暂无分享,去创建一个
Alexei A. Efros | Eli Shechtman | Jun-Yan Zhu | Richard Zhang | Taesung Park | Oliver Wang | Jingwan Lu
[1] Tapani Raiko,et al. International Conference on Learning Representations (ICLR) , 2016 .
[2] Yoshua Bengio,et al. Deep Learning of Representations: Looking Forward , 2013, SLSP.
[3] Bogdan Raducanu,et al. Invertible Conditional GANs for image editing , 2016, ArXiv.
[4] Yong Jae Lee,et al. FineGAN: Unsupervised Hierarchical Disentanglement for Fine-Grained Object Generation and Discovery , 2018, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[5] Maneesh Kumar Singh,et al. DRIT++: Diverse Image-to-Image Translation via Disentangled Representations , 2019, International Journal of Computer Vision.
[6] Xianglei Xing,et al. Unsupervised Disentangling of Appearance and Geometry by Deformable Generator Network , 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[7] Andrew Brock,et al. Neural Photo Editing with Introspective Adversarial Networks , 2016, ICLR.
[8] Vladlen Koltun,et al. Photographic Image Synthesis with Cascaded Refinement Networks , 2017, 2017 IEEE International Conference on Computer Vision (ICCV).
[9] Li Fei-Fei,et al. Perceptual Losses for Real-Time Style Transfer and Super-Resolution , 2016, ECCV.
[10] 拓海 杉山,et al. “Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks”の学習報告 , 2017 .
[11] Eero P. Simoncelli,et al. A Parametric Texture Model Based on Joint Statistics of Complex Wavelet Coefficients , 2000, International Journal of Computer Vision.
[12] Andrea Vedaldi,et al. Instance Normalization: The Missing Ingredient for Fast Stylization , 2016, ArXiv.
[13] Richard Zhang,et al. Making Convolutional Networks Shift-Invariant Again , 2019, ICML.
[14] Jaakko Lehtinen,et al. Analyzing and Improving the Image Quality of StyleGAN , 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[15] Dani Lischinski,et al. Non-stationary texture synthesis by adversarial expansion , 2018, ACM Trans. Graph..
[16] Chen Qian,et al. Disentangling Content and Style via Unsupervised Geometry Distillation , 2019, DGS@ICLR.
[17] Alexei A. Efros,et al. Context Encoders: Feature Learning by Inpainting , 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[18] Ting-Chun Wang,et al. Image Inpainting for Irregular Holes Using Partial Convolutions , 2018, ECCV.
[19] 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.
[20] Gregory Shakhnarovich,et al. Learning Representations for Automatic Colorization , 2016, ECCV.
[21] Christopher Burgess,et al. beta-VAE: Learning Basic Visual Concepts with a Constrained Variational Framework , 2016, ICLR 2016.
[22] Geoffrey E. Hinton,et al. Deep Boltzmann Machines , 2009, AISTATS.
[23] David Salesin,et al. Image Analogies , 2001, SIGGRAPH.
[24] Alexei A. Efros,et al. Real-time user-guided image colorization with learned deep priors , 2017, ACM Trans. Graph..
[25] Alexei A. Efros,et al. Colorful Image Colorization , 2016, ECCV.
[26] Sepp Hochreiter,et al. GANs Trained by a Two Time-Scale Update Rule Converge to a Local Nash Equilibrium , 2017, NIPS.
[27] Bjorn Ommer,et al. Unsupervised Robust Disentangling of Latent Characteristics for Image Synthesis , 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).
[28] Yann LeCun,et al. Disentangling factors of variation in deep representation using adversarial training , 2016, NIPS.
[29] Xueting Li,et al. A Closed-form Solution to Photorealistic Image Stylization , 2018, ECCV.
[30] Victor Lempitsky,et al. High-Resolution Daytime Translation Without Domain Labels , 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[31] Edward H. Adelson,et al. Learning visual groups from co-occurrences in space and time , 2015, ArXiv.
