2021年6月100篇GAN/对抗论文汇总

ゝ一纸荒年。 2022-10-18 12:49 167阅读 0赞

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[**超100篇！CVPR 2020最全GAN论文梳理！**][100_CVPR 2020_GAN]**  **

**[2021年5月80篇GAN/对抗论文汇总][2021_5_80_GAN]**

**[2021年4月90篇GAN/对抗论文汇总][2021_4_90_GAN]**

**[2021年3月87篇GAN/对抗论文汇总][2021_3_87_GAN]**

**[2021年2月70篇GAN/对抗论文汇总][2021_2_70_GAN]**

**[2021年1月50篇GAN/对抗论文汇总][2021_1_50_GAN]**

**[2020年12月100篇GAN/对抗论文汇总][2020_12_100_GAN]**

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**[2020年10月80篇GAN/对抗论文汇总][2020_10_80_GAN]**

**[2020年9月70篇GAN/对抗论文汇总][2020_9_70_GAN]**

[**2020年8月60篇GAN/对抗论文汇总**][2020_8_60_GAN]

[**2020年7月90篇GAN论文汇总**][2020_7_90_GAN]

**[2020年6月100篇最新GAN论文汇总][2020_6_100_GAN]**

**[2020年5月60篇GAN论文汇总][2020_5_60_GAN]**

**[2020年4月份70多篇GAN论文！][2020_4_70_GAN]**

[**2020年3月至今90多篇GAN论文！**][2020_3_90_GAN]

[**2020年2月50多篇GAN论文！**][2020_2_50_GAN]

**[2020年1月部分GAN论文清单][2020_1_GAN] **

001  (2021-07-6) DTGAN  Differential Private Training for Tabular GANs

https://arxiv.org/pdf/2107.02521.pdf

002  (2021-07-4) Auxiliary-Classifier GAN for Malware Analysis

https://arxiv.org/pdf/2107.01620.pdf

003  (2021-07-4) Certifiably Robust Interpretation via Renyi Differential Privacy

https://arxiv.org/pdf/2107.01561.pdf

004  (2021-07-2) SPI-GAN  Towards Single-Pixel Imaging through Generative Adversarial Network

https://arxiv.org/pdf/2107.01330.pdf

005  (2021-07-1) Passing a Non-verbal Turing Test  Evaluating Gesture Animations Generated from Speech

https://arxiv.org/pdf/2107.00712.pdf

006  (2021-07-1) Reparameterized Sampling for Generative Adversarial Networks

https://arxiv.org/pdf/2107.00352.pdf

007  (2021-06-30) One-class Steel Detector Using Patch GAN Discriminator for Visualising Anomalous Feature Map

https://arxiv.org/pdf/2107.00143.pdf

008  (2021-06-30) A Survey on Adversarial Image Synthesis

https://arxiv.org/pdf/2106.16056.pdf

009  (2021-06-30) ResViT  Residual vision transformers for multi-modal medical image synthesis

https://arxiv.org/pdf/2106.16031.pdf

010  (2021-06-30) Mutual-GAN  Towards Unsupervised Cross-Weather Adaptation with Mutual Information Constraint

https://arxiv.org/pdf/2106.16000.pdf

011  (2021-06-29) A Mixed-Supervision Multilevel GAN Framework for Image Quality Enhancement

https://arxiv.org/pdf/2106.15575.pdf

012  (2021-07-2) Uncertainty-Guided Progressive GANs for Medical Image Translation

https://arxiv.org/pdf/2106.15542.pdf

013  (2021-06-29) Spiking-GAN  A Spiking Generative Adversarial Network Using Time-To-First-Spike Coding

https://arxiv.org/pdf/2106.15420.pdf

014  (2021-06-28) Are conditional GANs explicitly conditional

https://arxiv.org/pdf/2106.15011.pdf

015  (2021-06-24) GAN-MDF  A Method for Multi-fidelity Data Fusion in Digital Twins

https://arxiv.org/pdf/2106.14655.pdf

016  (2021-07-2) Non-Exhaustive Learning Using Gaussian Mixture Generative Adversarial Networks

