专栏首页机器学习与生成对抗网络2020年6月100篇最新GAN论文汇总

2020年6月100篇最新GAN论文汇总

据不完全统计,GAN在CVPR2020上超115篇之多;其中,可看到GAN在朝着无监督/自监督/弱监督/半监督、少样本/单样本/零样本、多模态、3D、可解释性/可控性、对抗/安全,以及更广泛的跨学科场景应用方向中不断靠拢。此外,每个月新挂在arxiv上的GAN相关论文也好几十多,来看看GAN在过去的6月都干了些啥吧!

1

6月下半旬

001 (2020-06-30) PriorGAN Real Data Prior for Generative Adversarial Nets

https://arxiv.org/pdf/2006.16990.pdf

002 (2020-06-29) Conditional GAN for timeseries generation

https://arxiv.org/pdf/2006.16477.pdf

003 (2020-06-27) A Retinex based GAN Pipeline to Utilize Paired and Unpaired Datasets for Enhancing Low Light Images

https://arxiv.org/pdf/2006.15304.pdf

004 (2020-06-26) Attention-Guided Generative Adversarial Network to Address Atypical Anatomy in Modality Transfer

https://arxiv.org/pdf/2006.15264.pdf

005 (2020-06-26) Generative Damage Learning for Concrete Aging Detection using Auto-flight Images

https://arxiv.org/pdf/2006.15257.pdf

006 (2020-06-26) HypervolGAN An efficient approach for GAN with multi-objective training function

https://arxiv.org/pdf/2006.15228.pdf

007 (2020-06-25) Lesion Mask-based Simultaneous Synthesis of Anatomic and MolecularMR Images using a GAN

https://arxiv.org/pdf/2006.14761.pdf

008 (2020-06-25) Ensembles of Generative Adversarial Networks for Disconnected Data

https://arxiv.org/pdf/2006.14600.pdf

009 (2020-06-25) Taming GANs with Lookahead

https://arxiv.org/pdf/2006.14567.pdf

010 (2020-06-25) Searching towards Class-Aware Generators for Conditional Generative Adversarial Networks

https://arxiv.org/pdf/2006.14208.pdf

011 (2020-06-25) SRFlow Learning the Super-Resolution Space with Normalizing Flow

https://arxiv.org/pdf/2006.14200.pdf

012 (2020-06-24) FastSpec Scalable Generation and Detection of Spectre Gadgets Using Neural Embeddings

https://arxiv.org/pdf/2006.14147.pdf

013 (2020-06-24) Diffusion-Weighted Magnetic Resonance Brain Images Generation with Generative Adversarial Networks and Variational Autoencoders A Comparison Study

https://arxiv.org/pdf/2006.13944.pdf

014 (2020-06-22) Microstructure Generation via Generative Adversarial Network for Heterogeneous Topologically Complex 3D Materials

https://arxiv.org/pdf/2006.13886.pdf

015 (2020-06-28) PhishGAN Data Augmentation and Identification of Homoglpyh Attacks

https://arxiv.org/pdf/2006.13742.pdf

016 (2020-06-24) Recurrent Relational Memory Network for Unsupervised Image Captioning

https://arxiv.org/pdf/2006.13611.pdf

017 (2020-06-1) Deep Learning of Dynamic Subsurface Flow via Theory-guided Generative Adversarial Network

https://arxiv.org/pdf/2006.13305.pdf

018 (2020-06-23) Probabilistic Crowd GAN Multimodal Pedestrian Trajectory Prediction using a Graph Vehicle-Pedestrian Attention Network

https://arxiv.org/pdf/2006.12906.pdf

019 (2020-06-22) Efficient text generation of user-defined topic using generative adversarial networks

https://arxiv.org/pdf/2006.12005.pdf

020 (2020-06-21) Generative models for sampling and phase transition indication in spin systems

https://arxiv.org/pdf/2006.11868.pdf

021 (2020-06-20) BRULÉ Barycenter-Regularized Unsupervised Landmark Extraction

https://arxiv.org/pdf/2006.11643.pdf

022 (2020-06-27) G2D Generate to Detect Anomaly

https://arxiv.org/pdf/2006.11629.pdf

023 (2020-06-19) Channel Estimation for One-Bit Multiuser Massive MIMO Using Conditional GAN

