Generative Adversarial Networks and Other Generative Models

8 July 2022

Papers citing "Generative Adversarial Networks and Other Generative Models"

37 / 37 papers shown

Title
Generative Adversarial Networks Gilad Cohen Raja Giryes GAN 298 30,150 0 01 Mar 2022
StyleSwin: Transformer-based GAN for High-resolution Image Generation Bo Zhang Shuyang Gu Bo Zhang Jianmin Bao Dong Chen Fang Wen Yong Wang B. Guo ViT 77 229 0 20 Dec 2021
Exploring the Asynchronous of the Frequency Spectra of GAN-generated Facial Images B. Le Simon S. Woo CVBM 50 13 0 15 Dec 2021
Autoregressive Diffusion Models Emiel Hoogeboom Alexey A. Gritsenko Jasmijn Bastings Ben Poole Rianne van den Berg Tim Salimans DiffM 90 155 0 05 Oct 2021
Diffusion Models Beat GANs on Image Synthesis Prafulla Dhariwal Alex Nichol 268 7,938 0 11 May 2021
Learning Transferable Visual Models From Natural Language Supervision Alec Radford Jong Wook Kim Chris Hallacy Aditya A. Ramesh Gabriel Goh ... Amanda Askell Pamela Mishkin Jack Clark Gretchen Krueger Ilya Sutskever CLIP VLM 969 29,810 0 26 Feb 2021
Improved Denoising Diffusion Probabilistic Models Alex Nichol Prafulla Dhariwal DiffM 352 3,716 0 18 Feb 2021
Towards Faster and Stabilized GAN Training for High-fidelity Few-shot Image Synthesis Bingchen Liu Yizhe Zhu Kunpeng Song Ahmed Elgammal 229 239 0 12 Jan 2021
Taming Transformers for High-Resolution Image Synthesis Patrick Esser Robin Rombach Bjorn Ommer ViT 131 2,999 0 17 Dec 2020
StyleFlow: Attribute-conditioned Exploration of StyleGAN-Generated Images using Conditional Continuous Normalizing Flows Rameen Abdal Peihao Zhu Niloy Mitra Peter Wonka 86 534 0 06 Aug 2020
Detection, Attribution and Localization of GAN Generated Images Michael Goebel L. Nataraj Tejaswi Nanjundaswamy Tajuddin Manhar Mohammed S. Chandrasekaran B. S. Manjunath GAN 62 37 0 20 Jul 2020
Denoising Diffusion Probabilistic Models Jonathan Ho Ajay Jain Pieter Abbeel DiffM 709 18,310 0 19 Jun 2020
Bayesian Conditional GAN for MRI Brain Image Synthesis Gengyan Zhao M. Meyerand R. Birn MedIm UQCV 46 4 0 25 May 2020
Vox2Vox: 3D-GAN for Brain Tumour Segmentation M. Cirillo David Abramian Anders Eklund 57 111 0 19 Mar 2020
Analyzing and Improving the Image Quality of StyleGAN Tero Karras S. Laine M. Aittala Janne Hellsten J. Lehtinen Timo Aila GAN 319 5,828 0 03 Dec 2019
Generative Modeling by Estimating Gradients of the Data Distribution Yang Song Stefano Ermon SyDa DiffM 258 3,956 0 12 Jul 2019
Sliced Score Matching: A Scalable Approach to Density and Score Estimation Yang Song Sahaj Garg Jiaxin Shi Stefano Ermon 117 418 0 17 May 2019
From GAN to WGAN Lilian Weng GAN 47 110 0 18 Apr 2019
Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge Spyridon Bakas M. Reyes Andras Jakab Stefan Bauer Markus Rempfler ... Jayashree Kalpathy-Cramer Keyvan Farahani Christos Davatzikos Koen van Leemput Bjoern Menze 136 1,638 0 05 Nov 2018
Glow: Generative Flow with Invertible 1x1 Convolutions Diederik P. Kingma Prafulla Dhariwal BDL DRL 303 3,141 0 09 Jul 2018
Augmented CycleGAN: Learning Many-to-Many Mappings from Unpaired Data Amjad Almahairi Sai Rajeswar Alessandro Sordoni Philip Bachman Aaron Courville GAN 66 423 0 27 Feb 2018
Translating and Segmenting Multimodal Medical Volumes with Cycle- and Shape-Consistency Generative Adversarial Network Zizhao Zhang Ling Yang Yefeng Zheng MedIm 127 378 0 27 Feb 2018
Adversarial Synthesis Learning Enables Segmentation Without Target Modality Ground Truth Yuankai Huo Zhoubing Xu Shunxing Bao A. Assad R. Abramson Bennett A. Landman GAN MedIm 74 146 0 20 Dec 2017
CycleGAN, a Master of Steganography Casey Chu A. Zhmoginov Mark Sandler GAN 64 213 0 08 Dec 2017
Visual Feature Attribution using Wasserstein GANs Christian F. Baumgartner Lisa M. Koch K. Tezcan Jia Xi Ang E. Konukoglu GAN MedIm 84 144 0 24 Nov 2017
CyCADA: Cycle-Consistent Adversarial Domain Adaptation Judy Hoffman Eric Tzeng Taesung Park Jun-Yan Zhu Phillip Isola Kate Saenko Alexei A. Efros Trevor Darrell 147 3,005 0 08 Nov 2017
Neural Discrete Representation Learning Aaron van den Oord Oriol Vinyals Koray Kavukcuoglu BDL SSL OCL 230 5,071 0 02 Nov 2017
Generative Adversarial Networks: An Overview Antonia Creswell Tom White Vincent Dumoulin Kai Arulkumaran B. Sengupta Anil A Bharath GAN 118 3,059 0 19 Oct 2017
Improved Training of Wasserstein GANs Ishaan Gulrajani Faruk Ahmed Martín Arjovsky Vincent Dumoulin Aaron Courville GAN 227 9,560 0 31 Mar 2017
Towards Principled Methods for Training Generative Adversarial Networks Martín Arjovsky M. Nault GAN 83 2,112 0 17 Jan 2017
Image-to-Image Translation with Conditional Adversarial Networks Phillip Isola Jun-Yan Zhu Tinghui Zhou Alexei A. Efros SSeg 331 19,690 0 21 Nov 2016
Conditional Image Generation with PixelCNN Decoders Aaron van den Oord Nal Kalchbrenner Oriol Vinyals L. Espeholt Alex Graves Koray Kavukcuoglu VLM 214 2,517 0 16 Jun 2016
Faster Eigenvector Computation via Shift-and-Invert Preconditioning Dan Garber Laurent Dinh Chi Jin Jascha Narain Sohl-Dickstein Samy Bengio Praneeth Netrapalli Aaron Sidford 277 3,719 0 26 May 2016
Pixel Recurrent Neural Networks Aaron van den Oord Nal Kalchbrenner Koray Kavukcuoglu SSeg GAN 486 2,577 0 25 Jan 2016
Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks Alec Radford Luke Metz Soumith Chintala GAN OOD 271 14,023 0 19 Nov 2015
A note on the evaluation of generative models Lucas Theis Aaron van den Oord Matthias Bethge EGVM 140 1,146 0 05 Nov 2015
Variational Inference with Normalizing Flows Danilo Jimenez Rezende S. Mohamed DRL BDL 322 4,196 0 21 May 2015