gan.txt

CVPR,,2019,Multi-Channel Attention Selection GAN with Cascaded Semantic Guidance for Cross-View Image Translation
CVPR,,2019,CollaGAN: Collaborative GAN for Missing Image Data Imputation
CVPR,,2019,Parallel Optimal Transport GAN
CVPR,,2019,FineGAN: Unsupervised Hierarchical Disentanglement for Fine-Grained Object Generation and Discovery
CVPR,,2019,Max-Sliced Wasserstein Distance and its use for GANs
CVPR,,2019,APDrawingGAN: Generating Artistic Portrait Drawings from Face Photos with Hierarchical GANs
CVPR,,2019,WarpGAN: Automatic Caricature Generation
CVPR,,2019,GANFIT: Generative Adversarial Network Fitting for High Fidelity 3D Face Reconstruction
CVPR,,2019,SoPhie: An Attentive GAN for Predicting Paths Compliant to Social and Physical Constraints
CVPR,,2019,MirrorGAN: Learning Text-to-image Generation by Redescription
CVPR,,2019,Light Field Messaging with Deep Photographic Steganography
CVPR,,2019,Predicting Future Frames using Retrospective Cycle GAN
CVPR,,2019,Iterative Reorganization with Weak Spatial Constraints:Solving Arbitrary Jigsaw Puzzles for Unsupervised Representation Learning
CVPR,,2019,OCGAN: One-class Novelty Detection Using GANs with Constrained Latent Representations
CVPR,,2019,Mask-Guided Portrait Editing with Conditional GANs
CVPR,,2019,Multi-Channel Attention Selection GAN with Cascaded Semantic Guidance for Cross-View Image Translation
CVPR,,2019,CollaGAN: Collaborative GAN for Missing Image Data Imputation
CVPR,,2019,Spatial Fusion GAN for Image Synthesis
CVPR,,2019,STGAN: A Unified Selective Transfer Network for Arbitrary Image Attribute Editing
CVPR,,2019,Parallel Optimal Transport GAN
CVPR,,2019,Reversible GANs for Memory-efficient Image-to-Image Translation
CVPR,,2019,Detection based Defense against Adversarial Examples from the Steganalysis Point of View
CVPR,,2019,KE-GAN: Knowledge Embedded Generative Adversarial Networks for Semi-Supervised Scene Parsing
CVPR,,2019,DM-GAN: Dynamic Memory Generative Adversarial Networks for Text-to-image Synthesis
CVPR,,2019,SketchGAN: Joint Sketch Completion and Recognition with Generative Adversarial Network
CVPR,,2019,RL-GAN-Net: A Reinforcement Learning Agent Controlled GAN Network for Real-Time Point Cloud Shape Completion
CVPR,,2019,StoryGAN: A Sequential Conditional GAN for Story Visualization
CVPR,,2019,FineGAN: Unsupervised Hierarchical Disentanglement for Fine-Grained Object Generation and Discovery
CVPR,,2019,How to make a pizza: Learning a compositional layer-based GAN model
CVPR,,2019,TraVeLGAN: Image-to-image Translation by Transformation Vector Learning
CVPR,,2019,Enhancing TripleGAN for Semi-Supervised Conditional Instance Synthesis and Classification
CVPR,,2019,f-VAEGAN-D2: A Feature Generating Framework for Any-Shot Learning
CVPR,,2019,X2CT-GAN: Reconstructing CT from Biplanar X-Rays with Generative Adversarial Networks
CVPR,,2019,Max-Sliced Wasserstein Distance and its use for GANs
CVPR,,2019,APDrawingGAN: Generating Artistic Portrait Drawings from Face Photos with Hierarchical GANs
CVPR,,2019,WarpGAN: Automatic Caricature Generation
CVPR,,2019,Adv-GAN: Generator Discriminator and Adversarial Attacker
CVPR,,2019,R2GAN: Cross-modal Recipe Retrieval with Generative Adversarial Network
TIP,,2019,Improved ArtGAN for Conditional Synthesis of Natural Image and Artwork.
TIP,,2019,Gated-GAN: Adversarial Gated Networks for Multi-Collection Style Transfer.
TIP,,2019,Online Data Organizer: Micro-Video Categorization by Structure-Guided Multimodal Dictionary Learning.