https://arxiv.org/pdf/2006.11435.pdf

024 (2020-06-19) Online Kernel based Generative Adversarial Networks

https://arxiv.org/pdf/2006.11432.pdf

025 (2020-06-19) Fast Generation of Large-scale Structure Density Maps via Generative Adversarial Networks

https://arxiv.org/pdf/2006.11359.pdf

026 (2020-06-22) iSeeBetter Spatio-temporal video super-resolution using recurrent generative back-projection networks

https://arxiv.org/pdf/2006.11161.pdf

027 (2020-06-18) Differentiable Augmentation for Data-Efficient GAN Training

https://arxiv.org/pdf/2006.10738.pdf

028 (2020-06-18) MMCGAN Generative Adversarial Network with Explicit Manifold Prior

https://arxiv.org/pdf/2006.10331.pdf

029 (2020-06-18) Adversarially Trained Multi-Singer Sequence-To-Sequence Singing Synthesizer

https://arxiv.org/pdf/2006.10317.pdf

030 (2020-06-18) GAT-GMM Generative Adversarial Training for Gaussian Mixture Models

https://arxiv.org/pdf/2006.10293.pdf

031 (2020-06-17) Progressively Unfreezing Perceptual GAN

https://arxiv.org/pdf/2006.10250.pdf

032 (2020-06-17) Generating Fundus Fluorescence Angiography Images from Structure Fundus Images Using Generative Adversarial Networks

https://arxiv.org/pdf/2006.10216.pdf

033 (2020-06-17) Head2Head++ Deep Facial Attributes Re-Targeting

https://arxiv.org/pdf/2006.10199.pdf

034 (2020-06-17) Flows Succeed Where GANs Fail Lessons from Low-Dimensional Data

https://arxiv.org/pdf/2006.10175.pdf

035 (2020-06-17) Are you wearing a mask Improving mask detection from speech using augmentation by cycle-consistent GANs

https://arxiv.org/pdf/2006.10147.pdf

036 (2020-05-22) Interpreting the Latent Space of GANs via Correlation Analysis for Controllable Concept Manipulation

https://arxiv.org/pdf/2006.10132.pdf

037 (2020-06-17) Research and development of MolAICal for drug design via deep learning and classical programming

https://arxiv.org/pdf/2006.09747.pdf

038 (2020-06-17) Comparing Representations for Audio Synthesis Using Generative Adversarial Networks

https://arxiv.org/pdf/2006.09266.pdf

039 (2020-06-16) Reconstruction of turbulent data with deep generative models for semantic inpainting from TURB-Rot database

https://arxiv.org/pdf/2006.09179.pdf

040 (2020-06-16) AlphaGAN Fully Differentiable Architecture Search for Generative Adversarial Networks

https://arxiv.org/pdf/2006.09134.pdf

041 (2020-06-17) Adversarial representation learning for private speech generation

https://arxiv.org/pdf/2006.09114.pdf

042 (2020-06-16) The Bures Metric for Taming Mode Collapse in Generative Adversarial Networks

https://arxiv.org/pdf/2006.09096.pdf

043 (2020-06-16) Two steps at a time -- taking GAN training in stride with Tseng's method

https://arxiv.org/pdf/2006.09033.pdf

044 (2020-06-16) Improved Techniques for Training Score-Based Generative Models

https://arxiv.org/pdf/2006.09011.pdf

045 (2020-06-15) DeshuffleGAN A Self-Supervised GAN to Improve Structure Learning

https://arxiv.org/pdf/2006.08694.pdf

046 (2020-06-15) COT-GAN Generating Sequential Data via Causal Optimal Transport

https://arxiv.org/pdf/2006.08571.pdf

047 (2020-06-15) Reciprocal Adversarial Learning via Characteristic Functions

https://arxiv.org/pdf/2006.08413.pdf

048 (2020-06-15) GS-WGAN A Gradient-Sanitized Approach for Learning Differentially Private Generators

