classification of GAN-generated images
https://github.com/Daeijavad/MAD-GAN
https://github.com/DivJAth/DeepLearning5922
Progressive Growing of GANs for Improved Quality, Stability, and Variation
https://github.com/Eltomad/insightface
ArcFace: Additive Angular Margin Loss for Deep Face Recognition
https://github.com/ExplainableML/UncerGuidedI2I
Progressive Growing of GANs for Improved Quality, Stability, and Variation
https://github.com/Faceplugin-ltd/FaceLivenessDetection-Android
https://github.com/Faceplugin-ltd/FaceRecognition-Android
ArcFace: Additive Angular Margin Loss for Deep Face Recognition
https://github.com/FloList/21cmGAN
Progressive Growing of GANs for Improved Quality, Stability, and Variation
https://github.com/GXU-GMU-MICCAI/PGAN-Paddle
Progressive Growing of GANs for Improved Quality, Stability, and Variation
https://github.com/Gryffindor112358/Arcface
ArcFace: Additive Angular Margin Loss for Deep Face Recognition
https://github.com/Hangz-nju-cuhk/Talking-Face-Generation-DAVS
Talking Face Generation by Adversarially Disentangled Audio-Visual Representation
https://github.com/Hayashi-Yudai/ML_models
ArcFace: Additive Angular Margin Loss for Deep Face Recognition
https://github.com/Heonozis/FaceShifter-pytorch
FaceShifter: Towards High Fidelity And Occlusion Aware Face Swapping
https://github.com/Ierezell/PapierFewShot
Few-Shot Adversarial Learning of Realistic Neural Talking Head Models
https://github.com/InterDigitalInc/Latent-Transformer
Encoding in Style: a StyleGAN Encoder for Image-to-Image Translation
https://github.com/Ipsedo/MusicGAN
Progressive Growing of GANs for Improved Quality, Stability, and Variation
https://github.com/IrvingMeng/MagFace
ArcFace: Additive Angular Margin Loss for Deep Face Recognition
https://github.com/J-woooo/Mask_Remover
Progressive Growing of GANs for Improved Quality, Stability, and Variation
https://github.com/KaitavMehta95/Insight-Ganscape-Studio
Progressive Growing of GANs for Improved Quality, Stability, and Variation
https://github.com/Latope2-150/Progressive_Growing_of_GANs-PyTorch
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.