ECCV,,2018,Fictitious GAN: Training GANs with Historical Models
ECCV,,2018,SOD-MTGAN: Small Object Detection via Multi-Task Generative Adversarial Network
ECCV,,2018,Recycle-GAN: Unsupervised Video Retargeting
ECCV,,2018,Generative Semantic Manipulation with Mask-Contrasting GAN
ECCV,,2018,ReenactGAN: Learning to Reenact Faces via Boundary Transfer
ECCV,,2018,AugGAN: Cross Domain Adaptation with GAN-based Data Augmentation
ECCV,,2018,Sub-GAN: An Unsupervised Generative Model via Subspaces
ECCV,,2018,ELEGANT: Exchanging Latent Encodings with GAN for Transferring Multiple Face Attributes
ECCV,,2018,Wasserstein Divergence for GANs
ECCV,,2018,Semi-supervised FusedGAN for Conditional Image Generation
ECCV,,2018,Attention-GAN for Object Transfiguration in Wild Images
ECCV,,2018,Image Generation from Sketch Constraint Using Contextual GAN
ECCV,,2018,How good is my GAN?
ECCV,,2018,Dist-GAN: An Improved GAN using Distance Constraints
ECCV,,2018,Attribute-Guided Face Generation Using Conditional CycleGAN
ECCV,,2018,GANimation: Anatomically-aware Facial Animation from a Single Image
ECCV,,2018,To learn image super-resolution use a GAN to learn how to do image degradation first
ECCV,,2018,Transferring GANs: generating images from limited data
ECCV,,2018,PM-GANs: Discriminative Representation Learning for Action Recognition Using Partial-modalities
ECCV,,2018,RefocusGAN: Scene Refocusing using a Single Image
ECCV,,2018,ExplainGAN: Model Explanation via Decision Boundary Crossing Transformations
CVPR,,2018,Person Transfer GAN to Bridge Domain Gap for Person Re-Identification
CVPR,,2018,Multi-Content GAN for Few-Shot Font Style Transfer
CVPR,,2018,GAGAN: Geometry Aware Generative Adverserial Networks
CVPR,,2018,Social GAN: Socially Acceptable Trajectories with Generative Adversarial Networks
CVPR,,2018,DeblurGAN: Blind Motion Deblurring Using Conditional Adversarial Networks
CVPR,,2018,Deep Lesion Graph in the Wild: Relationship Learning and Organization of Significant Radiology Image Findings in a Diverse Large-scale Lesion Database
CVPR,,2018,UV-GAN: Adversarial Facial UV Map Completion for Pose-invariant Face Recognition
CVPR,,2018,SeGAN: Segmenting and Generating the Invisible
CVPR,,2018,Integrated facial landmark localization and super-resolution of real-world very low resolution faces in arbitrary poses with GANs
CVPR,,2018,MoCoGAN: Decomposing Motion and Content for Video Generation
CVPR,,2018,SGAN: An Alternative Training of Generative Adversarial Networks
CVPR,,2018,Deep Photo Enhancer: Unsupervised Learning of Image Enhancement from Photographs with GANs
CVPR,,2018,Visual Feature Attribution using Wasserstein GANs
CVPR,,2018,MakeupGAN: Makeup Transfer via Cycle-Consistent Adversarial Networks
CVPR,,2018,StarGAN: Unified Generative Adversarial Networks for Controllable Multi-Domain Image-to-Image Translation
CVPR,,2018,GANerated Hands for Real-Time 3D Hand Tracking from Monocular RGB
CVPR,,2018,From source to target and back: Symmetric Bi-Directional Adaptive GAN
CVPR,,2018,Recurrent Saliency Transformation Network: Incorporating Multi-Stage Visual Cues for Small Organ Segmentation
CVPR,,2018,HashGAN: Deep Learning to Hash with Pair Conditional Wasserstein GAN
CVPR,,2018,Deformable GANs for Pose-based Human Image Generation
CVPR,,2018,Adversarial Data Programming: Using GANs to Relax the Bottleneck of Curated Labeled Data
CVPR,,2018,SketchyGAN: Towards Diverse and Realistic Sketch to Image Synthesis
CVPR,,2018,TextureGAN: Controlling Deep Image Synthesis with Texture Patches
CVPR,,2018,High-Resolution Image Synthesis and Semantic Manipulation with Conditional GANs
CVPR,,2018,DA-GAN: Instance-level Image Translation by Deep Attention Generative Adversarial Network
CVPR,,2018,AttnGAN: Fine-Grained Text to Image Generation with Attentional Generative Adversarial Networks
CVPR,,2018,CartoonGAN: Generative Adversarial Networks for Photo Cartoonization
CVPR,,2018,ST-GAN: Spatial Transformer Generative Adversarial Networks for Image Compositing
CVPR,,2018,ID-GAN: Learning a Symmetry Three-Player GAN for Identity-Preserving Face Synthesis
CVPR,,2018,SO-Net: Self-Organizing Network for Point Cloud Analysis
CVPR,,2018,Learning Face Age Progression: A Pyramid Architecture of GANs
ICLR,iclr2018,2018,Progressive Growing of GANs for Improved Quality Stability and Variation.