https://arxiv.org/pdf/2006.08265.pdf

049 (2020-06-15) AutoGAN-Distiller Searching to Compress Generative Adversarial Networks

https://arxiv.org/pdf/2006.08198.pdf

050 (2020-06-15) Non-convex Min-Max Optimization Applications Challenges and Recent Theoretical Advances

https://arxiv.org/pdf/2006.08141.pdf

2

6月上半旬

001 (2020-06-14) Classify and Generate Reciprocally Simultaneous Positive-Unlabelled Learning and Conditional Generation with Extra Data

https://arxiv.org/pdf/2006.07841.pdf

002 (2020-06-26) 2D Image Relighting with Image-to-Image Translation

https://arxiv.org/pdf/2006.07816.pdf

003 (2020-06-13) SE-MelGAN -- Speaker Agnostic Rapid Speech Enhancement

https://arxiv.org/pdf/2006.07637.pdf

004 (2020-06-12) FakePolisher Making DeepFakes More Detection-Evasive by Shallow Reconstruction

https://arxiv.org/pdf/2006.07533.pdf

005 (2020-06-12) Dynamic Attention Based Generative Adversarial Network with Phase Post-Processing for Speech Enhancement

https://arxiv.org/pdf/2006.07530.pdf

006 (2020-06-12) Defending against GAN-based Deepfake Attacks via Transformation-aware Adversarial Faces

https://arxiv.org/pdf/2006.07421.pdf

007 (2020-06-15) FedGAN Federated Generative Adversarial Networks for Distributed Data

https://arxiv.org/pdf/2006.07228.pdf

008 (2020-06-12) Rethinking Sampling in 3D Point Cloud Generative Adversarial Networks

https://arxiv.org/pdf/2006.07029.pdf

009 (2020-06-30) Improving GAN Training with Probability Ratio Clipping and Sample Reweighting

https://arxiv.org/pdf/2006.06900.pdf

010 (2020-06-11) Conditional Sampling With Monotone GANs

https://arxiv.org/pdf/2006.06755.pdf

011 (2020-06-11) Training Generative Adversarial Networks with Limited Data

https://arxiv.org/pdf/2006.06676.pdf

012 (2020-06-11) Cumulant GAN

https://arxiv.org/pdf/2006.06625.pdf

013 (2020-06-11) MatchGAN A Self-Supervised Semi-Supervised Conditional Generative Adversarial Network

https://arxiv.org/pdf/2006.06614.pdf

014 (2020-06-11) GANgster A Fraud Review Detector based on Regulated GAN with Data Augmentation

https://arxiv.org/pdf/2006.06561.pdf

015 (2020-06-11) Large-Scale Adversarial Training for Vision-and-Language Representation Learning

https://arxiv.org/pdf/2006.06195.pdf

016 (2020-06-11) On Noise Injection in Generative Adversarial Networks

https://arxiv.org/pdf/2006.05891.pdf

017 (2020-06-10) To Regularize or Not To Regularize The Bias Variance Trade-off in Regularized AEs

https://arxiv.org/pdf/2006.05838.pdf

018 (2020-05-20) Inverse Estimation of Elastic Modulus Using Physics-Informed Generative Adversarial Networks

https://arxiv.org/pdf/2006.05791.pdf

019 (2020-06-10) HiFi-GAN High-Fidelity Denoising and Dereverberation Based on Speech Deep Features in Adversarial Networks

https://arxiv.org/pdf/2006.05694.pdf

020 (2020-06-9) Conditional Sig-Wasserstein GANs for Time Series Generation

https://arxiv.org/pdf/2006.05421.pdf

021 (2020-06-9) Towards Good Practices for Data Augmentation in GAN Training

https://arxiv.org/pdf/2006.05338.pdf

022 (2020-06-17) Data Augmentation for Enhancing EEG-based Emotion Recognition with Deep Generative Models

https://arxiv.org/pdf/2006.05331.pdf

023 (2020-06-9) Approximating Lipschitz continuous functions with GroupSort neural networks

https://arxiv.org/pdf/2006.05254.pdf

024 (2020-06-9) A Survey on Generative Adversarial Networks Variants Applications and Training

