一览!2020年1月部分GAN论文清单!

天大地大妈咪最大 提交于 2020-12-06 18:27:26

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今天主要是给大家呈上今年1月份在arxiv上的部分GAN论文(50多篇),涵盖各个方向的进展。 若有兴趣,也 可先读读下述 几首诗词

注:小编bryant8对 kobe bryant 的突然离世,心痛不已。心中之万千难过、言语实在难表。可见链接: 别了!科比布莱恩特!   为此,私心在本文、穿插图致敬。




《临江仙·滚滚长江东逝水》
杨慎
滚滚长江东逝水,浪花淘尽英雄。
是非成败转头空。
青山依旧在,几度夕阳红。
白发渔樵江渚上,惯看秋月春风。
一壶浊酒喜相逢。古今多少事,都付笑谈中。


《大风歌》
刘邦
大风起兮云飞扬,
威加海内兮归故乡。
安得猛士兮守四方!


《题韩蕲王庙》
尤侗
忠武勋名百战回,西湖跨蹇且衔杯。
英雄短气莫须有,明哲保身归去来。
夜月灵旗摇铁瓮,秋风石马上琴台。
千年遗庙还香火,杜宇冬青正可哀。


《朝中措·襄阳古道灞陵桥》
完颜璹
襄阳古道灞陵桥,诗兴与秋高。
千古风流人物,一时多少雄豪。
霜清玉塞,云飞陇首,风落江皋。
梦到凤凰台上,山围故国周遭。



001  (2020-01-29) Simulation of electron-proton scattering events by a Feature-Augmented and Transformed Generative Adversarial Network (FAT-GAN)
     https://arxiv.xilesou.top/pdf/2001.11103.pdf

002  (2020-01-27) Medical image reconstruction with image-adaptive priors learned by use of generative adversarial networks
     https://arxiv.xilesou.top/pdf/2001.10830.pdf

003  (2020-01-27) Generating Natural Adversarial Hyperspectral examples with a modified Wasserstein GAN
     https://arxiv.xilesou.top/pdf/2001.09993.pdf

004  (2020-01-27) DP-CGAN  Differentially Private Synthetic Data and Label Generation
     https://arxiv.xilesou.top/pdf/2001.09700.pdf

005  (2020-01-27) Audio Codec Enhancement with Generative Adversarial Networks
     https://arxiv.xilesou.top/pdf/2001.09653.pdf

006  (2020-01-27) FakeLocator  Robust Localization of GAN-Based Face Manipulations via Semantic Segmentation Networks with Bells and Whistles
     https://arxiv.xilesou.top/pdf/2001.09598.pdf

007  (2020-01-26) Using Simulated Data to Generate Images of Climate Change
     https://arxiv.xilesou.top/pdf/2001.09531.pdf

008  (2020-01-26) Imperfect ImaGANation  Implications of GANs Exacerbating Biases on Facial Data Augmentation and Snapchat Selfie Lenses
     https://arxiv.xilesou.top/pdf/2001.09528.pdf

009  (2020-01-26) Markov-Chain Monte Carlo Approximation of the Ideal Observer using Generative Adversarial Networks
     https://arxiv.xilesou.top/pdf/2001.09526.pdf

010  (2020-01-26) Progressively-Growing AmbientGANs For Learning Stochastic Object Models From Imaging Measurements
     https://arxiv.xilesou.top/pdf/2001.09523.pdf


011  (2020-01-25) COR-GAN  Correlation-Capturing Convolutional Neural Networks for Generating Synthetic Healthcare Records
     https://arxiv.xilesou.top/pdf/2001.09346.pdf

012  (2020-01-24) On the Role of Receptive Field in Unsupervised Sim-to-Real Image Translation
     https://arxiv.xilesou.top/pdf/2001.09257.pdf

013  (2020-01-22) Using a Generative Adversarial Network for CT Normalization and its Impact on Radiomic Features
     https://arxiv.xilesou.top/pdf/2001.08741.pdf

014  (2020-01-22) Towards A Controllable Disentanglement Network
     https://arxiv.xilesou.top/pdf/2001.08572.pdf

015  (2020-01-24) Information Compensation for Deep Conditional Generative Networks
     https://arxiv.xilesou.top/pdf/2001.08559.pdf

016  (2020-01-21) Random Matrix Theory Proves that Deep Learning Representations of GAN-data Behave as Gaussian Mixtures
     https://arxiv.xilesou.top/pdf/2001.08370.pdf

017  (2020-01-22) Optimizing Generative Adversarial Networks for Image Super Resolution via Latent Space Regularization
     https://arxiv.xilesou.top/pdf/2001.08126.pdf

018  (2020-01-21) Unsupervised Representation Disentanglement using Cross Domain Features and Adversarial Learning in Variational Autoencoder based Voice Conversion
     https://arxiv.xilesou.top/pdf/2001.07849.pdf

019  (2020-01-21) Adaptive Loss Function for Super Resolution Neural Networks Using Convex Optimization Techniques
     https://arxiv.xilesou.top/pdf/2001.07766.pdf

020  (2020-01-20) S$^{2}$OMGAN  Shortcut from Remote Sensing Images to Online Maps
     https://arxiv.xilesou.top/pdf/2001.07712.pdf


021  (2020-01-30) P$^2$-GAN  Efficient Style Transfer Using Single Style Image
     https://arxiv.xilesou.top/pdf/2001.07466.pdf

