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David J. Fleet | Mohammad Norouzi | William Chan | Tim Salimans | Chitwan Saharia | Jonathan Ho | David J. Fleet | Tim Salimans | Mohammad Norouzi | Jonathan Ho | William Chan | Chitwan Saharia
[1] Stefano Ermon,et al. Improved Techniques for Training Score-Based Generative Models , 2020, NeurIPS.
[2] 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).
[3] Yang Song,et al. Generative Modeling by Estimating Gradients of the Data Distribution , 2019, NeurIPS.
[4] Heiga Zen,et al. WaveNet: A Generative Model for Raw Audio , 2016, SSW.
[5] Alexei A. Efros,et al. Colorful Image Colorization , 2016, ECCV.
[6] Yun Fu,et al. Image Super-Resolution Using Very Deep Residual Channel Attention Networks , 2018, ECCV.
[7] Mohammad Norouzi,et al. Pixel Recursive Super Resolution , 2017, 2017 IEEE International Conference on Computer Vision (ICCV).
[8] Shakir Mohamed,et al. Variational Inference with Normalizing Flows , 2015, ICML.
[9] Samy Bengio,et al. Density estimation using Real NVP , 2016, ICLR.
[10] Bernhard Schölkopf,et al. EnhanceNet: Single Image Super-Resolution Through Automated Texture Synthesis , 2016, 2017 IEEE International Conference on Computer Vision (ICCV).
[11] Koray Kavukcuoglu,et al. Pixel Recurrent Neural Networks , 2016, ICML.
[12] Thomas S. Huang,et al. Deep Networks for Image Super-Resolution with Sparse Prior , 2015, 2015 IEEE International Conference on Computer Vision (ICCV).
[13] Heiga Zen,et al. WaveGrad: Estimating Gradients for Waveform Generation , 2021, ICLR.
[14] Bodo Rosenhahn,et al. PSyCo: Manifold Span Reduction for Super Resolution , 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[15] Pascal Vincent,et al. A Connection Between Score Matching and Denoising Autoencoders , 2011, Neural Computation.
[16] Dustin Tran,et al. Image Transformer , 2018, ICML.
[17] Eero P. Simoncelli,et al. Least Squares Estimation Without Priors or Supervision , 2011, Neural Computation.
[18] Rob Fergus,et al. Deep Generative Image Models using a Laplacian Pyramid of Adversarial Networks , 2015, NIPS.
[19] Quoc V. Le,et al. Sequence to Sequence Learning with Neural Networks , 2014, NIPS.
[20] Aapo Hyvärinen,et al. Estimation of Non-Normalized Statistical Models by Score Matching , 2005, J. Mach. Learn. Res..
[21] Noah Snavely,et al. Learning Gradient Fields for Shape Generation , 2020, ECCV.
[22] Prafulla Dhariwal,et al. Improved Denoising Diffusion Probabilistic Models , 2021, ICML.
[23] 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).
[24] 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.
[25] David Pfau,et al. Unrolled Generative Adversarial Networks , 2016, ICLR.
[26] David Berthelot,et al. Creating High Resolution Images with a Latent Adversarial Generator , 2020, ArXiv.
[27] Pieter Abbeel,et al. Denoising Diffusion Probabilistic Models , 2020, NeurIPS.
[28] Xiaoou Tang,et al. Accelerating the Super-Resolution Convolutional Neural Network , 2016, ECCV.
[29] Lukasz Kaiser,et al. Attention is All you Need , 2017, NIPS.
[30] Jan Kautz,et al. NVAE: A Deep Hierarchical Variational Autoencoder , 2020, NeurIPS.
[31] Jaakko Lehtinen,et al. Progressive Growing of GANs for Improved Quality, Stability, and Variation , 2017, ICLR.
[32] Soumith Chintala,et al. Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks , 2015, ICLR.
[33] Bernhard Schölkopf,et al. Deep Energy Estimator Networks , 2018, ArXiv.
[34] Xi Chen,et al. PixelCNN++: Improving the PixelCNN with Discretized Logistic Mixture Likelihood and Other Modifications , 2017, ICLR.
[35] Daan Wierstra,et al. Stochastic Backpropagation and Approximate Inference in Deep Generative Models , 2014, ICML.
[36] Nal Kalchbrenner,et al. Generating High Fidelity Images with Subscale Pixel Networks and Multidimensional Upscaling , 2018, ICLR.
[37] Xiaoou Tang,et al. Learning a Deep Convolutional Network for Image Super-Resolution , 2014, ECCV.
[38] Thomas Brox,et al. U-Net: Convolutional Networks for Biomedical Image Segmentation , 2015, MICCAI.
[39] Kyung-Ah Sohn,et al. Image Super-Resolution via Progressive Cascading Residual Network , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).
[40] Cynthia Rudin,et al. PULSE: Self-Supervised Photo Upsampling via Latent Space Exploration of Generative Models , 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[41] Aaron C. Courville,et al. FiLM: Visual Reasoning with a General Conditioning Layer , 2017, AAAI.
[42] Eero P. Simoncelli,et al. Image quality assessment: from error visibility to structural similarity , 2004, IEEE Transactions on Image Processing.
[43] Jeff Donahue,et al. Large Scale GAN Training for High Fidelity Natural Image Synthesis , 2018, ICLR.
[44] Michael S. Bernstein,et al. ImageNet Large Scale Visual Recognition Challenge , 2014, International Journal of Computer Vision.
[45] Jian Sun,et al. Deep Residual Learning for Image Recognition , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[46] Jian Yang,et al. Image Super-Resolution via Deep Recursive Residual Network , 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[47] Suman V. Ravuri,et al. Classification Accuracy Score for Conditional Generative Models , 2019, NeurIPS.
[48] Max Welling,et al. Auto-Encoding Variational Bayes , 2013, ICLR.
[49] Wen Gao,et al. HiFaceGAN: Face Renovation via Collaborative Suppression and Replenishment , 2020, ACM Multimedia.
[50] Prafulla Dhariwal,et al. Glow: Generative Flow with Invertible 1x1 Convolutions , 2018, NeurIPS.
[51] Alex Graves,et al. Conditional Image Generation with PixelCNN Decoders , 2016, NIPS.
[52] Ali Razavi,et al. Generating Diverse High-Fidelity Images with VQ-VAE-2 , 2019, NeurIPS.
[53] Xiaoou Tang,et al. Image Super-Resolution Using Deep Convolutional Networks , 2014, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[54] Surya Ganguli,et al. Deep Unsupervised Learning using Nonequilibrium Thermodynamics , 2015, ICML.
[55] Rafal Mantiuk,et al. Comparison of Four Subjective Methods for Image Quality Assessment , 2012, Comput. Graph. Forum.
[56] Aaron C. Courville,et al. Improved Training of Wasserstein GANs , 2017, NIPS.
[57] Abhishek Kumar,et al. Score-Based Generative Modeling through Stochastic Differential Equations , 2020, ICLR.
[58] Konstantinos G. Derpanis,et al. Wavelet Flow: Fast Training of High Resolution Normalizing Flows , 2020, NeurIPS.