ICLR,iclr2018,2018,AmbientGAN: Generative models from lossy measurements.
ICLR,iclr2018,2018,Improving GANs Using Optimal Transport.
ICLR,iclr2018,2018,MaskGAN: Better Text Generation via Filling in the _______.
ICLR,iclr2018,2018,MGAN: Training Generative Adversarial Nets with Multiple Generators.
ICLR,iclr2018,2018,cGANs with Projection Discriminator.
ICLR,iclr2018,2018,Demystifying MMD GANs.
ICLR,iclr2018,2018,On the Discrimination-Generalization Tradeoff in GANs.
ICLR,iclr2018,2018,Memorization Precedes Generation: Learning Unsupervised GANs with Memory Networks.
ICLR,iclr2018,2018,GANITE: Estimation of Individualized Treatment Effects using Generative Adversarial Nets.
ICLR,iclr2018,2018,Unsupervised Cipher Cracking Using Discrete GANs.
ICLR,iclr2018,2018,Defense-GAN: Protecting Classifiers Against Adversarial Attacks Using Generative Models.
ICLR,iclr2018,2018,Quantitatively Evaluating GANs With Divergences Proposed for Training.
ICLR,iclr2018,2018,Improving GAN Training via Binarized Representation Entropy (BRE) Regularization.
ICLR,iclr2018,2018,Do GANs learn the distribution? Some Theory and Empirics.
ICLR,iclr2018,2018,Many Paths to Equilibrium: GANs Do Not Need to Decrease a Divergence At Every Step.
ICLR,iclr2018,2018,CausalGAN: Learning Causal Implicit Generative Models with Adversarial Training.
ICLR,iclr2018,2018,Training Generative Adversarial Networks via Primal-Dual subgradient Methods: a Lagrangian Perspective on GaN.
ICLR,iclr2018,2018,Coulomb GANs: Provably Optimal Nash Equilibria via Potential Fields.
ICLR,iclr2018,2018,Improving the Improved Training of Wasserstein GANs: A Consistency Term and Its Dual Effect.
ICLR,iclr2018,2018,Boundary Seeking GANs.
ICLR,iclr2018,2018,On the regularization of Wasserstein GANs.
ICLR,iclr2018,2018,Training GANs with Optimism.
ICLR,iclr2018,2018,Sobolev GAN.
ICLR,iclr2018w,2018,Learning to Organize Knowledge with N-Gram Machines.
ICLR,iclr2018w,2018,DNA-GAN: Learning Disentangled Representations from Multi-Attribute Images.
ICLR,iclr2018w,2018,3D-Scene-GAN: Three-dimensional Scene Reconstruction with Generative Adversarial Networks.
ICLR,iclr2018w,2018,NAM - Unsupervised Cross-Domain Image Mapping without Cycles or GANs.
ICLR,iclr2018w,2018,ComboGAN: Unrestricted Scalability for Image Domain Translation.
ICLR,iclr2018w,2018,Synthesizing Audio with GANs.
ICLR,iclr2018w,2018,eCommerceGAN: A Generative Adversarial Network for e-commerce.
ICLR,iclr2018w,2018,Hockey-Stick GAN.
ICLR,iclr2018w,2018,Iterative GANs for Rotating Visual Objects.
ICLR,iclr2018w,2018,Selecting the Best in GANs Family: a Post Selection Inference Framework.
ICLR,iclr2018w,2018,Semi-Supervised Learning With GANs: Revisiting Manifold Regularization.
TIP,,2018,Multi-Organ Plant Classification Based on Convolutional and Recurrent Neural Networks.
