【CVPR2019】GAN相关论文汇总 往年入口:Xf Mao:【CVPR2018】GAN相关论文汇总 分析:今年CVPR上GAN依然是最大赢家,而且有往多个新领域发展的趋势。今年GAN最热门的应用领域在风格迁移/image-to-image translation,以及 domain adaptation 两个大方向,另外用GAN挖新坑的工作也不少。 这次整理的比较全,开源论文附源码链接,有信息不全或纰漏请指出! 一、 GAN改进 Label-Noise Robust Generative Adversarial Networks [code] Spatial Fusion GAN for Image SynthesisSliced Wasserstein Generative Models [code]Sphere Generative Adversarial Network Based on Geometric Moment Matching [code]A Style-Based Generator Architecture for Generative Adversarial Networks [code] Parallel Optimal Transport GANMixture Density Generative Adversarial NetworksFineGAN: Unsupervised Hierarchical Disentanglement for Fine-Grained Object Generation and Discovery [code] Conditional Adversarial Generative Flow for Controllable Image Synthesis Max-Sliced Wasserstein Distance and Its Use for GANsOn Stabilizing Generative Adversarial Training With NoiseFeedback Adversarial Learning: Spatial Feedback for Improving Generative Adversarial NetworksSelf-Supervised GANs via Auxiliary Rotation Loss [code] 二、图像合成: 1. 文字->图像MirrorGAN: Learning Text-To-Image Generation by Redescription Semantics Disentangling for Text-to-Image Generation DM-GAN: Dynamic Memory Generative Adversarial Networks for Text-To-Image SynthesisStoryGAN: A Sequential Conditional GAN for Story Visualization [code]Text2Scene: Generating Compositional Scenes from Textual Descriptions [code] Object-Driven Text-To-Image Synthesis via Adversarial Training 2. 风格迁移/Image-to-Image TranslationMode Seeking Generative Adversarial Networks for Diverse Image Synthesis [code]Latent Filter Scaling for Multimodal Unsupervised Image-to-Image Translation Semantic Image Synthesis with Spatially-Adaptive Normalization [code] [demo] Progressive Pose Attention Transfer for Person Image Generation [code] [demo] Attention-aware Multi-stroke Style Transfer [code]Example-Guided Style-Consistent Image Synthesis from Semantic LabelingIm2Pencil: Controllable Pencil Illustration From Photographs [code] Deep Network Interpolation for Continuous Imagery Effect Transition [code]Homomorphic Latent Space Interpolation for Unpaired Image-to-image Translation [code]Multi-Channel Attention Selection GAN With Cascaded Semantic Guidance for Cross-View Image Translation [code] Geometry-Consistent Generative Adversarial Networks for One-Sided Unsupervised Domain MappingCollaGAN: Collaborative GAN for Missing Image Data Imputation Towards Instance-level Image-to-Image TranslationReversible GANs for Memory-Efficient Image-To-Image Translation [code]Art2Real: Unfolding the Reality of Artworks via Semantically-Aware Image-To-Image Translation [code]TransGaGa: Geometry-Aware Unsupervised Image-to-Image TranslationTraVeLGAN: Image-To-Image Translation by Transformation Vector LearningA Content Transformation Block For Image Style Transfer [code]Image-to-Image Translation via Group-wise Deep Whitening-and-Coloring Transformation APDrawingGAN: Generating Artistic Portrait Drawings from Face Photos with Hierarchical GANs WarpGAN: Automatic Caricature Generation [code] 3. domain adaptationCrDoCo: Pixel-level Domain Transfer with Cross-Domain ConsistencyBlending-Target Domain Adaptation by Adversarial Meta-Adaptation Networks [code] DLOW: Domain Flow for Adaptation and GeneralizationTaking a Closer Look at Domain Shift: Category-Level Adversaries for Semantics Consistent Domain Adaptation [code] ADVENT: Adversarial Entropy Minimization for Domain Adaptation in Semantic Segmentation [code] Gotta Adapt Em All: Joint Pixel and Feature-Level Domain Adaptation for Recognition in the WildUniversal Domain Adaptation [code]Domain-Symmetric Networks for Adversarial Domain AdaptationUnsupervised Domain Adaptation for ToF Data Denoising With Adversarial LearningBidirectional Learning for Domain Adaptation of Semantic Segmentation [code]4. InpaintingPluralistic Image Completion [code] [demo] Learning Pyramid-Context Encoder Network for High-Quality Image Inpainting [code]Foreground-aware Image Inpainting5. 