https://arxiv.org/pdf/2106.14344.pdf

017  (2021-06-27) Learning stochastic object models from medical imaging measurements by use of advanced AmbientGANs

https://arxiv.org/pdf/2106.14324.pdf

018  (2021-06-27) AI based Presentation Creator With Customized Audio Content Delivery

https://arxiv.org/pdf/2106.14213.pdf

019  (2021-06-25) Fostering Diversity in Spatial Evolutionary Generative Adversarial Networks

https://arxiv.org/pdf/2106.13590.pdf

020  (2021-06-25) Basis-MelGAN  Efficient Neural Vocoder Based on Audio Decomposition

https://arxiv.org/pdf/2106.13419.pdf

021  (2021-06-24) Unsupervised Learning of Depth and Depth-of-Field Effect from Natural Images with Aperture Rendering Generative Adversarial Networks

https://arxiv.org/pdf/2106.13041.pdf

022  (2021-06-19) A Stealthy and Robust Fingerprinting Scheme for Generative Models

https://arxiv.org/pdf/2106.11760.pdf

023  (2021-06-22) Particle Cloud Generation with Message Passing Generative Adversarial Networks

https://arxiv.org/pdf/2106.11535.pdf

024  (2021-06-21) FDeblur-GAN  Fingerprint Deblurring using Generative Adversarial Network

https://arxiv.org/pdf/2106.11354.pdf

025  (2021-06-18) World-GAN  a Generative Model for Minecraft Worlds

https://arxiv.org/pdf/2106.10155.pdf

026  (2021-06-18) Novelty Detection via Contrastive Learning with Negative Data Augmentation

https://arxiv.org/pdf/2106.09958.pdf

027  (2021-06-18) Evolving GANs  When Contradictions Turn into Compliance

https://arxiv.org/pdf/2106.09946.pdf

028  (2021-06-18) A Unified Generative Adversarial Network Training via Self-Labeling and Self-Attention

https://arxiv.org/pdf/2106.09914.pdf

029  (2021-06-17) Deep HDR Hallucination for Inverse Tone Mapping

https://arxiv.org/pdf/2106.09486.pdf

030  (2021-06-17) Class Balancing GAN with a Classifier in the Loop

https://arxiv.org/pdf/2106.09402.pdf

031  (2021-07-1) A Simple Generative Network

https://arxiv.org/pdf/2106.09330.pdf

032  (2021-06-16) A Flow-Based Neural Network for Time Domain Speech Enhancement

https://arxiv.org/pdf/2106.09008.pdf

033  (2021-06-26) Enriching Source Style Transfer in Recognition-Synthesis based Non-Parallel Voice Conversion

https://arxiv.org/pdf/2106.08741.pdf

034  (2021-06-16) Disentangling Semantic-to-visual Confusion for Zero-shot Learning

https://arxiv.org/pdf/2106.08605.pdf

035  (2021-06-16) Self-supervised GANs with Label Augmentation

https://arxiv.org/pdf/2106.08601.pdf

036  (2021-06-16) Compound Frechet Inception Distance for Quality Assessment of GAN Created Images

https://arxiv.org/pdf/2106.08575.pdf

037  (2021-06-16) Unsupervised-learning-based method for chest MRI-CT transformation using structure constrained unsupervised generative attention networks

https://arxiv.org/pdf/2106.08557.pdf

038  (2021-06-15) Dynamically Grown Generative Adversarial Networks

https://arxiv.org/pdf/2106.08505.pdf

039  (2021-06-15) Decentralized Local Stochastic Extra-Gradient for Variational Inequalities

https://arxiv.org/pdf/2106.08315.pdf

040  (2021-06-15) Perceptually-inspired super-resolution of compressed videos

https://arxiv.org/pdf/2106.08147.pdf

041  (2021-06-15) Detect and remove watermark in deep neural networks via generative adversarial networks

https://arxiv.org/pdf/2106.08104.pdf

042  (2021-06-14) Improved Transformer for High-Resolution GANs

https://arxiv.org/pdf/2106.07631.pdf

043  (2021-06-14) More Real than Real  A Study on Human Visual Perception of Synthetic Faces

