2021年1月50篇GAN/对抗论文汇总

分手后的思念是犯贱 2022-10-26 12:43 155阅读 0赞

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

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

[**2020年11月80篇GAN/对抗论文汇总**][2020_11_80_GAN]

**[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  (2021-01-28) Reconstructing Perceptive Images from Brain Activity by Shape-Semantic GAN

https://arxiv.org/pdf/2101.12083.pdf

002  (2021-01-29) The Hidden Tasks of Generative Adversarial Networks  An Alternative Perspective on GAN Training

https://arxiv.org/pdf/2101.11863.pdf

003  (2021-01-28) Generative Multi-Label Zero-Shot Learning

https://arxiv.org/pdf/2101.11606.pdf

004  (2021-01-27) Im2Mesh GAN  Accurate 3D Hand Mesh Recovery from a Single RGB Image

https://arxiv.org/pdf/2101.11239.pdf

005  (2021-01-26) Evolutionary Generative Adversarial Networks with Crossover Based Knowledge Distillation

https://arxiv.org/pdf/2101.11186.pdf

006  (2021-01-26) A Generative Model of Galactic Dust Emission Using Variational Inference

https://arxiv.org/pdf/2101.11181.pdf

007  (2021-01-26) Quantum Generative Adversarial Networks in a Continuous-Variable Architecture to Simulate High Energy Physics Detectors

https://arxiv.org/pdf/2101.11132.pdf

008  (2021-01-19) Generative Adversarial Network using Perturbed-Convolutions

https://arxiv.org/pdf/2101.10841.pdf

009  (2021-01-25) Self Sparse Generative Adversarial Networks

https://arxiv.org/pdf/2101.10556.pdf

010  (2021-01-25) Learning Structral coherence Via Generative Adversarial Network for Single Image Super-Resolution

https://arxiv.org/pdf/2101.10165.pdf

011  (2021-01-28) Fighting deepfakes by detecting GAN DCT anomalies

https://arxiv.org/pdf/2101.09781.pdf

012  (2021-01-23) A Dual-branch Network for Infrared and Visible Image Fusion

https://arxiv.org/pdf/2101.09643.pdf

013  (2021-01-23) A Transferable Anti-Forensic Attack on Forensic CNNs Using A Generative Adversarial Network

https://arxiv.org/pdf/2101.09568.pdf

014  (2021-01-22) Pareto GAN  Extending the Representational Power of GANs to Heavy-Tailed Distributions

https://arxiv.org/pdf/2101.09113.pdf

015  (2021-01-13) Adversarial Machine Learning in Text Analysis and Generation

https://arxiv.org/pdf/2101.08675.pdf

016  (2021-01-20) MoG-QSM  Model-based Generative Adversarial Deep Learning Network for Quantitative Susceptibility Mapping

https://arxiv.org/pdf/2101.08413.pdf

017  (2021-01-20) Influence Estimation for Generative Adversarial Networks

https://arxiv.org/pdf/2101.08367.pdf

018  (2021-01-20) Robust W-GAN-Based Estimation Under Wasserstein Contamination

https://arxiv.org/pdf/2101.07969.pdf

019  (2021-01-19) Intelligent Icing Detection Model of Wind Turbine Blades Based on SCADA data

https://arxiv.org/pdf/2101.07914.pdf

020  (2021-01-19) Illuminating the Space of Beatable Lode Runner Levels Produced By Various Generative Adversarial Networks

https://arxiv.org/pdf/2101.07868.pdf

021  (2021-01-19) JigsawGAN  Self-supervised Learning for Solving Jigsaw Puzzles with Generative Adversarial Networks

https://arxiv.org/pdf/2101.07555.pdf

022  (2021-01-19) PeerGAN  Generative Adversarial Networks with a Competing Peer Discriminator

https://arxiv.org/pdf/2101.07524.pdf

023  (2021-01-18) Galaxy Image Translation with Semi-supervised Noise-reconstructed Generative Adversarial Networks

https://arxiv.org/pdf/2101.07389.pdf

024  (2021-01-18) Reducing bias and increasing utility by federated generative modeling of medical images using a centralized adversary

https://arxiv.org/pdf/2101.07235.pdf

025  (2021-01-17) GraphAttacker  A General Multi-Task GraphAttack Framework

https://arxiv.org/pdf/2101.06855.pdf

026  (2021-01-15) The Geometry of Deep Generative Image Models and its Applications

