最新 | 2021年11月90篇GAN/对抗论文汇总

机器学习与生成对抗网络

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2021-12-13 19:02


 戳我,查看GAN的系列专辑~!

等你着陆!【GAN生成对抗网络】知识星球!


001  (2021-12-8) Adverse Weather Image Translation with Asymmetric and Uncertainty-aware GAN
     https://arxiv.org/pdf/2112.04283.pdf

002  (2021-12-8) Assessing a Single Image in Reference-Guided Image Synthesis
     https://arxiv.org/pdf/2112.04163.pdf

003  (2021-12-8) Feature Statistics Mixing Regularization for Generative Adversarial Networks
     https://arxiv.org/pdf/2112.04120.pdf

004  (2021-11-30) Generative Adversarial Network (GAN) and Enhanced Root Mean Square Error (ERMSE)  Deep Learning for Stock Price Movement Prediction
     https://arxiv.org/pdf/2112.03946.pdf

005  (2021-12-7) Synthetic Acute Hypotension and Sepsis Datasets Based on MIMIC-III and Published as Part of the Health Gym Project
     https://arxiv.org/pdf/2112.03914.pdf

006  (2021-12-7) Physics guided deep learning generative models for crystal materials discovery
     https://arxiv.org/pdf/2112.03528.pdf

007  (2021-12-6) Generative Adversarial Networks for Labeled Data Creation for Structural Damage Detection
     https://arxiv.org/pdf/2112.03478.pdf

008  (2021-12-6) Top-Down Deep Clustering with Multi-generator GANs
     https://arxiv.org/pdf/2112.03398.pdf

009  (2021-12-5) Synthetic ECG Signal Generation Using Generative Neural Networks
     https://arxiv.org/pdf/2112.03268.pdf

010  (2021-12-6) CSG0  Continual Urban Scene Generation with Zero Forgetting
     https://arxiv.org/pdf/2112.03252.pdf

011  (2021-12-6) Controllable Animation of Fluid Elements in Still Images
     https://arxiv.org/pdf/2112.03051.pdf

012  (2021-12-5) Generative Modeling of Turbulence
     https://arxiv.org/pdf/2112.02548.pdf

013  (2021-12-4) PreGAN  Preemptive Migration Prediction Network for Proactive Fault-Tolerant Edge Computing
     https://arxiv.org/pdf/2112.02292.pdf

014  (2021-12-3) Panoptic-based Object Style-Align for Image-to-Image Translation
     https://arxiv.org/pdf/2112.01926.pdf

015  (2021-12-3) Generative Adversarial Networks for Synthetic Data Generation  A Comparative Study
     https://arxiv.org/pdf/2112.01925.pdf

016  (2021-12-3) Semantic Map Injected GAN Training for Image-to-Image Translation
     https://arxiv.org/pdf/2112.01845.pdf

017  (2021-12-3) Music-to-Dance Generation with Optimal Transport
     https://arxiv.org/pdf/2112.01806.pdf

018  (2021-12-2) Altering Facial Expression Based on Textual Emotion
     https://arxiv.org/pdf/2112.01454.pdf

019  (2021-12-1) Improving GAN Equilibrium by Raising Spatial Awareness
     https://arxiv.org/pdf/2112.00718.pdf

020  (2021-12-1) CYBORG  Blending Human Saliency Into the Loss Improves Deep Learning
     https://arxiv.org/pdf/2112.00686.pdf

021  (2021-11-30) Adversarial Attacks Against Deep Generative Models on Data  A Survey
     https://arxiv.org/pdf/2112.00247.pdf

022  (2021-11-30) Convergence of GANs Training  A Game and Stochastic Control Methodology
     https://arxiv.org/pdf/2112.00222.pdf

023  (2021-11-30) FMD-cGAN  Fast Motion Deblurring using Conditional Generative Adversarial Networks
     https://arxiv.org/pdf/2111.15438.pdf

024  (2021-11-30) Using a GAN to Generate Adversarial Examples to Facial Image Recognition
     https://arxiv.org/pdf/2111.15213.pdf

025  (2021-11-30) Generative Convolution Layer for Image Generation
     https://arxiv.org/pdf/2111.15171.pdf

026  (2021-11-30) Improvement in Machine Translation with Generative Adversarial Networks
     https://arxiv.org/pdf/2111.15166.pdf

027  (2021-11-29) EAGAN  Efficient Two-stage Evolutionary Architecture Search for GANs
     https://arxiv.org/pdf/2111.15097.pdf

028  (2021-11-29) GAN-CNMP  An Interactive Generative Drawing Tool
     https://arxiv.org/pdf/2111.14934.pdf

029  (2021-11-29) Energy-Efficient Implementation of Generative Adversarial Networks on Passive RRAM Crossbar Arrays
     https://arxiv.org/pdf/2111.14484.pdf

030  (2021-11-29) Unsupervised Image Denoising with Frequency Domain Knowledge
     https://arxiv.org/pdf/2111.14362.pdf