https://arxiv.org/pdf/2106.07226.pdf

044  (2021-07-4) Styleformer  Transformer based Generative Adversarial Networks with Style Vector

https://arxiv.org/pdf/2106.07023.pdf

045  (2021-06-13) Generation of the NIR spectral Band for Satellite Images with Convolutional Neural Networks

https://arxiv.org/pdf/2106.07020.pdf

046  (2021-06-15) Game of GANs  Game Theoretical Models for Generative Adversarial Networks

https://arxiv.org/pdf/2106.06976.pdf

047  (2021-06-13) Do Not Escape From the Manifold  Discovering the Local Coordinates on the Latent Space of GANs

https://arxiv.org/pdf/2106.06959.pdf

048  (2021-06-13) Multi-modal Scene-compliant User Intention Estimation for Navigation

https://arxiv.org/pdf/2106.06920.pdf

049  (2021-06-12) A One-Shot Texture-Perceiving Generative Adversarial Network for Unsupervised Surface Inspection

https://arxiv.org/pdf/2106.06792.pdf

050  (2021-07-6) Generative Adversarial Networks in finance  an overview

https://arxiv.org/pdf/2106.06364.pdf

051  (2021-06-11) ViT-Inception-GAN for Image Colourising

https://arxiv.org/pdf/2106.06321.pdf

052  (2021-06-28) A Decentralized Adaptive Momentum Method for Solving a Class of Min-Max Optimization Problems

https://arxiv.org/pdf/2106.06075.pdf

053  (2021-06-10) A self-adapting super-resolution structures framework for automatic design of GAN

https://arxiv.org/pdf/2106.06011.pdf

054  (2021-06-7) Learning Functional Priors and Posteriors from Data and Physics

https://arxiv.org/pdf/2106.05863.pdf

055  (2021-06-10) Quantized Conditional COT-GAN for Video Prediction

https://arxiv.org/pdf/2106.05658.pdf

056  (2021-06-10) A Neural Tangent Kernel Perspective of GANs

https://arxiv.org/pdf/2106.05566.pdf

057  (2021-06-10) Super-Resolution Image Reconstruction Based on Self-Calibrated Convolutional GAN

https://arxiv.org/pdf/2106.05545.pdf

058  (2021-06-11) Adversarial Option-Aware Hierarchical Imitation Learning

https://arxiv.org/pdf/2106.05530.pdf

059  (2021-06-9) Match What Matters  Generative Implicit Feature Replay for Continual Learning

https://arxiv.org/pdf/2106.05350.pdf

060  (2021-06-9) Stein Latent Optimization for GANs

https://arxiv.org/pdf/2106.05319.pdf

061  (2021-06-9) A multi-stage GAN for multi-organ chest X-ray image generation and segmentation

https://arxiv.org/pdf/2106.05132.pdf

062  (2021-06-8) Data-Efficient Instance Generation from Instance Discrimination

https://arxiv.org/pdf/2106.04566.pdf

063  (2021-06-8) Low-Rank Subspaces in GANs

https://arxiv.org/pdf/2106.04488.pdf

064  (2021-06-16) A Synchronized Reprojection-based Model for 3D Human Pose Estimation

https://arxiv.org/pdf/2106.04274.pdf

065  (2021-06-8) On the use of automatically generated synthetic image datasets for benchmarking face recognition

https://arxiv.org/pdf/2106.04215.pdf

066  (2021-06-8) Seismic Inverse Modeling Method based on Generative Adversarial Network

https://arxiv.org/pdf/2106.04197.pdf

067  (2021-06-8) EnMcGAN  Adversarial Ensemble Learning for 3D Complete Renal Structures Segmentation

https://arxiv.org/pdf/2106.04130.pdf

068  (2021-06-7) Intrinsic Dimension Estimation

https://arxiv.org/pdf/2106.04018.pdf

069  (2021-06-7) Cosmic Voids in Generated N-body Simulations

https://arxiv.org/pdf/2106.04014.pdf

070  (2021-06-7) Double Descent and Other Interpolation Phenomena in GANs

https://arxiv.org/pdf/2106.04003.pdf

071  (2021-06-7) High Resolution Solar Image Generation using Generative Adversarial Networks