https://arxiv.org/pdf/2101.06006.pdf

027  (2021-01-14) Convex Smoothed Autoencoder-Optimal Transport model

https://arxiv.org/pdf/2101.05679.pdf

028  (2021-01-13) Dual-cycle Constrained Bijective VAE-GAN For Tagged-to-Cine Magnetic Resonance Image Synthesis

https://arxiv.org/pdf/2101.05439.pdf

029  (2020-12-10) This Face Does Not Exist ... But It Might Be Yours  Identity Leakage in Generative Models

https://arxiv.org/pdf/2101.05084.pdf

030  (2021-01-13) Sequential IoT Data Augmentation using Generative Adversarial Networks

https://arxiv.org/pdf/2101.05003.pdf

031  (2021-01-13) Road images augmentation with synthetic traffic signs using neural networks

https://arxiv.org/pdf/2101.04927.pdf

032  (2021-01-12) Towards Faster and Stabilized GAN Training for High-fidelity Few-shot Image Synthesis

https://arxiv.org/pdf/2101.04775.pdf

033  (2021-01-15) Cross-Modal Contrastive Learning for Text-to-Image Generation

https://arxiv.org/pdf/2101.04702.pdf

034  (2021-01-11) Cycle Generative Adversarial Networks Algorithm With Style Transfer For Image Generation

https://arxiv.org/pdf/2101.03921.pdf

035  (2021-01-10) Time-Series Regeneration with Convolutional Recurrent Generative Adversarial Network for Remaining Useful Life Estimation

https://arxiv.org/pdf/2101.03678.pdf

036  (2021-01-9) Quantum Generative Models for Small Molecule Drug Discovery

https://arxiv.org/pdf/2101.03438.pdf

037  (2021-01-8) Exploring Adversarial Fake Images on Face Manifold

https://arxiv.org/pdf/2101.03272.pdf

038  (2021-01-5) GRAPPA-GANs for Parallel MRI Reconstruction

https://arxiv.org/pdf/2101.03135.pdf

039  (2021-01-8) Manifold Interpolation for Large-Scale Multi-Objective Optimization via Generative Adversarial Networks

https://arxiv.org/pdf/2101.02932.pdf

040  (2021-01-7) Deep Generative Model for Efficient 3D Airfoil Parameterization and Generation

https://arxiv.org/pdf/2101.02744.pdf

041  (2021-01-7) Adversarial Machine Learning for 5G Communications Security

https://arxiv.org/pdf/2101.02656.pdf

042  (2021-01-7) A spin-glass model for the loss surfaces of generative adversarial networks

https://arxiv.org/pdf/2101.02524.pdf

043  (2021-01-7) Knowledge Distillation in Iterative Generative Models for Improved Sampling Speed

https://arxiv.org/pdf/2101.02388.pdf

044  (2021-01-7) VHS to HDTV Video Translation using Multi-task Adversarial Learning

https://arxiv.org/pdf/2101.02384.pdf

045  (2021-01-6) OAAE  Adversarial Autoencoders for Novelty Detection in Multi-modal Normality Case via Orthogonalized Latent Space

https://arxiv.org/pdf/2101.02358.pdf

046  (2021-01-6) Model Extraction and Defenses on Generative Adversarial Networks

https://arxiv.org/pdf/2101.02069.pdf

047  (2021-01-5) Minibatch optimal transport distances; analysis and applications

https://arxiv.org/pdf/2101.01792.pdf

048  (2020-12-27) Generative Adversarial Networks with Physical Evaluators for Spray Simulation of Pintle Injector

https://arxiv.org/pdf/2101.01217.pdf

049  (2020-12-21) Understanding Health Misinformation Transmission  An Interpretable Deep Learning Approach to Manage Infodemics

https://arxiv.org/pdf/2101.01076.pdf

050  (2021-01-4) Fast Ensemble Learning Using Adversarially-Generated Restricted Boltzmann Machines

https://arxiv.org/pdf/2101.01042.pdf

051  (2021-01-4) Guiding GANs  How to control non-conditional pre-trained GANs for conditional image generation

https://arxiv.org/pdf/2101.00990.pdf

052  (2021-01-3) Copula Flows for Synthetic Data Generation

https://arxiv.org/pdf/2101.00598.pdf

053  (2021-01-2) Six-channel Image Representation for Cross-domain Object Detection

https://arxiv.org/pdf/2101.00561.pdf

054  (2021-01-2) RV-GAN   Retinal Vessel Segmentation from Fundus Images using Multi-scale Generative Adversarial Networks