[32] Fisher Yu,et al. TextureGAN: Controlling Deep Image Synthesis with Texture Patches , 2017, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[33] Minh N. Do,et al. Semantic Image Inpainting with Deep Generative Models , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[34] Andrea Vedaldi,et al. Texture Networks: Feed-forward Synthesis of Textures and Stylized Images , 2016, ICML.
[35] Yoshua Bengio,et al. Generative Adversarial Nets , 2014, NIPS.
[36] Sebastian Nowozin,et al. Which Training Methods for GANs do actually Converge? , 2018, ICML.
[37] Gregory Shakhnarovich,et al. Style Transfer by Relaxed Optimal Transport and Self-Similarity , 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[38] Serge J. Belongie,et al. Arbitrary Style Transfer in Real-Time with Adaptive Instance Normalization , 2017, 2017 IEEE International Conference on Computer Vision (ICCV).
[39] Ali Ahmed,et al. Blind Image Deconvolution Using Deep Generative Priors , 2018, IEEE Transactions on Computational Imaging.
[40] Alexei A. Efros,et al. Image-to-Image Translation with Conditional Adversarial Networks , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[41] Béla Julesz,et al. Visual Pattern Discrimination , 1962, IRE Trans. Inf. Theory.
[42] 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).
[43] Jaakko Lehtinen,et al. Few-Shot Unsupervised Image-to-Image Translation , 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).
[44] Andrew Owens,et al. Fighting Fake News: Image Splice Detection via Learned Self-Consistency , 2018, ECCV.
[45] Hao Li,et al. High-Resolution Image Inpainting Using Multi-scale Neural Patch Synthesis , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[46] Fisher Yu,et al. Scribbler: Controlling Deep Image Synthesis with Sketch and Color , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[47] Jeff Donahue,et al. Large Scale GAN Training for High Fidelity Natural Image Synthesis , 2018, ICLR.
[48] Tali Dekel,et al. SinGAN: Learning a Generative Model From a Single Natural Image , 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).
[49] Andriy Mnih,et al. Disentangling by Factorising , 2018, ICML.
[50] Peter Wonka,et al. Image2StyleGAN: How to Embed Images Into the StyleGAN Latent Space? , 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).
[51] Thomas S. Huang,et al. Generative Image Inpainting with Contextual Attention , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[52] Maneesh Kumar Singh,et al. Disentangling Factors of Variation with Cycle-Consistent Variational Auto-Encoders , 2018, ECCV.
[53] B. Julesz. Textons, the elements of texture perception, and their interactions , 1981, Nature.
[54] Jaakko Lehtinen,et al. Progressive Growing of GANs for Improved Quality, Stability, and Variation , 2017, ICLR.
[55] Sergey Ioffe,et al. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift , 2015, ICML.
[56] Yinda Zhang,et al. LSUN: Construction of a Large-scale Image Dataset using Deep Learning with Humans in the Loop , 2015, ArXiv.
[57] Leon A. Gatys,et al. Image Style Transfer Using Convolutional Neural Networks , 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[58] Jaakko Lehtinen,et al. GANSpace: Discovering Interpretable GAN Controls , 2020, NeurIPS.
[59] Seunghoon Hong,et al. Learning Hierarchical Semantic Image Manipulation through Structured Representations , 2018, NeurIPS.
[60] Björn Ommer,et al. Content and Style Disentanglement for Artistic Style Transfer , 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).
[61] Phillip Isola,et al. On the "steerability" of generative adversarial networks , 2019, ICLR.
[62] Jian Sun,et al. Deep Residual Learning for Image Recognition , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[63] Leon A. Gatys,et al. Texture Synthesis Using Convolutional Neural Networks , 2015, NIPS.
[64] Bolei Zhou,et al. GAN Dissection: Visualizing and Understanding Generative Adversarial Networks , 2018, ICLR.