AAAI,aaai2018,2018,MuseGAN: Multi-track Sequential Generative Adversarial Networks for Symbolic Music Generation and Accompaniment.
AAAI,aaai2018,2018,On Organizing Online Soirees with Live Multi-Streaming.
AAAI,aaai2018,2018,Incorporating GAN for Negative Sampling in Knowledge Representation Learning.
AAAI,aaai2018,2018,Semi-Supervised Biomedical Translation With Cycle Wasserstein Regression GANs.
AAAI,aaai2018,2018,GraphGAN: Graph Representation Learning With Generative Adversarial Nets.
AAAI,aaai2018,2018,Flow-GAN: Combining Maximum Likelihood and Adversarial Learning in Generative Models.
AAAI,aaai2018,2018,OptionGAN: Learning Joint Reward-Policy Options Using Generative Adversarial Inverse Reinforcement Learning.
AAAI,aaai2018,2018,No Modes Left Behind: Capturing the Data Distribution Effectively Using GANs.
AAAI,aaai2018,2018,ExprGAN: Facial Expression Editing With Controllable Expression Intensity.
AAAI,aaai2018,2018,Hierarchical Nonlinear Orthogonal Adaptive-Subspace Self-Organizing Map Based Feature Extraction for Human Action Recognition.
AAAI,aaai2018,2018,CMCGAN: A Uniform Framework for Cross-Modal Visual-Audio Mutual Generation.
AAAI,aaai2018,2018,Spatio-Temporal Model for Wildlife Poaching Prediction Evaluated Through a Controlled Field Test in Uganda.
AAAI,aaai2018,2018,Dialogue Generation With GAN.
AAAI,aaai2018w,2018,Steganographic Internet of Things: Graph Topology Timing Channels.
AAAI,aaai2018w,2018,Evaluation of Predictive Models for Wildlife Poaching Activity through Controlled Field Test in Uganda.
IJCAI,ijcai2018,2018,MEGAN: Mixture of Experts of Generative Adversarial Networks for Multimodal Image Generation.
IJCAI,ijcai2018,2018,Dual Conditional GANs for Face Aging and Rejuvenation.
IJCAI,ijcai2018,2018,CR-GAN: Learning Complete Representations for Multi-view Generation.
IJCAI,ijcai2018,2018,Visual Data Synthesis via GAN for Zero-Shot Video Classification.
IJCAI,ijcai2018,2018,DehazeGAN: When Image Dehazing Meets Differential Programming.
IJCAI,ijcai2018,2018,MIXGAN: Learning Concepts from Different Domains for Mixture Generation.
IJCAI,ijcai2018,2018,Unpaired Multi-Domain Image Generation via Regularized Conditional GANs.
IJCAI,ijcai2018,2018,CAGAN: Consistent Adversarial Training Enhanced GANs.
IJCAI,ijcai2018,2018,Mixture of GANs for Clustering.
IJCAI,ijcai2018,2018,Cascaded SR-GAN for Scale-Adaptive Low Resolution Person Re-identification.
IJCAI,ijcai2018,2018,EZLearn: Exploiting Organic Supervision in Automated Data Annotation.
IJCAI,ijcai2018,2018,SentiGAN: Generating Sentimental Texts via Mixture Adversarial Networks.
IJCAI,ijcai2018,2018,Organizing Experience: a Deeper Look at Replay Mechanisms for Sample-Based Planning in Continuous State Domains.
IJCAI,madima2018,2018,SRGAN for super-resolving low-resolution food images.
IJCAI,madima2018,2018,Food category transfer with conditional cycleGAN and a large-scale food image dataset.
IJCAI,madima2018,2018,Food image generation using a large amount of food images with conditional GAN: ramenGAN and recipeGAN.
IJCAI,aih2018,2018,Proceedings of the First Joint Workshop on AI in Health organized as part of the Federated AI Meeting (FAIM 2018) co-located with AAMAS 2018 ICML 2018 IJCAI 2018 and ICCBR 2018 Stockholm Sweden July 13-14 2018.
NIPS,nips2018,2018,Soft-Gated Warping-GAN for Pose-Guided Person Image Synthesis.
NIPS,nips2018,2018,Are GANs Created Equal? A Large-Scale Study.
NIPS,nips2018,2018,KDGAN: Knowledge Distillation with Generative Adversarial Networks.