https://arxiv.org/pdf/2101.00535.pdf

055  (2021-01-2) ORDisCo  Effective and Efficient Usage of Incremental Unlabeled Data for Semi-supervised Continual Learning

https://arxiv.org/pdf/2101.00407.pdf

--------------------

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[100_CVPR 2020_GAN]: http://mp.weixin.qq.com/s?__biz=MzU5MTgzNzE0MA%3D%3D&chksm=fe29a94cc95e205ae880cb9518cb16a54c0abde69e5a8654f7fedf70a0cc990775265bf28a1c&idx=1&mid=2247486455&scene=21&sn=94156f53845cdf07e859e343862be745#wechat_redirect
[2020_12_100_GAN]: http://mp.weixin.qq.com/s?__biz=MzU5MTgzNzE0MA%3D%3D&chksm=fe29b8c7c95e31d120500e32f07924eae34eca06ec9d1e426084b6a2b7351d954306ff3edf02&idx=1&mid=2247490172&scene=21&sn=9893134c79b8f64af2e382806e028607#wechat_redirect
[2020_11_80_GAN]: http://mp.weixin.qq.com/s?__biz=MzU5MTgzNzE0MA%3D%3D&chksm=fe29baa2c95e33b4a25278688305175a104710049f042257ecb7e894abc1a198b96aaf1055cb&idx=1&mid=2247489561&scene=21&sn=f8eb3c35a1399140ff788770284e824d#wechat_redirect
[2020_10_80_GAN]: http://mp.weixin.qq.com/s?__biz=MzU5MTgzNzE0MA%3D%3D&chksm=fe29b717c95e3e0122436216ed7bffbf846e8b4a37184c6f49bc0bbd9983b9e4df2d7967afc5&idx=1&mid=2247488940&scene=21&sn=22dca69a5f770ecf4bf493f721170c97#wechat_redirect
[2020_9_70_GAN]: http://mp.weixin.qq.com/s?__biz=MzU5MTgzNzE0MA%3D%3D&chksm=fe29b1abc95e38bd46d64213fa8e14eb994e5b4790524479186719f7e7cb296d652df3c9627a&idx=1&mid=2247488272&scene=21&sn=253384138dbadb8f1d0b152bdacd1756#wechat_redirect
[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
[2020_6_100_GAN]: http://mp.weixin.qq.com/s?__biz=MzU5MTgzNzE0MA%3D%3D&chksm=fe29afb5c95e26a3e96632a4a71df52b8b8bf658063a7c444ccc27c241596d210451979d83fa&idx=1&mid=2247486734&scene=21&sn=0ef72f78298cd09b4829254225fdd085#wechat_redirect
[2020_5_60_GAN]: http://mp.weixin.qq.com/s?__biz=MzU5MTgzNzE0MA%3D%3D&chksm=fe29aa13c95e2305dedfee48121c31ad3ee57bec663f69a920f59a02f374d0837476d50077af&idx=1&mid=2247485608&scene=21&sn=ae4353eded9e2f9bb5995bc5d64b71d1#wechat_redirect
[2020_4_70_GAN]: http://mp.weixin.qq.com/s?__biz=MzU5MTgzNzE0MA%3D%3D&chksm=fe29a7a2c95e2eb4b449130baf88f7481a10263f8d9f53d2c896bff465c4b8784002df98e61a&idx=1&mid=2247484697&scene=21&sn=26a30e1e9622ed87699d9ca35f63e989#wechat_redirect
[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
[GAN_6]: https://mp.weixin.qq.com/s?__biz=MzU5MTgzNzE0MA%3D%3D&idx=1&mid=2247483674&scene=21&sn=4370e8bb00f456bd1f3ad09e4adb7c56#wechat_redirect
[-]: http://mp.weixin.qq.com/s?__biz=MzU5MTgzNzE0MA%3D%3D&chksm=fe29a4f0c95e2de679c4b850ac3704958542cb588f9e684182b5faa31abb51f7a2b8ae72accc&idx=1&mid=2247485003&scene=21&sn=2fd2f515a91ae4ff8dc692af6f1c0842#wechat_redirect
[AI_deepfake]: http://mp.weixin.qq.com/s?__biz=MzU5MTgzNzE0MA%3D%3D&chksm=fe29a783c95e2e953e379953d199ff99c47e7daf03cfbb2050abc15c71abbd8363b2321959f8&idx=2&mid=2247484728&scene=21&sn=3fa9126137fcae16348207457d433100#wechat_redirect