https://arxiv.org/pdf/2006.05132.pdf

025 (2020-06-9) Host-Pathongen Co-evolution Inspired Algorithm Enables Robust GAN Training

https://arxiv.org/pdf/2006.04720.pdf

026 (2020-06-8) The Lipschitz Constant of Self-Attention

https://arxiv.org/pdf/2006.04710.pdf

027 (2020-06-8) ColdGANs Taming Language GANs with Cautious Sampling Strategies

https://arxiv.org/pdf/2006.04643.pdf

028 (2020-06-8) Distributional Robustness with IPMs and links to Regularization and GANs

https://arxiv.org/pdf/2006.04349.pdf

029 (2020-06-7) Generating Realistic Stock Market Order Streams

https://arxiv.org/pdf/2006.04212.pdf

030 (2020-06-6) Steganography GAN Cracking Steganography with Cycle Generative Adversarial Networks

https://arxiv.org/pdf/2006.04008.pdf

031 (2020-06-6) Conditional Neural Architecture Search

https://arxiv.org/pdf/2006.03969.pdf

032 (2020-06-6) A Generic and Model-Agnostic Exemplar Synthetization Framework for Explainable AI

https://arxiv.org/pdf/2006.03896.pdf

033 (2020-06-5) Inception Augmentation Generative Adversarial Network

https://arxiv.org/pdf/2006.03622.pdf

034 (2020-06-5) Structurally aware bidirectional unpaired image to image translation between CT and MR

https://arxiv.org/pdf/2006.03374.pdf

035 (2020-06-4) CiwGAN and fiwGAN Encoding information in acoustic data to model lexical learning with Generative Adversarial Networks

https://arxiv.org/pdf/2006.02951.pdf

036 (2020-06-3) Multiple Generative Adversarial Networks Analysis for Predicting Photographers' Retouching

https://arxiv.org/pdf/2006.02921.pdf

037 (2020-06-4) GAN-Based Facial Attractiveness Enhancement

https://arxiv.org/pdf/2006.02766.pdf

038 (2020-06-4) Some Theoretical Insights into Wasserstein GANs

https://arxiv.org/pdf/2006.02682.pdf

039 (2020-06-3) Double Generative Adversarial Networks for Conditional Independence Testing

https://arxiv.org/pdf/2006.02615.pdf

040 (2020-06-3) Rényi Generative Adversarial Networks

https://arxiv.org/pdf/2006.02479.pdf

041 (2020-06-3) RODE-Net Learning Ordinary Differential Equations with Randomness from Data

https://arxiv.org/pdf/2006.02377.pdf

042 (2020-06-15) Approximation and convergence of GANs training an SDE approach

https://arxiv.org/pdf/2006.02047.pdf

043 (2020-06-2) Ear2Face Deep Biometric Modality Mapping

https://arxiv.org/pdf/2006.01943.pdf

044 (2020-06-1) A GAN-Based Image Transformation Scheme for Privacy-Preserving Deep Neural Networks

https://arxiv.org/pdf/2006.01342.pdf

045 (2020-05-29) Improving EEG based continuous speech recognition using GAN

https://arxiv.org/pdf/2006.01260.pdf

046 (2020-06-1) Using Generative Models for Pediatric wbMRI

https://arxiv.org/pdf/2006.00727.pdf

047 (2020-05-31) G-IDS Generative Adversarial Networks Assisted Intrusion Detection System

https://arxiv.org/pdf/2006.00676.pdf

048 (2020-05-31) End-to-End Change Detection for High Resolution Drone Images with GAN Architecture

https://arxiv.org/pdf/2006.00467.pdf

049 (2020-05-29) Synthesizing lesions using contextual GANs improves breast cancer classification on mammograms

https://arxiv.org/pdf/2006.00086.pdf

050 (2020-05-29) Learning stochastic object models from medical imaging measurements using Progressively-Growing AmbientGANs

https://arxiv.org/pdf/2006.00033.pdf

本文分享自微信公众号 - 机器学习与生成对抗网络(AI_bryant8),作者:bryant8

原文出处及转载信息见文内详细说明,如有侵权,请联系 yunjia_community@tencent.com 删除。

原始发表时间:2020-07-01

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