[65] Sylvain Paris,et al. Deep Photo Style Transfer , 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[66] Max Welling,et al. Auto-Encoding Variational Bayes , 2013, ICLR.
[67] Subhransu Maji,et al. Visualizing and Understanding Deep Texture Representations , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[68] Xiaogang Wang,et al. Deep Learning Face Attributes in the Wild , 2014, 2015 IEEE International Conference on Computer Vision (ICCV).
[69] Jung-Woo Ha,et al. StarGAN v2: Diverse Image Synthesis for Multiple Domains , 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[70] Nenghai Yu,et al. StyleBank: An Explicit Representation for Neural Image Style Transfer , 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[71] Dongdong Chen,et al. Deep exemplar-based colorization , 2018, ACM Trans. Graph..
[72] Matthias Zwicker,et al. Faceshop , 2018, ACM Trans. Graph..
[73] Andrew Owens,et al. CNN-Generated Images Are Surprisingly Easy to Spot… for Now , 2019, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[74] Stanislav Pidhorskyi,et al. Adversarial Latent Autoencoders , 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[75] Hiroshi Ishikawa,et al. Globally and locally consistent image completion , 2017, ACM Trans. Graph..
[76] Jan Kautz,et al. Multimodal Unsupervised Image-to-Image Translation , 2018, ECCV.
[77] B Julesz,et al. Inability of Humans to Discriminate between Visual Textures That Agree in Second-Order Statistics—Revisited , 1973, Perception.
[78] Jung-Woo Ha,et al. Photorealistic Style Transfer via Wavelet Transforms , 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).
[79] Matthias Zwicker,et al. Disentangling Factors of Variation by Mixing Them , 2017, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[80] Xiaoming Yu,et al. Multi-mapping Image-to-Image Translation via Learning Disentanglement , 2019, NeurIPS.
[81] Michal Irani,et al. InGAN: Capturing and Retargeting the “DNA” of a Natural Image , 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).
[82] Alexei A. Efros,et al. Toward Multimodal Image-to-Image Translation , 2017, NIPS.
[83] Shai Bagon,et al. InGAN: Capturing and Remapping the "DNA" of a Natural Image , 2018 .
[84] Taesung Park,et al. Semantic Image Synthesis With Spatially-Adaptive Normalization , 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[85] Nasser M. Nasrabadi,et al. Style and Content Disentanglement in Generative Adversarial Networks , 2018, 2019 IEEE Winter Conference on Applications of Computer Vision (WACV).
[86] Samy Bengio,et al. Density estimation using Real NVP , 2016, ICLR.
[87] Alexei A. Efros,et al. Generative Visual Manipulation on the Natural Image Manifold , 2016, ECCV.
[88] Bolei Zhou,et al. Semantic photo manipulation with a generative image prior , 2019, ACM Trans. Graph..
[89] Pieter Abbeel,et al. InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets , 2016, NIPS.
[90] Simon Osindero,et al. Conditional Generative Adversarial Nets , 2014, ArXiv.
[91] 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.
[92] Jiebo Luo,et al. Exploring Explicit Domain Supervision for Latent Space Disentanglement in Unpaired Image-to-Image Translation , 2019, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[93] Geoffrey E. Hinton,et al. Reducing the Dimensionality of Data with Neural Networks , 2006, Science.
[94] Aykut Erdem,et al. Manipulating Attributes of Natural Scenes via Hallucination , 2018, ACM Trans. Graph..
[95] Christian Wolf,et al. Interactive example-based terrain authoring with conditional generative adversarial networks , 2017, ACM Trans. Graph..
[96] Joshua B. Tenenbaum,et al. Separating Style and Content with Bilinear Models , 2000, Neural Computation.
[97] Jimmy Ba,et al. Adam: A Method for Stochastic Optimization , 2014, ICLR.
[98] Thomas Brox,et al. Generating Images with Perceptual Similarity Metrics based on Deep Networks , 2016, NIPS.