NIPS,nips2018,2018,FD-GAN: Pose-guided Feature Distilling GAN for Robust Person Re-identification.
NIPS,nips2018,2018,PacGAN: The power of two samples in generative adversarial networks.
NIPS,nips2018,2018,BourGAN: Generative Networks with Metric Embeddings.
NIPS,nips2018,2018,MetaGAN: An Adversarial Approach to Few-Shot Learning.
NIPS,nips2018,2018,BinGAN: Learning Compact Binary Descriptors with a Regularized GAN.
NIPS,nips2018,2018,A Convex Duality Framework for GANs.
NIPS,nips2018,2018,On GANs and GMMs.
NIPS,nips2018,2018,Memory Replay GANs: Learning to Generate New Categories without Forgetting.
NIPS,nips2018,2018,On gradient regularizers for MMD GANs.
NIPS,nips2018,2018,Banach Wasserstein GAN.
NIPS,nips2018,2018,Unorganized Malicious Attacks Detection.
NIPS,nips2018,2018,On the Convergence and Robustness of Training GANs with Regularized Optimal Transport.
NIPS,nips2018,2018,Learning Plannable Representations with Causal InfoGAN.
NIPS,nips2018,2018,Robustness of conditional GANs to noisy labels.
ACMMM,,2018,EmotionGAN: Unsupervised Domain Adaptation for Learning Discrete Probability Distributions of Image Emotions
ACMMM,,2018,BeautyGAN: Instance-level Facial Makeup Transfer with Deep Generative Adversarial Network
ACMMM,,2018,ChipGAN: A Generative Adversarial Network for Chinese Ink Wash Painting Style Transfer
ACMMM,,2018,GestureGAN for Hand Gesture-to-Gesture Translation in the Wild
ICML,icml2018,2018,Augmented CycleGAN: Learning Many-to-Many Mappings from Unpaired Data.
ICML,icml2018,2018,MAGAN: Aligning Biological Manifolds.
ICML,icml2018,2018,NetGAN: Generating Graphs via Random Walks.
ICML,icml2018,2018,Mixed batches and symmetric discriminators for GAN training.
ICML,icml2018,2018,On the Limitations of First-Order Approximation in GAN Dynamics.
ICML,icml2018,2018,A Two-Step Computation of the Exact GAN Wasserstein Distance.
ICML,icml2018,2018,Which Training Methods for GANs do actually Converge?
ICML,icml2018,2018,Is Generator Conditioning Causally Related to GAN Performance?
ICML,icml2018,2018,JointGAN: Multi-Domain Joint Distribution Learning with Generative Adversarial Nets.
ICML,icml2018,2018,A Classification-Based Study of Covariate Shift in GAN Distributions.
ICML,icml2018,2018,RadialGAN: Leveraging multiple datasets to improve target-specific predictive models using Generative Adversarial Networks.
CVPR,,2017,Crossing Nets: Combining GANs and VAEs with a Shared Latent Space for Hand Pose Estimation.
CVPR,,2017,Disentangled Representation Learning GAN for Pose-Invariant Face Recognition.
CVPR,,2017,Spatio-Temporal Self-Organizing Map Deep Network for Dynamic Object Detection from Videos.
CVPR,,2017,Parsing Images of Overlapping Organisms with Deep Singling-Out Networks.
CVPR,,2017,DeLiGAN: Generative Adversarial Networks for Diverse and Limited Data.
CVPR,W,2017,Infrared Image Colorization Based on a Triplet DCGAN Architecture.
CVPR,W,2017,GaitGAN: Invariant Gait Feature Extraction Using Generative Adversarial Networks.
CVPR,W,2017,DyadGAN: Generating Facial Expressions in Dyadic Interactions.
ICLR,iclr2017,2017,Multilayer Recurrent Network Models of Primate Retinal Ganglion Cell Responses.
ICLR,iclr2017,2017,LR-GAN: Layered Recursive Generative Adversarial Networks for Image Generation.
ICLR,iclr2017w,2017,RenderGAN: Generating Realistic Labeled Data.
ICLR,iclr2017w,2017,Training Triplet Networks with GAN.
TIP,,2017,Comments on "Steganography Using Reversible Texture Synthesis".
ICCV,,2017,Dual Motion GAN for Future-Flow Embedded Video Prediction.
ICCV,,2017,GANs for Biological Image Synthesis.