031  (2021-11-28) SwiftSRGAN -- Rethinking Super-Resolution for Efficient and Real-time Inference
     https://arxiv.org/pdf/2111.14320.pdf

032  (2021-11-28) On Predicting Generalization using GANs
     https://arxiv.org/pdf/2111.14212.pdf

033  (2021-11-28) How Deep Are the Fakes  Focusing on Audio Deepfake  A Survey
     https://arxiv.org/pdf/2111.14203.pdf

034  (2021-11-26) DP-SGD vs PATE  Which Has Less Disparate Impact on GANs 
     https://arxiv.org/pdf/2111.13617.pdf

035  (2021-11-25) Generative Adversarial Networks and Adversarial Autoencoders  Tutorial and Survey
     https://arxiv.org/pdf/2111.13282.pdf

036  (2021-11-24) Morphological feature visualization of Alzheimer's disease via Multidirectional Perception GAN
     https://arxiv.org/pdf/2111.12886.pdf

037  (2021-11-24) Optimizing Latent Space Directions For GAN-based Local Image Editing
     https://arxiv.org/pdf/2111.12583.pdf

038  (2021-11-24) A Method for Evaluating the Capacity of Generative Adversarial Networks to Reproduce High-order Spatial Context
     https://arxiv.org/pdf/2111.12577.pdf

039  (2021-11-24) LDDMM meets GANs  Generative Adversarial Networks for diffeomorphic registration
     https://arxiv.org/pdf/2111.12544.pdf

040  (2021-11-24) Markov Chain Generative Adversarial Neural Networks for Solving Bayesian Inverse Problems in Physics Applications
     https://arxiv.org/pdf/2111.12408.pdf

041  (2021-11-23) Three-Way Deep Neural Network for Radio Frequency Map Generation and Source Localization
     https://arxiv.org/pdf/2111.12175.pdf

042  (2021-11-23) Multi-Modality Microscopy Image Style Transfer for Nuclei Segmentation
     https://arxiv.org/pdf/2111.12138.pdf

043  (2021-11-23) Tensor Component Analysis for Interpreting the Latent Space of GANs
     https://arxiv.org/pdf/2111.11736.pdf

044  (2021-11-22) Unsupervised COVID-19 Lesion Segmentation in CT Using Cycle Consistent Generative Adversarial Network
     https://arxiv.org/pdf/2111.11602.pdf

045  (2021-11-22) Generative Adversarial Networks for Astronomical Images Generation
     https://arxiv.org/pdf/2111.11578.pdf

046  (2021-11-22) Cycle Consistent Probability Divergences Across Different Spaces
     https://arxiv.org/pdf/2111.11328.pdf

047  (2021-11-20) AGA-GAN  Attribute Guided Attention Generative Adversarial Network with U-Net for Face Hallucination
     https://arxiv.org/pdf/2111.10591.pdf

048  (2021-11-19) Adversarial Deep Learning for Online Resource Allocation
     https://arxiv.org/pdf/2111.10285.pdf

049  (2021-11-19) Towards Efficiently Evaluating the Robustness of Deep Neural Networks in IoT Systems  A GAN-based Method
     https://arxiv.org/pdf/2111.10055.pdf

050  (2021-11-18) One-Shot Generative Domain Adaptation
     https://arxiv.org/pdf/2111.09876.pdf

051  (2021-11-17) Self-Attending Task Generative Adversarial Network for Realistic Satellite Image Creation
     https://arxiv.org/pdf/2111.09463.pdf

052  (2021-11-17) MASS  Mobile Autonomous Station Simulation
     https://arxiv.org/pdf/2111.09161.pdf

053  (2021-11-18) Generating Unrestricted 3D Adversarial Point Clouds
     https://arxiv.org/pdf/2111.08973.pdf

054  (2021-11-16) A Latent Encoder Coupled Generative Adversarial Network (LE-GAN) for Efficient Hyperspectral Image Super-resolution
     https://arxiv.org/pdf/2111.08685.pdf

055  (2021-11-16) Towards Generating Real-World Time Series Data
     https://arxiv.org/pdf/2111.08386.pdf

056  (2021-11-15) FedCG  Leverage Conditional GAN for Protecting Privacy and Maintaining Competitive Performance in Federated Learning
     https://arxiv.org/pdf/2111.08211.pdf

057  (2021-11-15) Deep Diffusion Models for Robust Channel Estimation
     https://arxiv.org/pdf/2111.08177.pdf

058  (2021-11-18) Deep Hedging  Learning to Remove the Drift under Trading Frictions with Minimal Equivalent Near-Martingale Measures
     https://arxiv.org/pdf/2111.07844.pdf

059  (2021-11-15) Property Inference Attacks Against GANs
     https://arxiv.org/pdf/2111.07608.pdf

060  (2021-11-12) Introducing Variational Autoencoders to High School Students
     https://arxiv.org/pdf/2111.07036.pdf

