{"total":47,"rows":[{"id":"2303.05511","title":"Scaling up GANs for Text-to-Image Synthesis","created":"2023-03-09","cited_by_count":492,"area":null},{"id":"2206.11404","title":"The ArtBench Dataset: Benchmarking Generative Models with Artworks","created":"2022-06-22","cited_by_count":64,"area":null},{"id":"2302.13001","title":"Better Generative Replay for Continual Federated Learning","created":"2023-02-25","cited_by_count":55,"area":null},{"id":"2206.09479","title":"StudioGAN: A Taxonomy and Benchmark of GANs for Image Synthesis","created":"2022-06-19","cited_by_count":38,"area":null},{"id":"2303.08046","title":"Ultra-High-Resolution Detector Simulation with Intra-Event Aware GAN and Self-Supervised Relational Reasoning","created":"2023-03-07","cited_by_count":25,"area":null},{"id":"2310.12952","title":"Cousins Of The Vendi Score: A Family Of Similarity-Based Diversity Metrics For Science And Machine Learning","created":"2023-10-19","cited_by_count":24,"area":null},{"id":"2303.03023","title":"Guiding Energy-based Models via Contrastive Latent Variables","created":"2023-03-06","cited_by_count":18,"area":null},{"id":"2401.15652","title":"Continuous-Multiple Image Outpainting in One-Step via Positional Query and A Diffusion-based Approach","created":"2024-01-28","cited_by_count":18,"area":null},{"id":"2402.17287","title":"An Interpretable Evaluation of Entropy-based Novelty of Generative Models","created":"2024-02-27","cited_by_count":17,"area":null},{"id":"2304.05866","title":"NoisyTwins: Class-Consistent and Diverse Image Generation through StyleGANs","created":"2023-04-12","cited_by_count":12,"area":null},{"id":"2405.08674","title":"Expensive Multi-Objective Bayesian Optimization Based on Diffusion Models","created":"2024-05-14","cited_by_count":10,"area":null},{"id":"2405.18554","title":"Scalable Surrogate Verification of Image-based Neural Network Control Systems using Composition and Unrolling","created":"2024-05-28","cited_by_count":8,"area":null},{"id":"2203.02770","title":"Don't Be So Dense: Sparse-to-Sparse GAN Training Without Sacrificing Performance","created":"2022-03-05","cited_by_count":7,"area":null},{"id":"2408.14131","title":"GenFormer -- Generated Images are All You Need to Improve Robustness of Transformers on Small Datasets","created":"2024-08-26","cited_by_count":6,"area":null},{"id":"2502.10828","title":"The Vendiscope: An Algorithmic Microscope For Data Collections","created":"2025-02-15","cited_by_count":5,"area":null},{"id":"2204.12833","title":"Transfer Learning with Pre-trained Conditional Generative Models","created":"2022-04-27","cited_by_count":4,"area":null},{"id":"2207.00421","title":"Generative Adversarial Networks and Image-Based Malware Classification","created":"2022-06-08","cited_by_count":4,"area":null},{"id":"2503.00639","title":"Synergy Between Sufficient Changes and Sparse Mixing Procedure for Disentangled Representation Learning","created":"2025-03-01","cited_by_count":4,"area":null},{"id":"2205.10146","title":"Revisiting GANs by Best-Response Constraint: Perspective, Methodology, and Application","created":"2022-05-20","cited_by_count":3,"area":null},{"id":"2208.00439","title":"Design What You Desire: Icon Generation from Orthogonal Application and Theme Labels","created":"2022-07-31","cited_by_count":3,"area":null},{"id":"2306.11406","title":"Stable and Consistent Prediction of 3D Characteristic Orientation via Invariant Residual Learning","created":"2023-06-20","cited_by_count":3,"area":null},{"id":"2308.10273","title":"Turning Waste into Wealth: Leveraging Low-Quality Samples for Enhancing Continuous Conditional Generative Adversarial Networks","created":"2023-08-20","cited_by_count":3,"area":null},{"id":"2408.15640","title":"GANs Conditioning Methods: A