022  (2020-01-19) FD-GAN  Generative Adversarial Networks with Fusion-discriminator for Single Image Dehazing
     https://arxiv.xilesou.top/pdf/2001.06968.pdf

023  (2020-01-19) A Review on Generative Adversarial Networks  Algorithms Theory and Applications
     https://arxiv.xilesou.top/pdf/2001.06937.pdf

024  (2020-01-17) A GAN-based Tunable Image Compression System
     https://arxiv.xilesou.top/pdf/2001.06580.pdf

025  (2020-01-16) Interpreting Galaxy Deblender GAN from the Discriminator's Perspective
     https://arxiv.xilesou.top/pdf/2001.06151.pdf

026  (2020-01-16) Learning to Augment Expressions for Few-shot Fine-grained Facial Expression Recognition
     https://arxiv.xilesou.top/pdf/2001.06144.pdf

027  (2019-12-30) Supervised and Unsupervised Learning of Parameterized Color Enhancement
     https://arxiv.xilesou.top/pdf/2001.05843.pdf

028  (2020-01-15) Improving GANs for Speech Enhancement
     https://arxiv.xilesou.top/pdf/2001.05532.pdf

029  (2020-01-15) CDGAN  Cyclic Discriminative Generative Adversarial Networks for Image-to-Image Transformation
     https://arxiv.xilesou.top/pdf/2001.05489.pdf

030  (2020-01-10) Segmentation and Generation of Magnetic Resonance Images by Deep Neural Networks
     https://arxiv.xilesou.top/pdf/2001.05447.pdf


031  (2020-01-15) Structured GANs
     https://arxiv.xilesou.top/pdf/2001.05216.pdf

032  (2020-01-14) Generative Adversarial Network Rooms in Generative Graph Grammar Dungeons for The Legend of Zelda
     https://arxiv.xilesou.top/pdf/2001.05065.pdf

033  (2020-01-18) Smooth markets  A basic mechanism for organizing gradient-based learners
     https://arxiv.xilesou.top/pdf/2001.04678.pdf

034  (2020-01-13) High-Fidelity Synthesis with Disentangled Representation
     https://arxiv.xilesou.top/pdf/2001.04296.pdf

035  (2020-01-9) Improving Dysarthric Speech Intelligibility Using Cycle-consistent Adversarial Training
     https://arxiv.xilesou.top/pdf/2001.04260.pdf

036  (2020-01-13) Separating Content from Style Using Adversarial Learning for Recognizing Text in the Wild
     https://arxiv.xilesou.top/pdf/2001.04189.pdf

037  (2020-01-12) Bridging the gap between AI and Healthcare sides  towards developing clinically relevant AI-powered diagnosis systems
     https://arxiv.xilesou.top/pdf/2001.03923.pdf

038  (2020-01-12) Solar Image Deconvolution by Generative Adversarial Network
     https://arxiv.xilesou.top/pdf/2001.03850.pdf

039  (2020-01-11) Symmetric Skip Connection Wasserstein GAN for High-Resolution Facial Image Inpainting
     https://arxiv.xilesou.top/pdf/2001.03725.pdf

040  (2020-01-27) AE-OT-GAN  Training GANs from data specific latent distribution
     https://arxiv.xilesou.top/pdf/2001.03698.pdf

041  (2020-01-10) Unsupervised K-modal Styled Content Generation
     https://arxiv.xilesou.top/pdf/2001.03640.pdf

042  (2020-01-10) Can Giraffes Become Birds  An Evaluation of Image-to-image Translation for Data Generation
     https://arxiv.xilesou.top/pdf/2001.03637.pdf

043  (2020-01-10) microbatchGAN  Stimulating Diversity with Multi-Adversarial Discrimination
     https://arxiv.xilesou.top/pdf/2001.03376.pdf

044  (2020-01-9) The Counterfactual $χ$-GAN
     https://arxiv.xilesou.top/pdf/2001.03115.pdf 


045  (2020-01-8) Learning Generative Models using Denoising Density Estimators
     https://arxiv.xilesou.top/pdf/2001.02728.pdf

046  (2020-01-8) A context based deep learning approach for unbalanced medical image segmentation
     https://arxiv.xilesou.top/pdf/2001.02387.pdf

047  (2020-01-7) Generative Adversarial Zero-Shot Relational Learning for Knowledge Graphs
     https://arxiv.xilesou.top/pdf/2001.02332.pdf

048  (2020-01-5) FDFtNet  Facing Off Fake Images using Fake Detection Fine-tuning Network
     https://arxiv.xilesou.top/pdf/2001.01265.pdf

049  (2020-01-2) FFusionCGAN  An end-to-end fusion method for few-focus images using conditional GAN in cytopathological digital slides
     https://arxiv.xilesou.top/pdf/2001.00692.pdf

050  (2019-12-25) PI-GAN  Learning Pose Independent representations for multiple profile face synthesis
     https://arxiv.xilesou.top/pdf/2001.00645.pdf

051  (2020-01-1) DAWSON  A Domain Adaptive Few Shot Generation Framework
     https://arxiv.xilesou.top/pdf/2001.00576.pdf

052  (2020-01-3) Protecting GANs against privacy attacks by preventing overfitting
     https://arxiv.xilesou.top/pdf/2001.00071.pdf



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