https://arxiv.org/pdf/2106.03814.pdf

072  (2021-06-7) Generative Adversarial Networks  A Survey Towards Private and Secure Applications

https://arxiv.org/pdf/2106.03785.pdf

073  (2021-06-1) Synthesis of standard 12-lead electrocardiograms using two dimensional generative adversarial network

https://arxiv.org/pdf/2106.03701.pdf

074  (2021-06-7) PcDGAN  A Continuous Conditional Diverse Generative Adversarial Network For Inverse Design

https://arxiv.org/pdf/2106.03620.pdf

075  (2021-06-7) Data Augmentation Methods for End-to-end Speech Recognition on Distant-Talk Scenarios

https://arxiv.org/pdf/2106.03419.pdf

076  (2021-06-14) Alpha Matte Generation from Single Input for Portrait Matting

https://arxiv.org/pdf/2106.03210.pdf

077  (2021-06-6) Using GANs to Augment Data for Cloud Image Segmentation Task

https://arxiv.org/pdf/2106.03064.pdf

078  (2021-06-4) On Perceptual Lossy Compression  The Cost of Perceptual Reconstruction and An Optimal Training Framework

https://arxiv.org/pdf/2106.02782.pdf

079  (2021-06-4) Forward Super-Resolution  How Can GANs Learn Hierarchical Generative Models for Real-World Distributions

https://arxiv.org/pdf/2106.02619.pdf

080  (2021-06-4) SOUP-GAN  Super-Resolution MRI Using Generative Adversarial Networks

https://arxiv.org/pdf/2106.02599.pdf

081  (2021-06-4) The Image Local Autoregressive Transformer

https://arxiv.org/pdf/2106.02514.pdf

082  (2021-06-4) F-Drop&Match  GANs with a Dead Zone in the High-Frequency Domain

https://arxiv.org/pdf/2106.02343.pdf

083  (2021-06-4) Temporally coherent video anonymization through GAN inpainting

https://arxiv.org/pdf/2106.02328.pdf

084  (2021-06-14) Fre-GAN  Adversarial Frequency-consistent Audio Synthesis

https://arxiv.org/pdf/2106.02297.pdf

085  (2021-06-3) CNNs and GANs in MRI-based cross-modality medical image estimation

https://arxiv.org/pdf/2106.02198.pdf

086  (2021-06-3) Pathology-Aware Generative Adversarial Networks for Medical Image Augmentation

https://arxiv.org/pdf/2106.01915.pdf

087  (2021-06-3) Semantic Palette  Guiding Scene Generation with Class Proportions

https://arxiv.org/pdf/2106.01629.pdf

088  (2021-06-3) Imperceptible Adversarial Examples for Fake Image Detection

https://arxiv.org/pdf/2106.01615.pdf

089  (2021-06-2) Minimax Optimization with Smooth Algorithmic Adversaries

https://arxiv.org/pdf/2106.01488.pdf

090  (2021-06-2) Sound-to-Imagination  Unsupervised Crossmodal Translation Using Deep Dense Network Architecture

https://arxiv.org/pdf/2106.01266.pdf

091  (2021-06-19) Towards Robustness of Text-to-SQL Models against Synonym Substitution

https://arxiv.org/pdf/2106.01065.pdf

092  (2021-06-1) IID-GAN  an IID Sampling Perspective for Regularizing Mode Collapse

https://arxiv.org/pdf/2106.00563.pdf

093  (2021-06-1) Adversarial VQA  A New Benchmark for Evaluating the Robustness of VQA Models

https://arxiv.org/pdf/2106.00245.pdf

094  (2021-05-31) GANs Can Play Lottery Tickets Too

https://arxiv.org/pdf/2106.00134.pdf

095  (2021-05-31) StarGAN-ZSVC  Towards Zero-Shot Voice Conversion in Low-Resource Contexts

