HiFaceGAN: Face Renovation via Collaborative Suppression and Replenishment
暂无分享,去创建一个
Wen Gao | Chang Liu | Peiran Ren | Shanshe Wang | Siwei Ma | Pan Wang | Lingbo Yang
[1] Lingyun Wu,et al. MaskGAN: Towards Diverse and Interactive Facial Image Manipulation , 2019, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[2] Feng Wu,et al. Sequential Gating Ensemble Network for Noise Robust Multiscale Face Restoration , 2018, IEEE Transactions on Cybernetics.
[3] Cong Phuoc Huynh,et al. Category-Specific Object Image Denoising , 2017, IEEE Transactions on Image Processing.
[4] Zhangyang Wang,et al. DeblurGAN-v2: Deblurring (Orders-of-Magnitude) Faster and Better , 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).
[5] B. B. Newman,et al. Blind Image Restoration , 1987, Aust. Comput. J..
[6] Xiaoou Tang,et al. Image Super-Resolution Using Deep Convolutional Networks , 2014, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[7] Nick Barnes,et al. Real Image Denoising With Feature Attention , 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).
[8] Zhibo Chen,et al. Multi-Scale Face Restoration With Sequential Gating Ensemble Network , 2018, AAAI.
[9] Klemen Grm,et al. Face Hallucination Using Cascaded Super-Resolution and Identity Priors , 2018, IEEE Transactions on Image Processing.
[10] Deyu Meng,et al. Variational Denoising Network: Toward Blind Noise Modeling and Removal , 2019, NeurIPS.
[11] Alexei A. Efros,et al. The Unreasonable Effectiveness of Deep Features as a Perceptual Metric , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[12] Yoshua Bengio,et al. Generative Adversarial Nets , 2014, NIPS.
[13] Christian Ledig,et al. Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[14] Geoffrey E. Hinton,et al. ImageNet classification with deep convolutional neural networks , 2012, Commun. ACM.
[15] Andrew Zisserman,et al. Very Deep Convolutional Networks for Large-Scale Image Recognition , 2014, ICLR.
[16] Zhou Wang,et al. Multi-scale structural similarity for image quality assessment , 2003 .
[17] Jan Kautz,et al. High-Resolution Image Synthesis and Semantic Manipulation with Conditional GANs , 2017, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[18] Dmitry Rudoy,et al. Blind Image Restoration without Prior Knowledge , 2020, ArXiv.
[19] Francesc Moreno-Noguer,et al. GANimation: Anatomically-aware Facial Animation from a Single Image , 2018, ECCV.
[20] Kyoung Mu Lee,et al. Accurate Image Super-Resolution Using Very Deep Convolutional Networks , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[21] Serge J. Belongie,et al. Arbitrary Style Transfer in Real-Time with Adaptive Instance Normalization , 2017, 2017 IEEE International Conference on Computer Vision (ICCV).
[22] Mengyan Li,et al. Deep Learning Face Hallucination via Attributes Transfer and Enhancement , 2019, 2019 IEEE International Conference on Multimedia and Expo (ICME).
[23] Dae-Shik Kim,et al. Progressive Face Super-Resolution via Attention to Facial Landmark , 2019, BMVC.
[24] Kyoung Mu Lee,et al. Enhanced Deep Residual Networks for Single Image Super-Resolution , 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).
[25] Jaakko Lehtinen,et al. Analyzing and Improving the Image Quality of StyleGAN , 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[26] Wei Wang,et al. Deep Learning for Single Image Super-Resolution: A Brief Review , 2018, IEEE Transactions on Multimedia.
[27] Wei Wu,et al. Feedback Network for Image Super-Resolution , 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[28] Yu Qiao,et al. ESRGAN: Enhanced Super-Resolution Generative Adversarial Networks , 2018, ECCV Workshops.
[29] Yonina C. Eldar,et al. Efficient and Interpretable Deep Blind Image Deblurring Via Algorithm Unrolling , 2020, IEEE Transactions on Computational Imaging.
[30] Thomas S. Huang,et al. Close the loop: Joint blind image restoration and recognition with sparse representation prior , 2011, 2011 International Conference on Computer Vision.
[31] Xinfeng Zhang,et al. Enhanced Image Decoding via Edge-Preserving Generative Adversarial Networks , 2018, 2018 IEEE International Conference on Multimedia and Expo (ICME).