061  (2021-11-12) Deceive D  Adaptive Pseudo Augmentation for GAN Training with Limited Data
     https://arxiv.org/pdf/2111.06849.pdf

062  (2021-11-10) A Multi-attribute Controllable Generative Model for Histopathology Image Synthesis
     https://arxiv.org/pdf/2111.06398.pdf

063  (2021-11-8) Adversarial sampling of unknown and high-dimensional conditional distributions
     https://arxiv.org/pdf/2111.05962.pdf

064  (2021-11-9) Training Generative Adversarial Networks with Adaptive Composite Gradient
     https://arxiv.org/pdf/2111.05508.pdf

065  (2021-11-8) SAFA  Structure Aware Face Animation
     https://arxiv.org/pdf/2111.04928.pdf

066  (2021-11-8) Accelerating GAN training using highly parallel hardware on public cloud
     https://arxiv.org/pdf/2111.04628.pdf

067  (2021-11-7) SL-CycleGAN  Blind Motion Deblurring in Cycles using Sparse Learning
     https://arxiv.org/pdf/2111.04026.pdf

068  (2021-11-7) Multi-Fake Evolutionary Generative Adversarial Networks for Imbalance Hyperspectral Image Classification
     https://arxiv.org/pdf/2111.04019.pdf

069  (2021-11-5) Reconstructing Training Data from Diverse ML Models by Ensemble Inversion
     https://arxiv.org/pdf/2111.03702.pdf

070  (2021-11-5) ActFloor-GAN  Activity-Guided Adversarial Networks for Human-Centric Floorplan Design
     https://arxiv.org/pdf/2111.03545.pdf

071  (2021-11-4) EditGAN  High-Precision Semantic Image Editing
     https://arxiv.org/pdf/2111.03186.pdf

072  (2021-11-4) GraN-GAN  Piecewise Gradient Normalization for Generative Adversarial Networks
     https://arxiv.org/pdf/2111.03162.pdf

073  (2021-11-4) Generating Diverse Realistic Laughter for Interactive Art
     https://arxiv.org/pdf/2111.03146.pdf

074  (2021-11-4) Physics-Guided Generative Adversarial Networks for Sea Subsurface Temperature Prediction
     https://arxiv.org/pdf/2111.03064.pdf

075  (2021-11-4) Adversarial GLUE  A Multi-Task Benchmark for Robustness Evaluation of Language Models
     https://arxiv.org/pdf/2111.02840.pdf

076  (2021-11-26) Convolutional generative adversarial imputation networks for spatio-temporal missing data in storm surge simulations
     https://arxiv.org/pdf/2111.02823.pdf

077  (2021-11-3) On the Frequency Bias of Generative Models
     https://arxiv.org/pdf/2111.02447.pdf

078  (2021-11-3) Improving Model Compatibility of Generative Adversarial Networks by Boundary Calibration
     https://arxiv.org/pdf/2111.02316.pdf

079  (2021-11-2) Spiking Generative Adversarial Networks With a Neural Network Discriminator  Local Training Bayesian Models and Continual Meta-Learning
     https://arxiv.org/pdf/2111.01750.pdf

080  (2021-11-1) When Does Contrastive Learning Preserve Adversarial Robustness from Pretraining to Finetuning 
     https://arxiv.org/pdf/2111.01124.pdf

081  (2021-11-1) Rebooting ACGAN  Auxiliary Classifier GANs with Stable Training
     https://arxiv.org/pdf/2111.01118.pdf

082  (2021-11-1) FREGAN   an application of generative adversarial networks in enhancing the frame rate of videos
     https://arxiv.org/pdf/2111.01105.pdf

083  (2021-11-1) MOST-GAN  3D Morphable StyleGAN for Disentangled Face Image Manipulation
     https://arxiv.org/pdf/2111.01048.pdf

084  (2021-11-1) Projected GANs Converge Faster
     https://arxiv.org/pdf/2111.01007.pdf

085  (2021-11-2) RefineGAN  Universally Generating Waveform Better than Ground Truth with Highly Accurate Pitch and Intensity Responses
     https://arxiv.org/pdf/2111.00962.pdf

086  (2021-10-29) SVBRDF Recovery From a Single Image With Highlights using a Pretrained Generative Adversarial Network
     https://arxiv.org/pdf/2111.00943.pdf

087  (2021-10-31) Generative learning for the problem of critical slowing down in lattice Gross Neveu model
     https://arxiv.org/pdf/2111.00574.pdf

088  (2021-10-30) ECG synthesis with Neural ODE and GAN models
     https://arxiv.org/pdf/2111.00314.pdf

089  (2021-10-30) Modelling and simulating spatial extremes by combining extreme value theory with generative adversarial networks
     https://arxiv.org/pdf/2111.00267.pdf

090  (2021-11-1) Visual Explanations for Convolutional Neural Networks via Latent Traversal of Generative Adversarial Networks
     https://arxiv.org/pdf/2111.00116.pdf



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