Survey","created":"2024-08-28","cited_by_count":3,"area":null},{"id":"2112.01316","title":"Putting 3D Spatially Sparse Networks on a Diet","created":"2021-12-02","cited_by_count":2,"area":null},{"id":"2304.09875","title":"GREAT Score: Global Robustness Evaluation of Adversarial Perturbation using Generative Models","created":"2023-04-19","cited_by_count":2,"area":null},{"id":"2305.07613","title":"Spider GAN: Leveraging Friendly Neighbors to Accelerate GAN Training","created":"2023-05-12","cited_by_count":2,"area":null},{"id":"2305.17868","title":"NaturalFinger: Generating Natural Fingerprint with Generative Adversarial Networks","created":"2023-05-29","cited_by_count":2,"area":null},{"id":"2312.10634","title":"Anomaly Score: Evaluating Generative Models and Individual Generated Images based on Complexity and Vulnerability","created":"2023-12-17","cited_by_count":2,"area":null},{"id":"2404.00521","title":"CHAIN: Enhancing Generalization in Data-Efficient GANs via lipsCHitz continuity constrAIned Normalization","created":"2024-03-31","cited_by_count":2,"area":null},{"id":"2304.03932","title":"3D GANs and Latent Space: A comprehensive survey","created":"2023-04-08","cited_by_count":1,"area":null},{"id":"2305.14849","title":"DuDGAN: Improving Class-Conditional GANs via Dual-Diffusion","created":"2023-05-24","cited_by_count":1,"area":null},{"id":"2405.17191","title":"MCGAN: Enhancing GAN Training with Regression-Based Generator Loss","created":"2024-05-27","cited_by_count":1,"area":null},{"id":"2503.24258","title":"Beyond a Single Mode: GAN Ensembles for Diverse Medical Data Generation","created":"2025-03-31","cited_by_count":1,"area":null},{"id":"2507.01761","title":"Enhanced Generative Model Evaluation with Clipped Density and Coverage","created":"2025-07-02","cited_by_count":1,"area":null},{"id":"2207.06626","title":"Continuous Facial Motion Deblurring","created":"2022-07-14","cited_by_count":0,"area":null},{"id":"2209.14106","title":"Cyclegan Network for Sheet Metal Welding Drawing Translation","created":"2022-09-28","cited_by_count":0,"area":null},{"id":"2308.07017","title":"Contrastive Bi-Projector for Unsupervised Domain Adaption","created":"2023-08-14","cited_by_count":0,"area":null},{"id":"2312.12946","title":"Class Conditional Time Series Generation with Structured Noise Space GAN","created":"2023-12-20","cited_by_count":0,"area":null},{"id":"2402.14098","title":"Intriguing Properties of Modern GANs","created":"2024-02-21","cited_by_count":0,"area":null},{"id":"2501.16348","title":"An Integrated Approach to AI-Generated Content in e-health","created":"2025-01-18","cited_by_count":0,"area":null},{"id":"2505.11698","title":"Conditional Deep Generative Models for Belief State Planning","created":"2025-05-16","cited_by_count":0,"area":null},{"id":"2507.17008","title":"Bringing Balance to Hand Shape Classification: Mitigating Data Imbalance Through Generative Models","created":"2025-07-22","cited_by_count":0,"area":null},{"id":"2510.04576","title":"SONA: Learning Conditional, Unconditional, and Mismatching-Aware Discriminator","created":"2025-10-06","cited_by_count":0,"area":null},{"id":"2602.03039","title":"HP-GAN: Harnessing pretrained networks for GAN improvement with FakeTwins and discriminator consistency","created":"2026-02-03","cited_by_count":0,"area":null},{"id":"2602.16449","title":"GICDM: Mitigating Hubness for Reliable Distance-Based Generative Model Evaluation","created":"2026-02-18","cited_by_count":0,"area":null},{"id":"2605.15309","title":"One Pass Is Not Enough: Recursive Latent Refinement for Generative Models","created":"2026-05-14","cited_by_count":0,"area":null},{"id":"2607.18072","title":"SGN: A Similarity-based Generative Network for Data Generation under Distribution Shift","created":"2026-07-20","cited_by_count":0,"area":null}],"next_cursor":null}