2020年6月100篇最新GAN论文汇总

    技术2022-07-12  81

    点击上方“机器学习与生成对抗网络”,关注"星标"

    获取有趣、好玩的前沿干货!

     戳我,查看GAN的系列专辑~!

    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

    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

    猜您喜欢: 超100篇!CVPR 2020最全GAN论文梳理汇总! 拆解组新的GAN:解耦表征MixNMatch StarGAN第2版:多域多样性图像生成 附下载 | 《可解释的机器学习》中文版 附下载 |《TensorFlow 2.0 深度学习算法实战》 附下载 |《计算机视觉中的数学方法》分享 《基于深度学习的表面缺陷检测方法综述》 《零样本图像分类综述: 十年进展》 《基于深度神经网络的少样本学习综述》
    Processed: 0.010, SQL: 9