暂无分享,去创建一个
Bo Dai | Chen Change Loy | Wayne Wu | Liming Jiang | Bo Dai | Wayne Wu | Liming Jiang
[1] Wojciech Zaremba,et al. Improved Techniques for Training GANs , 2016, NIPS.
[2] Xiaogang Wang,et al. Learning to Predict Layout-to-image Conditional Convolutions for Semantic Image Synthesis , 2019, NeurIPS.
[3] Andrew Zisserman,et al. Very Deep Convolutional Networks for Large-Scale Image Recognition , 2014, ICLR.
[4] Vladlen Koltun,et al. Semi-Parametric Image Synthesis , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[5] Jung-Woo Ha,et al. StarGAN: Unified Generative Adversarial Networks for Multi-domain Image-to-Image Translation , 2017, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[6] Taesung Park,et al. Semantic Image Synthesis With Spatially-Adaptive Normalization , 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[7] Geoffrey E. Hinton,et al. Reducing the Dimensionality of Data with Neural Networks , 2006, Science.
[8] Thomas Brox,et al. U-Net: Convolutional Networks for Biomedical Image Segmentation , 2015, MICCAI.
[9] Eric P. Xing,et al. High-Frequency Component Helps Explain the Generalization of Convolutional Neural Networks , 2019, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[10] Jian Sun,et al. Deep Residual Learning for Image Recognition , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[11] Ross B. Girshick,et al. Focal Loss for Dense Object Detection , 2017, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[12] Polina Golland,et al. Joint Frequency- and Image-Space Learning for Fourier Imaging , 2020, ArXiv.
[13] Jason Yosinski,et al. Faster Neural Networks Straight from JPEG , 2018, NeurIPS.
[14] Yixin Chen,et al. Compressing Convolutional Neural Networks in the Frequency Domain , 2015, KDD.
[15] Radim Sára,et al. Spatial Pattern Templates for Recognition of Objects with Regular Structure , 2013, GCPR.
[16] Abhinav Gupta,et al. Training Region-Based Object Detectors with Online Hard Example Mining , 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[17] David D. Cox,et al. not-so-BigGAN: Generating High-Fidelity Images on a Small Compute Budget , 2020, ArXiv.
[18] Dorothea Kolossa,et al. Leveraging Frequency Analysis for Deep Fake Image Recognition , 2020, ICML.
[19] Alex Graves,et al. Conditional Image Generation with PixelCNN Decoders , 2016, NIPS.
[20] 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).
[21] Bolei Zhou,et al. Scene Parsing through ADE20K Dataset , 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[22] Jonathan T. Barron,et al. NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis , 2020, ECCV.
[23] Prafulla Dhariwal,et al. Glow: Generative Flow with Invertible 1x1 Convolutions , 2018, NeurIPS.
[24] Jung-Woo Ha,et al. Photorealistic Style Transfer via Wavelet Transforms , 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).
[25] Han Zhang,et al. Self-Attention Generative Adversarial Networks , 2018, ICML.
[26] Alexei A. Efros,et al. Image-to-Image Translation with Conditional Adversarial Networks , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[27] Max Welling,et al. Auto-Encoding Variational Bayes , 2013, ICLR.
[28] Shuhang Gu,et al. Unsupervised Real-world Image Super Resolution via Domain-distance Aware Training , 2020, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[29] Simon Osindero,et al. Conditional Generative Adversarial Nets , 2014, ArXiv.
[30] Jaakko Lehtinen,et al. Analyzing and Improving the Image Quality of StyleGAN , 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[31] Radu Timofte,et al. Frequency Separation for Real-World Super-Resolution , 2019, 2019 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW).
[32] Chen Change Loy,et al. DeeperForensics-1.0: A Large-Scale Dataset for Real-World Face Forgery Detection , 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[33] Chunxiao Liu,et al. TSIT: A Simple and Versatile Framework for Image-to-Image Translation , 2020, ECCV.
[34] Zheng Ma,et al. Frequency Principle: Fourier Analysis Sheds Light on Deep Neural Networks , 2019, Communications in Computational Physics.