[32] Meng Wang,et al. Enhanced Blind Face Restoration With Multi-Exemplar Images and Adaptive Spatial Feature Fusion , 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[33] Li Fei-Fei,et al. Perceptual Losses for Real-Time Style Transfer and Super-Resolution , 2016, ECCV.
[34] Monika Maru,et al. Image Restoration Techniques: A Survey , 2017 .
[35] Jiri Matas,et al. DeblurGAN: Blind Motion Deblurring Using Conditional Adversarial Networks , 2017, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[36] Shyam Singh Rajput,et al. Face Hallucination Techniques: A Survey , 2018, 2018 Conference on Information and Communication Technology (CICT).
[37] Tieniu Tan,et al. Wavelet-SRNet: A Wavelet-Based CNN for Multi-scale Face Super Resolution , 2017, 2017 IEEE International Conference on Computer Vision (ICCV).
[38] Limin Wang,et al. LIP: Local Importance-Based Pooling , 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).
[39] Sergey Ioffe,et al. Rethinking the Inception Architecture for Computer Vision , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[40] Alexei A. Efros,et al. Toward Multimodal Image-to-Image Translation , 2017, NIPS.
[41] Taesung Park,et al. Semantic Image Synthesis With Spatially-Adaptive Normalization , 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[42] Peter Wonka,et al. SEAN: Image Synthesis With Semantic Region-Adaptive Normalization , 2019, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[43] Shenghui Wang,et al. Component Semantic Prior Guided Generative Adversarial Network for Face Super-Resolution , 2019, IEEE Access.
[44] Alexei A. Efros,et al. Image-to-Image Translation with Conditional Adversarial Networks , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[45] Sepp Hochreiter,et al. GANs Trained by a Two Time-Scale Update Rule Converge to a Local Nash Equilibrium , 2017, NIPS.
[46] Guoying Zhao,et al. Face Hallucination via Coarse-to-Fine Recursive Kernel Regression Structure , 2019, IEEE Transactions on Multimedia.
[47] Raymond Y. K. Lau,et al. Least Squares Generative Adversarial Networks , 2016, 2017 IEEE International Conference on Computer Vision (ICCV).
[48] Xin Yu,et al. Face Super-Resolution Guided by Facial Component Heatmaps , 2018, ECCV.
[49] Josephine Sullivan,et al. One millisecond face alignment with an ensemble of regression trees , 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.
[50] Ruigang Yang,et al. Learning Warped Guidance for Blind Face Restoration , 2018, ECCV.
[51] Alan C. Bovik,et al. Making a “Completely Blind” Image Quality Analyzer , 2013, IEEE Signal Processing Letters.
[52] Wen Gao,et al. Graph-Based Blind Image Deblurring From a Single Photograph , 2018, IEEE Transactions on Image Processing.
[53] Xianming Liu,et al. When Image Denoising Meets High-Level Vision Tasks: A Deep Learning Approach , 2017, IJCAI.
[54] Xiaoou Tang,et al. Compression Artifacts Reduction by a Deep Convolutional Network , 2015, 2015 IEEE International Conference on Computer Vision (ICCV).
[55] 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).
[56] Wenhan Yang,et al. A Comprehensive Benchmark for Single Image Compression Artifact Reduction , 2019, IEEE Transactions on Image Processing.
[57] Jan Kautz,et al. Video-to-Video Synthesis , 2018, NeurIPS.
[58] Pankaj Kumar Sa,et al. Blind Deblurring using Deep Learning: A Survey , 2019, ArXiv.
[59] Jaakko Lehtinen,et al. Progressive Growing of GANs for Improved Quality, Stability, and Variation , 2017, ICLR.
[60] Eero P. Simoncelli,et al. Image quality assessment: from error visibility to structural similarity , 2004, IEEE Transactions on Image Processing.
[61] Georgios Tzimiropoulos,et al. Super-FAN: Integrated Facial Landmark Localization and Super-Resolution of Real-World Low Resolution Faces in Arbitrary Poses with GANs , 2017, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[62] 拓海 杉山,et al. “Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks”の学習報告 , 2017 .
[63] Jian Yang,et al. FSRNet: End-to-End Learning Face Super-Resolution with Facial Priors , 2017, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.