[_ GAN]: https://mp.weixin.qq.com/s?__biz=MzU5MTgzNzE0MA%3D%3D&chksm=fe29a048c95e295e3b36b18ae006a1cfcf0b838665a9cd23a156948389960a35f5d8970964ca&idx=1&lang=zh_CN&mid=2247484147&scene=21&sn=35da209341a2860a41aceb695b5a1b71&token=159212124#wechat_redirect
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[GCN]: http://mp.weixin.qq.com/s?__biz=MzU5MTgzNzE0MA%3D%3D&chksm=fe29a692c95e2f843cd38c8d4f012a80aa3ac2be32d05087bc9f34dc4c1f48fab968703f5128&idx=1&mid=2247484457&scene=21&sn=21483273408183d9c07932e70aff028a#wechat_redirect
[CapsulesNet]: http://mp.weixin.qq.com/s?__biz=MzU5MTgzNzE0MA%3D%3D&chksm=fe29a6fbc95e2fed0046ab54d3e07fa5cf1534b91da79ae3d2a7a66529d713ec344595ab17d4&idx=1&mid=2247484480&scene=21&sn=c78fe57c67110971ad58dee2ce75efd3#wechat_redirect
[Link 1]: http://mp.weixin.qq.com/s?__biz=MzU5MTgzNzE0MA%3D%3D&chksm=fe29a658c95e2f4e989936507a7afdb834343660342698cf7f4bfb2e1aed43f8c71eab47738b&idx=1&mid=2247484643&scene=21&sn=73bf2fba1fe9ea9f7bffe877d6ec2ccd#wechat_redirect
[SOTA_GAN]: http://mp.weixin.qq.com/s?__biz=MzU5MTgzNzE0MA%3D%3D&chksm=fe29a7b1c95e2ea7ddc9dd1bee20e868280f71eee0e5b5569ce31e3ea5fde742c3ebcf653b4b&idx=1&mid=2247484682&scene=21&sn=eef699d950e03a88ba29211fa47a00f0#wechat_redirect
[GAN_zero-shot learning]: http://mp.weixin.qq.com/s?__biz=MzU5MTgzNzE0MA%3D%3D&chksm=fe29a652c95e2f4416c07442f3b7a1c28f8c45b4cda4e3649fab823849e7afaf3a88954d5b62&idx=1&mid=2247484649&scene=21&sn=27f39def1b76fec31a210be70b61f745#wechat_redirect
[GAN 1]: http://mp.weixin.qq.com/s?__biz=MzU5MTgzNzE0MA%3D%3D&chksm=fe29a6cec95e2fd8e623fb31ffd13b5b516754c46c1c1d90f90f9d6e192e45ff4b62a7647799&idx=1&mid=2247484533&scene=21&sn=3018b810c023aca151d2f631b9138cfe#wechat_redirect
[CVPR2020_MSG-GAN_SOTA]: http://mp.weixin.qq.com/s?__biz=MzU5MTgzNzE0MA%3D%3D&chksm=fe29a1edc95e28fb85299ccf87a1819755f80243ff17f0057c425f3c4077e7e3b4d4a2035329&idx=1&mid=2247484246&scene=21&sn=3af777e066a3d4b6dcf1c4cf4856a671#wechat_redirect
[CVPR2020_GAN]: http://mp.weixin.qq.com/s?__biz=MzU5MTgzNzE0MA%3D%3D&chksm=fe29a1c9c95e28df09d1a30946d10592775dd3686475bd11202890e7de3f5f4412e3d19e0eb5&idx=1&mid=2247484274&scene=21&sn=cd86b9bc51e7ba632acbd62216419d96#wechat_redirect
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[GAN 2]: http://mp.weixin.qq.com/s?__biz=MzU5MTgzNzE0MA%3D%3D&chksm=fe29a6adc95e2fbbb6126ec62e3b62255f1f6f0251e50e3ffb821c4497fccfaea3ed1ffe5591&idx=1&mid=2247484438&scene=21&sn=dc9220e9f495de8e27b0ecec6d286cd1#wechat_redirect
[GAN_SinGAN]: http://mp.weixin.qq.com/s?__biz=MzU5MTgzNzE0MA%3D%3D&chksm=fe29a6ddc95e2fcb0a8a8411333929f4bae543bd3aeb0bd981ad46d339ee4fc44f35edc604e7&idx=1&mid=2247484518&scene=21&sn=cadeadfc0500ece542e82f02a71506e8#wechat_redirect