[35] Lukasz Kaiser,et al. Attention is All you Need , 2017, NIPS.
[36] Jan Kautz,et al. Multimodal Unsupervised Image-to-Image Translation , 2018, ECCV.
[37] Jan Kautz,et al. Unsupervised Image-to-Image Translation Networks , 2017, NIPS.
[38] Xiaogang Wang,et al. Deep Learning Face Attributes in the Wild , 2014, 2015 IEEE International Conference on Computer Vision (ICCV).
[39] 拓海 杉山,et al. “Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks”の学習報告 , 2017 .
[40] Andrea Vedaldi,et al. Instance Normalization: The Missing Ingredient for Fast Stylization , 2016, ArXiv.
[41] Kaiming He,et al. Focal Loss for Dense Object Detection , 2017, 2017 IEEE International Conference on Computer Vision (ICCV).
[42] Jimmy Ba,et al. Adam: A Method for Stochastic Optimization , 2014, ICLR.
[43] Dacheng Tao,et al. Packing Convolutional Neural Networks in the Frequency Domain , 2016, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[44] Tie-Yan Liu,et al. Invertible Image Rescaling , 2020, ECCV.
[45] Max Welling,et al. Semi-supervised Learning with Deep Generative Models , 2014, NIPS.
[46] Iasonas Kokkinos,et al. Describing Textures in the Wild , 2013, 2014 IEEE Conference on Computer Vision and Pattern Recognition.
[47] Sepp Hochreiter,et al. GANs Trained by a Two Time-Scale Update Rule Converge to a Local Nash Equilibrium , 2017, NIPS.
[48] Vincent Dumoulin,et al. Deconvolution and Checkerboard Artifacts , 2016 .
[49] 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.
[50] Sebastian Ramos,et al. The Cityscapes Dataset for Semantic Urban Scene Understanding , 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[51] Yuichi Yoshida,et al. Spectral Normalization for Generative Adversarial Networks , 2018, ICLR.
[52] Jaakko Lehtinen,et al. Progressive Growing of GANs for Improved Quality, Stability, and Variation , 2017, ICLR.
[53] Eero P. Simoncelli,et al. Image quality assessment: from error visibility to structural similarity , 2004, IEEE Transactions on Image Processing.
[54] Kai Xu,et al. Learning in the Frequency Domain , 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[55] Kristen Grauman,et al. Fine-Grained Visual Comparisons with Local Learning , 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.
[56] David A. McAllester,et al. Object Detection with Discriminatively Trained Part Based Models , 2010, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[57] Xu Zhang,et al. Detecting and Simulating Artifacts in GAN Fake Images , 2019, 2019 IEEE International Workshop on Information Forensics and Security (WIFS).
[58] Soumith Chintala,et al. Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks , 2015, ICLR.
[59] A. Levinskis,et al. Convolutional Neural Network Feature Reduction using Wavelet Transform , 2013 .
[60] Jeff Donahue,et al. Large Scale GAN Training for High Fidelity Natural Image Synthesis , 2018, ICLR.
[61] Yoshua Bengio,et al. Generative Adversarial Nets , 2014, NIPS.
[62] Lei Ma,et al. FakeRetouch: Evading DeepFakes Detection via the Guidance of Deliberate Noise , 2020, ArXiv.
[63] 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.
[64] 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).
[65] Yuning Jiang,et al. Unified Perceptual Parsing for Scene Understanding , 2018, ECCV.
[66] Thomas A. Funkhouser,et al. Dilated Residual Networks , 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[67] Stanislav Pidhorskyi,et al. Adversarial Latent Autoencoders , 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[68] Sergey Ioffe,et al. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift , 2015, ICML.
[69] Yoshua Bengio,et al. On the Spectral Bias of Neural Networks , 2018, ICML.
[70] Jonathan T. Barron,et al. Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domains , 2020, NeurIPS.
[71] Vladlen Koltun,et al. Photographic Image Synthesis with Cascaded Refinement Networks , 2017, 2017 IEEE International Conference on Computer Vision (ICCV).
[72] Li Fei-Fei,et al. Perceptual Losses for Real-Time Style Transfer and Super-Resolution , 2016, ECCV.