{"total":115,"rows":[{"id":"2108.01073","title":"SDEdit: Guided Image Synthesis and Editing with Stochastic Differential Equations","created":"2021-08-02","cited_by_count":1937,"area":null},{"id":"2101.05278","title":"GAN Inversion: A Survey","created":"2021-01-14","cited_by_count":367,"area":null},{"id":"2302.10663","title":"RealFusion: 360{\\deg} Reconstruction of Any Object from a Single Image","created":"2023-02-21","cited_by_count":306,"area":null},{"id":"2111.03186","title":"EditGAN: High-Precision Semantic Image Editing","created":"2021-11-04","cited_by_count":156,"area":null},{"id":"2104.05833","title":"Semantic Segmentation with Generative Models: Semi-Supervised Learning and Strong Out-of-Domain Generalization","created":"2021-04-12","cited_by_count":141,"area":null},{"id":"2103.09396","title":"Pros and Cons of GAN Evaluation Measures: New Developments","created":"2021-03-17","cited_by_count":123,"area":null},{"id":"2112.03184","title":"HIVE: Evaluating the Human Interpretability of Visual Explanations","created":"2021-12-06","cited_by_count":105,"area":null},{"id":"2110.14962","title":"Gradient Inversion with Generative Image Prior","created":"2021-10-28","cited_by_count":101,"area":null},{"id":"2112.00412","title":"The Majority Can Help The Minority: Context-rich Minority Oversampling for Long-tailed Classification","created":"2021-12-01","cited_by_count":100,"area":null},{"id":"2106.06819","title":"D2C: Diffusion-Denoising Models for Few-shot Conditional Generation","created":"2021-06-12","cited_by_count":96,"area":null},{"id":"2101.07241","title":"Learning by Watching: Physical Imitation of Manipulation Skills from Human Videos","created":"2021-01-18","cited_by_count":87,"area":null},{"id":"2112.00719","title":"HyperInverter: Improving StyleGAN Inversion via Hypernetwork","created":"2021-12-01","cited_by_count":85,"area":null},{"id":"2112.05219","title":"CLIP2StyleGAN: Unsupervised Extraction of StyleGAN Edit Directions","created":"2021-12-09","cited_by_count":78,"area":null},{"id":"2103.15158","title":"Defect-GAN: High-Fidelity Defect Synthesis for Automated Defect Inspection","created":"2021-03-28","cited_by_count":77,"area":null},{"id":"2112.01573","title":"FuseDream: Training-Free Text-to-Image Generation with Improved CLIP+GAN Space Optimization","created":"2021-12-02","cited_by_count":71,"area":null},{"id":"2102.07364","title":"Intermediate Layer Optimization for Inverse Problems using Deep Generative Models","created":"2021-02-15","cited_by_count":70,"area":null},{"id":"2104.13366","title":"Unsupervised 3D Shape Completion through GAN Inversion","created":"2021-04-27","cited_by_count":70,"area":null},{"id":"2110.08398","title":"Mind the Gap: Domain Gap Control for Single Shot Domain Adaptation for Generative Adversarial Networks","created":"2021-10-15","cited_by_count":68,"area":null},{"id":"2210.03735","title":"\"Help Me Help the AI\": Understanding How Explainability Can Support Human-AI Interaction","created":"2022-10-02","cited_by_count":63,"area":null},{"id":"2112.05143","title":"GAN-Supervised Dense Visual Alignment","created":"2021-12-09","cited_by_count":62,"area":null},{"id":"2103.10426","title":"Using latent space regression to analyze and leverage compositionality in GANs","created":"2021-03-18","cited_by_count":55,"area":null},{"id":"2103.14968","title":"Labels4Free: Unsupervised Segmentation using StyleGAN","created":"2021-03-27","cited_by_count":53,"area":null},{"id":"2104.14551","title":"Ensembling with Deep Generative Views","created":"2021-04-29","cited_by_count":53,"area":null},{"id":"2105.08127","title":"Finding an Unsupervised Image Segmenter in Each of Your Deep Generative Models","created":"2021-05-17","cited_by_count":44,"area":null},{"id":"2210.07301","title":"3D GAN Inversion with Pose Optimization","created":"2022-10-13","cited_by_count":44,"area":null},{"id":"2206.08357","title":"Spatially-Adaptive Multilayer Selection for