图像增强:超分辨/去雾/去雨/去模糊Heavy Rain Image Restoration: Integrating Physics Model and Conditional Adversarial LearningEnhanced Pix2pix Dehazing Network [code]Image Super-Resolution by Neural Texture TransferUnsupervised Domain-Specific Deblurring via Disentangled Representations 三、语义分割/图像理解 All about Structure: Adapting Structural Information across Domains for Boosting Semantic Segmentation Learning Semantic Segmentation from Synthetic Data: A Geometrically Guided Input-Output Adaptation ApproachScene Graph Generation with External Knowledge and Image ReconstructionLearning Words by Drawing ImagesAdversarial Structure Matching for Structured Prediction TasksNot All Areas Are Equal: Transfer Learning for Semantic Segmentation via Hierarchical Region SelectionKE-GAN: Knowledge Embedded Generative Adversarial Networks for Semi-Supervised Scene Parsing 四、人脸/行人 1. 人脸/行人生成Mask-Guided Portrait Editing with Conditional GANsText Guided Person Image SynthesisDense Intrinsic Appearance Flow for Human Pose TransferHierarchical Cross-Modal Talking Face Generation with Dynamic Pixel-Wise LossAttribute-Aware Face Aging With Wavelet-Based Generative Adversarial Networks2. 人脸识别Decorrelated Adversarial Learning for Age-Invariant Face RecognitionR 3 Adversarial Network for Cross Model Face RecognitionMulti-adversarial Discriminative Deep Domain Generalization for Face Presentation Attack Detection3. 人脸重建GANFIT: Generative Adversarial Network Fitting for High Fidelity 3D Face Reconstruction [code] 五、视频合成 Predicting Future Frames using Retrospective Cycle GANVideo Generation from Single Semantic Label MapInserting Videos into VideosEvent-based High Dynamic Range Image and Very High Frame Rate Video Generation using Conditional Generative Adversarial NetworksEnd-To-End Time-Lapse Video Synthesis From a Single Outdoor ImageGIF2Video: Color Dequantization and Temporal Interpolation of GIF ImagesAnimating Arbitrary Objects via Deep Motion Transfer [code] 六、图像编辑 STGAN: A Unified Selective Transfer Network for Arbitrary Image Attribute Editing [code]Mask-Guided Portrait Editing with Conditional GANsConstrained Generative Adversarial Networks for Interactive Image Generation 七、Zero-Shot learning Gradient Matching Generative Networks for Zero-Shot Learning Generative Dual Adversarial Network for Generalized Zero-shot Learning 八、模型压缩 Towards Optimal Structured CNN Pruning via Generative Adversarial Learning [code] 九、Caption Unsupervised Image Captioning [code] MSCap: Multi-Style Image Captioning with Unpaired Stylized TextAdversarial Inference for Multi-Sentence Video DescriptionAdversarial Semantic Alignment for Improved Image Captions 十、无监督聚类 Balanced Self-Paced Learning for Generative Adversarial Clustering Network 十一、3D合成 Synthesizing 3D Shapes From Silhouette Image Collections Using Multi-Projection Generative Adversarial NetworksRL-GAN-Net: A Reinforcement Learning Agent Controlled GAN Network for Real-Time Point Cloud Shape Completion [code]Nesti-Net: Normal Estimation for Unstructured 3D Point Clouds Using Convolutional Neural Networks 十二、识别 SketchGAN: Joint Sketch Completion and Recognition with Generative Adversarial NetworkJoint Discriminative and Generative Learning for Person Re-identificationEnhancing TripleGAN for Semi-Supervised Conditional Instance Synthesis and Classificationf-VAEGAN-D2: A Feature Generating Framework for Any-Shot Learning 十三、对抗攻击 Rob-GAN: Generator, Discriminator and Adversarial Attacker [code] MeshAdv: Adversarial Meshes for Visual Recognition 十四、New Applications Listen to the ImageHow to make a pizza: Learning a compositional layer-based GAN modelImage Generation from Layout BeautyGlow: On-Demand Makeup Transfer Framework with Reversible Generative Network [code] [demo] X2CT-GAN: Reconstructing CT From Biplanar X-Rays With Generative Adversarial NetworksA Generative Adversarial Density EstimatorSoPhie: An Attentive GAN for Predicting Paths Compliant to Social and Physical ConstraintsDMC-Net: Generating Discriminative Motion Cues for Fast Compressed Video Action RecognitionOCGAN: One-class Novelty Detection Using GANs with Constrained Latent Representations 推荐阅读: 相关文章 {{#data}} {{title}} {{/data}}