ICCV,,2017,Beyond Face Rotation: Global and Local Perception GAN for Photorealistic and Identity Preserving Frontal View Synthesis.
ICCV,,2017,CVAE-GAN: Fine-Grained Image Generation through Asymmetric Training.
ICCV,,2017,DualGAN: Unsupervised Dual Learning for Image-to-Image Translation.
ICCV,,2017,Towards Diverse and Natural Image Descriptions via a Conditional GAN.
ICCV,,2017,Recurrent Topic-Transition GAN for Visual Paragraph Generation.
ICCV,,2017,Unlabeled Samples Generated by GAN Improve the Person Re-identification Baseline in Vitro.
ICCV,,2017,Self-Organized Text Detection with Minimal Post-processing via Border Learning.
ICCV,,2017,Realistic Dynamic Facial Textures from a Single Image Using GANs.
ICCV,,2017,StackGAN: Text to Photo-Realistic Image Synthesis with Stacked Generative Adversarial Networks.
ICCV,W,2017,Max-Boost-GAN: Max Operation to Boost Generative Ability of Generative Adversarial Networks.
ICCV,W,2017,Doppelganger Mining for Face Representation Learning.
ICCV,W,2017,ARIGAN: Synthetic Arabidopsis Plants Using Generative Adversarial Network.
ICCV,W,2017,The Conditional Analogy GAN: Swapping Fashion Articles on People Images.
AAAI,aaai2017,2017,Contextual RNN-GANs for Abstract Reasoning Diagram Generation.
AAAI,aaai2017,2017,Personalized Donor-Recipient Matching for Organ Transplantation.
AAAI,aaai2017,2017,SeqGAN: Sequence Generative Adversarial Nets with Policy Gradient.
AAAI,aaai2017,2017,Leveraging Saccades to Learn Smooth Pursuit: A Self-Organizing Motion Tracking Model Using Restricted Boltzmann Machines.
IJCAI,ijcai2017,2017,Mechanisms for Online Organ Matching.
NIPS,nips2017,2017,Dual-Agent GANs for Photorealistic and Identity Preserving Profile Face Synthesis.
NIPS,nips2017,2017,f-GANs in an Information Geometric Nutshell.
NIPS,nips2017,2017,The Numerics of GANs.
NIPS,nips2017,2017,Generating steganographic images via adversarial training.
NIPS,nips2017,2017,PixelGAN Autoencoders.
NIPS,nips2017,2017,Hiding Images in Plain Sight: Deep Steganography.
NIPS,nips2017,2017,MMD GAN: Towards Deeper Understanding of Moment Matching Network.
NIPS,nips2017,2017,Fisher GAN.
NIPS,nips2017,2017,Predicting Organic Reaction Outcomes with Weisfeiler-Lehman Network.
NIPS,nips2017,2017,VEEGAN: Reducing Mode Collapse in GANs using Implicit Variational Learning.
NIPS,nips2017,2017,Bayesian GAN.
NIPS,nips2017,2017,AdaGAN: Boosting Generative Models.
NIPS,nips2017,2017,Semi-supervised Learning with GANs: Manifold Invariance with Improved Inference.
NIPS,nips2017,2017,Gradient descent GAN optimization is locally stable.
NIPS,nips2017,2017,Dualing GANs.
NIPS,nips2017,2017,Improved Training of Wasserstein GANs.
NIPS,nips2017,2017,Generalizing GANs: A Turing Perspective.
NIPS,nips2017,2017,Good Semi-supervised Learning That Requires a Bad GAN.
NIPS,nips2017,2017,GANs Trained by a Two Time-Scale Update Rule Converge to a Local Nash Equilibrium.
ACMMM,mm2017,2017,Region-based Activity Recognition Using Conditional GAN.
ACMMM,mm2017,2017,Beyond Human-level License Plate Super-resolution with Progressive Vehicle Search and Domain Priori GAN.
ACMMM,mm2017,2017,Deep Supervised Quantization by Self-Organizing Map.
ICML,icml2017,2017,Generalization and Equilibrium in Generative Adversarial Nets (GANs).
ICML,icml2017,2017,Learning Texture Manifolds with the Periodic Spatial GAN.
ICML,icml2017,2017,McGan: Mean and Covariance Feature Matching GAN.
ICML,icml2017,2017,Conditional Image Synthesis with Auxiliary Classifier GANs.