GAN Inversion and Editing","created":"2022-06-16","cited_by_count":39,"area":null},{"id":"2104.14553","title":"MarioNette: Self-Supervised Sprite Learning","created":"2021-04-29","cited_by_count":35,"area":null},{"id":"2205.02837","title":"BlobGAN: Spatially Disentangled Scene Representations","created":"2022-05-05","cited_by_count":35,"area":null},{"id":"2104.07661","title":"E2Style: Improve the Efficiency and Effectiveness of StyleGAN Inversion","created":"2021-04-15","cited_by_count":33,"area":null},{"id":"2209.02836","title":"Studying Bias in GANs through the Lens of Race","created":"2022-09-06","cited_by_count":31,"area":null},{"id":"2110.06562","title":"Unsupervised Object Learning via Common Fate","created":"2021-10-13","cited_by_count":29,"area":null},{"id":"2108.01361","title":"Cycle-Consistent Inverse GAN for Text-to-Image Synthesis","created":"2021-08-03","cited_by_count":27,"area":null},{"id":"2306.03934","title":"Accurate Fine-Grained Segmentation of Human Anatomy in Radiographs via Volumetric Pseudo-Labeling","created":"2023-06-06","cited_by_count":26,"area":null},{"id":"2104.05895","title":"IMAGINE: Image Synthesis by Image-Guided Model Inversion","created":"2021-04-13","cited_by_count":25,"area":null},{"id":"2112.02379","title":"LTT-GAN: Looking Through Turbulence by Inverting GANs","created":"2021-12-04","cited_by_count":21,"area":null},{"id":"2203.01993","title":"Polarity Sampling: Quality and Diversity Control of Pre-Trained Generative Networks via Singular Values","created":"2022-03-03","cited_by_count":21,"area":null},{"id":"2309.00638","title":"Generative AI for End-to-End Limit Order Book Modelling: A Token-Level Autoregressive Generative Model of Message Flow Using a Deep State Space Network","created":"2023-08-23","cited_by_count":20,"area":null},{"id":"2308.16909","title":"StyleInV: A Temporal Style Modulated Inversion Network for Unconditional Video Generation","created":"2023-08-31","cited_by_count":19,"area":null},{"id":"2208.11613","title":"Unrestricted Black-box Adversarial Attack Using GAN with Limited Queries","created":"2022-08-24","cited_by_count":18,"area":null},{"id":"2105.02431","title":"Inverting Generative Adversarial Renderer for Face Reconstruction","created":"2021-05-06","cited_by_count":17,"area":null},{"id":"2107.11186","title":"LARGE: Latent-Based Regression through GAN Semantics","created":"2021-07-22","cited_by_count":17,"area":null},{"id":"2110.04292","title":"Toward a Visual Concept Vocabulary for GAN Latent Space","created":"2021-10-08","cited_by_count":15,"area":null},{"id":"2110.12271","title":"Self-Validation: Early Stopping for Single-Instance Deep Generative Priors","created":"2021-10-23","cited_by_count":15,"area":null},{"id":"2202.11833","title":"Near Perfect GAN Inversion","created":"2022-02-23","cited_by_count":15,"area":null},{"id":"2203.11242","title":"A survey on GANs for computer vision: Recent research, analysis and taxonomy","created":"2022-03-21","cited_by_count":15,"area":null},{"id":"2206.09027","title":"Landscape Learning for Neural Network Inversion","created":"2022-06-17","cited_by_count":15,"area":null},{"id":"2301.04604","title":"LinkGAN: Linking GAN Latents to Pixels for Controllable Image Synthesis","created":"2023-01-11","cited_by_count":15,"area":null},{"id":"2106.01629","title":"Semantic Palette: Guiding Scene Generation with Class Proportions","created":"2021-06-03","cited_by_count":14,"area":null},{"id":"2110.01254","title":"GenCo: Generative Co-training for Generative Adversarial Networks with Limited Data","created":"2021-10-04","cited_by_count":14,"area":null},{"id":"2204.04513","title":"On the Exploitation of Deepfake Model Recognition","created":"2022-04-09","cited_by_count":14,"area":null},{"id":"2206.09104","title":"Score-Guided Intermediate Layer Optimization: Fast Langevin Mixing for Inverse Problems","created":"2022-06-18","cited_by_count":11,"area":null},{"id":"2308.08157","title":"Learning