StyleFace: Towards Identity-Disentangled Face Generation on Megapixels

[1]  Qifeng Chen,et al.  High-Fidelity GAN Inversion for Image Attribute Editing , 2021, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

[2]  Xiaoou Tang,et al.  InterFaceGAN: Interpreting the Disentangled Face Representation Learned by GANs , 2020, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[3]  Li Song,et al.  Personalized and Invertible Face De-identification by Disentangled Identity Information Manipulation , 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV).

[4]  Jaakko Lehtinen,et al.  Alias-Free Generative Adversarial Networks , 2021, NeurIPS.

[5]  Rongrong Ji,et al.  HifiFace: 3D Shape and Semantic Prior Guided High Fidelity Face Swapping , 2021, IJCAI.

[6]  Ran He,et al.  Information Bottleneck Disentanglement for Identity Swapping , 2021, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

[7]  Ran He,et al.  FaceInpainter: High Fidelity Face Adaptation to Heterogeneous Domains , 2021, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

[8]  Peiran Ren,et al.  GAN Prior Embedded Network for Blind Face Restoration in the Wild , 2021, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

[9]  Zhenan Sun,et al.  One Shot Face Swapping on Megapixels , 2021, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

[10]  Tat-Jen Cham,et al.  AgileGAN , 2021, ACM Trans. Graph..

[11]  Bingbing Ni,et al.  SimSwap: An Efficient Framework For High Fidelity Face Swapping , 2020, ACM Multimedia.

[12]  Dong Chen,et al.  Advancing High Fidelity Identity Swapping for Forgery Detection , 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

[13]  Phillip Isola,et al.  Understanding Contrastive Representation Learning through Alignment and Uniformity on the Hypersphere , 2020, ICML.

[14]  Ismail Elezi,et al.  CIAGAN: Conditional Identity Anonymization Generative Adversarial Networks , 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

[15]  Jiaolong Yang,et al.  Disentangled and Controllable Face Image Generation via 3D Imitative-Contrastive Learning , 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

[16]  Aaron Hertzmann,et al.  GANSpace: Discovering Interpretable GAN Controls , 2020, NeurIPS.

[17]  Feiyue Huang,et al.  CurricularFace: Adaptive Curriculum Learning Loss for Deep Face Recognition , 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

[18]  Tero Karras,et al.  Analyzing and Improving the Image Quality of StyleGAN , 2019, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

[19]  Yong Jae Lee,et al.  Password-conditioned Anonymization and Deanonymization with Face Identity Transformers , 2019, ECCV.

[20]  Peter Wonka,et al.  Image2StyleGAN++: How to Edit the Embedded Images? , 2019, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

[21]  Ross B. Girshick,et al.  Momentum Contrast for Unsupervised Visual Representation Learning , 2019, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

[22]  Lingyun Wu,et al.  MaskGAN: Towards Diverse and Interactive Facial Image Manipulation , 2019, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

[23]  Lior Wolf,et al.  Live Face De-Identification in Video , 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).

[24]  Moncef Gabbouj,et al.  Reversible Privacy Preservation using Multi-level Encryption and Compressive Sensing , 2019, 2019 27th European Signal Processing Conference (EUSIPCO).

[25]  Michael J. Black,et al.  Learning to Regress 3D Face Shape and Expression From an Image Without 3D Supervision , 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

[26]  Dong Liu,et al.  High-Resolution Representations for Labeling Pixels and Regions , 2019, ArXiv.

[27]  Peter Wonka,et al.  Image2StyleGAN: How to Embed Images Into the StyleGAN Latent Space? , 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).

[28]  Taesung Park,et al.  Semantic Image Synthesis With Spatially-Adaptive Normalization , 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

[29]  Andreas Rössler,et al.  FaceForensics++: Learning to Detect Manipulated Facial Images , 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).

[30]  Timo Aila,et al.  A Style-Based Generator Architecture for Generative Adversarial Networks , 2018, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

[31]  Oriol Vinyals,et al.  Representation Learning with Contrastive Predictive Coding , 2018, ArXiv.

[32]  Yu Liu,et al.  Exploring Disentangled Feature Representation Beyond Face Identification , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.

[33]  Yong Jae Lee,et al.  Learning to Anonymize Faces for Privacy Preserving Action Detection , 2018, ECCV.

[34]  Xing Ji,et al.  CosFace: Large Margin Cosine Loss for Deep Face Recognition , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.

[35]  Jaakko Lehtinen,et al.  Progressive Growing of GANs for Improved Quality, Stability, and Variation , 2017, ICLR.

[36]  Omkar M. Parkhi,et al.  VGGFace2: A Dataset for Recognising Faces across Pose and Age , 2017, 2018 13th IEEE International Conference on Automatic Face & Gesture Recognition (FG 2018).

[37]  James M. Rehg,et al.  Fine-Grained Head Pose Estimation Without Keypoints , 2017, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).

[38]  Chris Donahue,et al.  Semantically Decomposing the Latent Spaces of Generative Adversarial Networks , 2017, ICLR.

[39]  James Philbin,et al.  FaceNet: A unified embedding for face recognition and clustering , 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

[40]  Jimmy Ba,et al.  Adam: A Method for Stochastic Optimization , 2014, ICLR.

[41]  Shengcai Liao,et al.  Learning Face Representation from Scratch , 2014, ArXiv.

[42]  Marwan Mattar,et al.  Labeled Faces in the Wild: A Database forStudying Face Recognition in Unconstrained Environments , 2008 .