https://arxiv.org/pdf/2106.00043.pdf

096  (2021-05-31) The use of Generative Adversarial Networks to characterise new physics in multi-lepton final states at the LHC

https://arxiv.org/pdf/2105.14933.pdf

097  (2021-05-30) Image-to-Video Generation via 3D Facial Dynamics

https://arxiv.org/pdf/2105.14678.pdf

098  (2021-05-29) Representation Learning in Continuous-Time Score-Based Generative Models

https://arxiv.org/pdf/2105.14257.pdf

099  (2021-05-28) PTNet  A High-Resolution Infant MRI Synthesizer Based on Transformer

https://arxiv.org/pdf/2105.13993.pdf

100  (2021-07-1) Discretization Drift in Two-Player Games

https://arxiv.org/pdf/2105.13922.pdf

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[2020_8_60_GAN]: http://mp.weixin.qq.com/s?__biz=MzU5MTgzNzE0MA%3D%3D&chksm=fe29b3f7c95e3ae1fd0202b706720609b25172b39c4537b9239b183d821c087b1554456f258a&idx=1&mid=2247487820&scene=21&sn=42ec4caf609e0d2b020eed339fedb50e#wechat_redirect
[2020_7_90_GAN]: http://mp.weixin.qq.com/s?__biz=MzU5MTgzNzE0MA%3D%3D&chksm=fe29adf1c95e24e78176da9a6710df15a4993041a427256009f14f900b166990cbe117467eae&idx=1&mid=2247487306&scene=21&sn=53e13535dd887860d992620afb8a76f3#wechat_redirect
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[2020_3_90_GAN]: http://mp.weixin.qq.com/s?__biz=MzU5MTgzNzE0MA%3D%3D&chksm=fe29a14cc95e285a5a611a65de29a71a7c923db0f60e338d564a8351e760d5bf832858e6fc9d&idx=1&mid=2247484407&scene=21&sn=5aab537c008cdc0dfa536a494cf81cdc#wechat_redirect
[2020_2_50_GAN]: http://mp.weixin.qq.com/s?__biz=MzU5MTgzNzE0MA%3D%3D&chksm=fe29a190c95e2886597c6f85467f450c2b43381edcc68ce9b3bcccc8a54cf6747274f710cdfa&idx=1&mid=2247484203&scene=21&sn=42b4c58553f345195d59fd58dd8fa228#wechat_redirect
[2020_1_GAN]: http://mp.weixin.qq.com/s?__biz=MzU5MTgzNzE0MA%3D%3D&chksm=fe29a0dac95e29cc6801bc1a09be8853b370aefb59183947d0672e0989a4db2086d1dcaacf62&idx=1&mid=2247484001&scene=21&sn=a623d066459cb3dd01b6998da947fbc6#wechat_redirect
[CVPR 2021 _ GAN_3D]: http://mp.weixin.qq.com/s?__biz=MzU5MTgzNzE0MA%3D%3D&chksm=fe2a41fac95dc8ec752351699318742fa502dfc945ce072567bb4bf0c59ce83049dc58c1a57d&idx=1&mid=2247492417&scene=21&sn=292be5e5fab52c5df5c94508b898da5a#wechat_redirect
[CVPR 2021 _ _ _GAN]: http://mp.weixin.qq.com/s?__biz=MzU5MTgzNzE0MA%3D%3D&chksm=fe2a4278c95dcb6ebd0ba346a11dc195a0ac4f7830f3a7cf69fcffc7057fa1bf3eaeb9386300&idx=1&mid=2247491779&scene=21&sn=f0a601ca66c01361709e6af8485f629b#wechat_redirect