to Generate Semantic Layouts for Higher Text-Image Correspondence in Text-to-Image Synthesis","created":"2023-08-16","cited_by_count":11,"area":null},{"id":"2209.00698","title":"Exploring Gradient-based Multi-directional Controls in GANs","created":"2022-09-01","cited_by_count":10,"area":null},{"id":"2304.14403","title":"Make It So: Steering StyleGAN for Any Image Inversion and Editing","created":"2023-04-27","cited_by_count":9,"area":null},{"id":"2101.02069","title":"Model Extraction and Defenses on Generative Adversarial Networks","created":"2021-01-06","cited_by_count":8,"area":null},{"id":"2103.15596","title":"A Shape-Aware Retargeting Approach to Transfer Human Motion and Appearance in Monocular Videos","created":"2021-03-29","cited_by_count":8,"area":null},{"id":"2106.03847","title":"GAN Cocktail: mixing GANs without dataset access","created":"2021-06-07","cited_by_count":8,"area":null},{"id":"2207.10061","title":"Monocular 3D Object Reconstruction with GAN Inversion","created":"2022-07-20","cited_by_count":8,"area":null},{"id":"2209.10811","title":"IntereStyle: Encoding an Interest Region for Robust StyleGAN Inversion","created":"2022-09-22","cited_by_count":8,"area":null},{"id":"2206.06632","title":"Explainable AI for High Energy Physics","created":"2022-06-14","cited_by_count":7,"area":null},{"id":"2211.13901","title":"Learning Detailed Radiance Manifolds for High-Fidelity and 3D-Consistent Portrait Synthesis from Monocular Image","created":"2022-11-25","cited_by_count":7,"area":null},{"id":"2111.14212","title":"On Predicting Generalization using GANs","created":"2021-11-28","cited_by_count":6,"area":null},{"id":"2207.02426","title":"DCT-Net: Domain-Calibrated Translation for Portrait Stylization","created":"2022-07-06","cited_by_count":6,"area":null},{"id":"2412.02261","title":"Diffusion Implicit Policy for Unpaired Scene-aware Motion Synthesis","created":"2024-12-03","cited_by_count":6,"area":null},{"id":"2212.01381","title":"LatentSwap3D: Semantic Edits on 3D Image GANs","created":"2022-12-02","cited_by_count":5,"area":null},{"id":"2303.14297","title":"AgileGAN3D: Few-Shot 3D Portrait Stylization by Augmented Transfer Learning","created":"2023-03-24","cited_by_count":5,"area":null},{"id":"2305.11321","title":"JoIN: Joint GANs Inversion for Intrinsic Image Decomposition","created":"2023-05-18","cited_by_count":4,"area":null},{"id":"2311.12050","title":"3D-GOI: 3D GAN Omni-Inversion for Multifaceted and Multi-object Editing","created":"2023-11-18","cited_by_count":4,"area":null},{"id":"2312.14369","title":"Quality-Diversity Generative Sampling for Learning with Synthetic Data","created":"2023-12-22","cited_by_count":4,"area":null},{"id":"2404.01697","title":"Preventing Model Collapse in Gaussian Process Latent Variable Models","created":"2024-04-02","cited_by_count":4,"area":null},{"id":"2410.00381","title":"Downscaling Extreme Precipitation with Wasserstein Regularized Diffusion","created":"2024-10-01","cited_by_count":4,"area":null},{"id":"2101.04645","title":"Double-Adversarial Activation Anomaly Detection: Adversarial Autoencoders are Anomaly Generators","created":"2021-01-12","cited_by_count":3,"area":null},{"id":"2104.05518","title":"Diamond in the rough: Improving image realism by traversing the GAN latent space","created":"2021-04-12","cited_by_count":3,"area":null},{"id":"2107.12202","title":"Black-Box Diagnosis and Calibration on GAN Intra-Mode Collapse: A Pilot Study","created":"2021-07-23","cited_by_count":3,"area":null},{"id":"2112.14406","title":"Overcoming Mode Collapse with Adaptive Multi Adversarial Training","created":"2021-12-29","cited_by_count":3,"area":null},{"id":"2211.10812","title":"Face Swapping as A Simple Arithmetic Operation","created":"2022-11-19","cited_by_count":3,"area":null},{"id":"2303.10774","title":"Cross-GAN Auditing: Unsupervised Identification of Attribute Level Similarities and Differences between Pretrained