[GAN 3]: https://mp.weixin.qq.com/s?__biz=MzU5MTgzNzE0MA%3D%3D&chksm=fe29a0bcc95e29aa2a95f31809da6ede186efffcaf401505d064cfd70e8d8b2fcd94ea20541c&idx=1&lang=zh_CN&mid=2247483911&scene=21&sn=34bae0b092010dc7e40f8354719f30fd&token=1223526823#wechat_redirect
[GAN_70]: https://mp.weixin.qq.com/s?__biz=MzU5MTgzNzE0MA%3D%3D&chksm=fe29a18ec95e2898ef15e94c996c3ede2243a23d9f459f31840f4917d6a82a51b5073e1083d3&idx=1&lang=zh_CN&mid=2247484213&scene=21&sn=412ecf34631f2ffcbbe25a88ed67f49d&token=851081852#wechat_redirect
[GAN 4]: https://mp.weixin.qq.com/s?__biz=MzU5MTgzNzE0MA%3D%3D&chksm=fe29a35cc95e2a4a4242fce08e973f43ac88e4eaa743e943ffb8a1e6bd82b8f741171ffc54af&idx=1&lang=zh_CN&mid=2247483879&scene=21&sn=a673f657397286fa50290d4864d830aa&token=1186912265#wechat_redirect
[GAN 5]: https://mp.weixin.qq.com/s?__biz=MzU5MTgzNzE0MA%3D%3D&chksm=fe29a369c95e2a7f63eedc91c6ae229d887695fa49b5160cd8c1a93b4c12c2b2f0b4a85b0d19&idx=1&lang=zh_CN&mid=2247483858&scene=21&sn=bae4338d85dad65dff75ca161df6ef60&token=1784406663#wechat_redirect
[GAN 6]: https://mp.weixin.qq.com/s?__biz=MzU5MTgzNzE0MA%3D%3D&chksm=fe29a30ec95e2a1836165bc4d1a670bace96a05ef547cd3991949db5e00c8dc7731c5668afc0&idx=1&lang=zh_CN&mid=2247483829&scene=21&sn=b8b9bf3902ce7e2483bcd5057992849c&token=190166899#wechat_redirect
[SSL_GAN]: https://mp.weixin.qq.com/s?__biz=MzU5MTgzNzE0MA%3D%3D&chksm=fe29a01cc95e290af1f7bcc06237028208bd2140e02ef5509776f5d9070a8a70f78d75c884d7&idx=1&lang=zh_CN&mid=2247484071&scene=21&sn=018e11036e888dd9873c12a0ea205665&token=1492014550#wechat_redirect
[AL_GAN]: https://mp.weixin.qq.com/s?__biz=MzU5MTgzNzE0MA%3D%3D&chksm=fe29a336c95e2a2087acaae08c63773b5de3ea141b47522bb0377aa5a0135119cabc0274d86f&idx=1&lang=zh_CN&mid=2247483789&scene=21&sn=20fea3902d6e425144d97460f0160721&token=492810919#wechat_redirect
[GAN_gan]: https://mp.weixin.qq.com/s?__biz=MzU5MTgzNzE0MA%3D%3D&chksm=fe29a3cbc95e2addbbeade50ca6299cb97196df8750cd25cbedf6169a4c9f8770ff21f09c811&idx=1&mid=2247483760&scene=21&sn=e5af2db822a26388c8882458ae97c02b&xtrack=1#wechat_redirect
[Link 2]: https://mp.weixin.qq.com/s?__biz=MzU5MTgzNzE0MA%3D%3D&idx=1&mid=2247483667&scene=21&sn=65df23ba3e092ae03c37d66215f5f2bf#wechat_redirect
[GAN 7]: https://mp.weixin.qq.com/s?__biz=MzU5MTgzNzE0MA%3D%3D&idx=1&mid=2247483658&scene=21&sn=ab33d63cf578661e58904e3be4bd4542#wechat_redirect
[1_GAN]: https://mp.weixin.qq.com/s?__biz=MzU5MTgzNzE0MA%3D%3D&idx=1&mid=2247483693&scene=21&sn=d62d43ad8d74b924204aa639bd69760c#wechat_redirect
[01-GAN]: https://mp.weixin.qq.com/s?__biz=MzU5MTgzNzE0MA%3D%3D&idx=1&mid=2247483662&scene=21&sn=d72391b5761e456a9fbf8a788f4ea4cd#wechat_redirect
[format_png]: /images/20221024/93d6fb1d241c448f8214d89b599f4f73.png
[format_png 1]: /images/20221024/11c6b92731bb48009f24eb767fa59e4f.png