[CVPR 2021_GAN]: http://mp.weixin.qq.com/s?__biz=MzU5MTgzNzE0MA%3D%3D&chksm=fe2a4289c95dcb9f047c18e63b3be9d78e5e75f1d94dc80be34686ce6b4f22cdee2d7cc7f2ae&idx=1&mid=2247491634&scene=21&sn=427cb6bfd6868662f2b5ae1ac37f6072#wechat_redirect
[CVPR 2021_GAN 1]: http://mp.weixin.qq.com/s?__biz=MzU5MTgzNzE0MA%3D%3D&chksm=fe29bfe4c95e36f275332b31b993532b98d52acc76d26c15e2321de4cf52141510bee3ff96af&idx=1&mid=2247490911&scene=21&sn=671926492c3b36e3350db4963f7fcb16#wechat_redirect
[GAN_StyleGAN]: http://mp.weixin.qq.com/s?__biz=MzU5MTgzNzE0MA%3D%3D&chksm=fe29bedbc95e37cd709f583372918478ad8d3cff5309a85f3a940e7c0356050278f89d7e1c79&idx=2&mid=2247490656&scene=21&sn=bbe156fef077f23263b57e506ad43314#wechat_redirect
[20_ StyleGAN]: http://mp.weixin.qq.com/s?__biz=MzU5MTgzNzE0MA%3D%3D&chksm=fe29b979c95e306f03b134809b16009d06aa0694b03da3368f84625de3700e6a56221d49d1bf&idx=1&mid=2247490498&scene=21&sn=324cfbbde362a728aa5336f4b200f7a3#wechat_redirect
[_ _Python]: http://mp.weixin.qq.com/s?__biz=MzU5MTgzNzE0MA%3D%3D&chksm=fe29abb6c95e22a04d1eb019f964c8ae97b2f3af98c22f730f5d5ed2aea9fdb320b00c688967&idx=2&mid=2247485709&scene=21&sn=55a51c98ab48f393ba305c082ba0e4fe#wechat_redirect
[_ _Think Python]: http://mp.weixin.qq.com/s?__biz=MzU5MTgzNzE0MA%3D%3D&chksm=fe29a418c95e2d0e9a3de46e0e4d1b8d4947154d8639418a511a3091300aa31699932046556e&idx=2&mid=2247485091&scene=21&sn=f569d5d70c2e6c9cc567fbc5147787a4#wechat_redirect
[_ _Pytorch]: http://mp.weixin.qq.com/s?__biz=MzU5MTgzNzE0MA%3D%3D&chksm=fe29aa78c95e236e380c9fd2ae79917d7451ccdd4803c5e6047a16f921d1b61d18efc79ada7c&idx=2&mid=2247485635&scene=21&sn=90608bce32fe353cf3c64b39e3406bc3#wechat_redirect
[_ _2020]: http://mp.weixin.qq.com/s?__biz=MzU5MTgzNzE0MA%3D%3D&chksm=fe29a4a4c95e2db2aab16bdcefa78795bbb7efbc70b533bb197d73f617558f2f8a523120c6e3&idx=2&mid=2247484959&scene=21&sn=563999cc8d48498beed00270844ceec4#wechat_redirect
[Link 1]: http://mp.weixin.qq.com/s?__biz=MzU5MTgzNzE0MA%3D%3D&chksm=fe29a4bac95e2dac758c4aac10a3aac49eb062bc0829d4ef2ebc8e6d5069d246385c5084a2b4&idx=1&mid=2247484929&scene=21&sn=523220858287ed3e6105919703c8e833#wechat_redirect
[_TensorFlow 2.0]: http://mp.weixin.qq.com/s?__biz=MzU5MTgzNzE0MA%3D%3D&chksm=fe29a5b0c95e2ca6599d4a91d5d40900566b7525de3dd85259e7a6c173aa26aa7ea3641d1aaf&idx=2&mid=2247485195&scene=21&sn=e3387067db29d1759755c6c2ea96c870#wechat_redirect
[Link 2]: http://mp.weixin.qq.com/s?__biz=MzU5MTgzNzE0MA%3D%3D&chksm=fe29aa8fc95e23993e057fb0dbe09f2810ea07184a439c173f404a7ab657cadcde3d24efa52a&idx=2&mid=2247485492&scene=21&sn=c4fb135de02cd52f06bc61b0e79476e4#wechat_redirect
[c62ba4e106dbb3717a5f041e74ee8b4f.png]: /images/20221005/2e4d1c35c6d040d5ad54c76b8121fec6.png