Generative Models","created":"2023-03-19","cited_by_count":2,"area":null},{"id":"2305.10884","title":"Meta-Auxiliary Network for 3D GAN Inversion","created":"2023-05-18","cited_by_count":2,"area":null},{"id":"2312.05330","title":"Multi-view Inversion for 3D-aware Generative Adversarial Networks","created":"2023-12-08","cited_by_count":2,"area":null},{"id":"2405.14521","title":"Synthetic Data Generation for Intersectional Fairness by Leveraging Hierarchical Group Structure","created":"2024-05-23","cited_by_count":2,"area":null},{"id":"2101.00990","title":"Guiding GANs: How to control non-conditional pre-trained GANs for conditional image generation","created":"2021-01-04","cited_by_count":1,"area":null},{"id":"2105.10438","title":"Compositional Fine-Grained Low-Shot Learning","created":"2021-05-21","cited_by_count":1,"area":null},{"id":"2206.07018","title":"Turning a Curse into a Blessing: Enabling In-Distribution-Data-Free Backdoor Removal via Stabilized Model Inversion","created":"2022-06-14","cited_by_count":1,"area":null},{"id":"2207.10309","title":"A Survey on Leveraging Pre-trained Generative Adversarial Networks for Image Editing and Restoration","created":"2022-07-21","cited_by_count":1,"area":null},{"id":"2210.09394","title":"Review learning: Real world validation of privacy preserving continual learning across medical institutions","created":"2022-10-17","cited_by_count":1,"area":null},{"id":"2409.12883","title":"Improving Prototypical Parts Abstraction for Case-Based Reasoning Explanations Designed for the Kidney Stone Type Recognition","created":"2024-09-19","cited_by_count":1,"area":null},{"id":"2501.13189","title":"Map Prediction and Generative Entropy for Multi-Agent Exploration","created":"2025-01-22","cited_by_count":1,"area":null},{"id":"2504.05456","title":"Generative Adversarial Networks with Limited Data: A Survey and Benchmarking","created":"2025-04-07","cited_by_count":1,"area":null},{"id":"2505.09166","title":"An Exploration of Default Images in Text-to-Image Generation","created":"2025-05-14","cited_by_count":1,"area":null},{"id":"2103.03010","title":"Perceptual Image Restoration with High-Quality Priori and Degradation Learning","created":"2021-03-04","cited_by_count":0,"area":null},{"id":"2206.08524","title":"CDNet: Contrastive Disentangled Network for Fine-Grained Image Categorization of Ocular B-Scan Ultrasound","created":"2022-06-17","cited_by_count":0,"area":null},{"id":"2206.13078","title":"Video2StyleGAN: Encoding Video in Latent Space for Manipulation","created":"2022-06-27","cited_by_count":0,"area":null},{"id":"2212.00981","title":"QC-StyleGAN -- Quality Controllable Image Generation and Manipulation","created":"2022-12-02","cited_by_count":0,"area":null},{"id":"2303.01555","title":"Counterfactual Edits for Generative Evaluation","created":"2023-03-02","cited_by_count":0,"area":null},{"id":"2304.13963","title":"Human-machine knowledge hybrid augmentation method for surface defect detection based few-data learning","created":"2023-04-27","cited_by_count":0,"area":null},{"id":"2305.09454","title":"Rethinking the editing of generative adversarial networks: a method to estimate editing vectors based on dimension reduction","created":"2023-03-07","cited_by_count":0,"area":null},{"id":"2307.16670","title":"Conditioning Generative Latent Optimization for Sparse-View CT Image Reconstruction","created":"2023-07-31","cited_by_count":0,"area":null},{"id":"2309.02964","title":"Hierarchical-level rain image generative model based on GAN","created":"2023-09-06","cited_by_count":0,"area":null},{"id":"2310.06667","title":"SC2GAN: Rethinking Entanglement by Self-correcting Correlated GAN Space","created":"2023-10-10","cited_by_count":0,"area":null},{"id":"2311.00995","title":"A Chronological Survey of Theoretical Advancements in Generative Adversarial Networks for Computer Vision","created":"2023-11-02","cited_by_count":0,"area":null}],"next_cursor":"100"}