{"total":293,"rows":[{"id":"2202.00273","title":"StyleGAN-XL: Scaling StyleGAN to Large Diverse Datasets","created":"2022-02-01","cited_by_count":492,"area":null},{"id":"2210.02410","title":"The Vendi Score: A Diversity Evaluation Metric for Machine Learning","created":"2022-10-05","cited_by_count":311,"area":null},{"id":"2203.06026","title":"The Role of ImageNet Classes in Fr\\'echet Inception Distance","created":"2022-03-11","cited_by_count":213,"area":null},{"id":"2104.06820","title":"Few-shot Image Generation via Cross-domain Correspondence","created":"2021-04-13","cited_by_count":207,"area":null},{"id":"2102.08921","title":"How Faithful is your Synthetic Data? Sample-level Metrics for Evaluating and Auditing Generative Models","created":"2021-02-17","cited_by_count":196,"area":null},{"id":"2305.17359","title":"DNA-GPT: Divergent N-Gram Analysis for Training-Free Detection of GPT-Generated Text","created":"2023-05-27","cited_by_count":129,"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":"2109.05070","title":"Instance-Conditioned GAN","created":"2021-09-10","cited_by_count":121,"area":null},{"id":"2101.08629","title":"Image-to-Image Translation: Methods and Applications","created":"2021-01-21","cited_by_count":116,"area":null},{"id":"2405.01147","title":"Why Tabular Foundation Models Should Be a Research Priority","created":"2024-05-02","cited_by_count":106,"area":null},{"id":"2403.17804","title":"Improving Text-to-Image Consistency via Automatic Prompt Optimization","created":"2024-03-26","cited_by_count":90,"area":null},{"id":"2306.09296","title":"KoLA: Carefully Benchmarking World Knowledge of Large Language Models","created":"2023-06-15","cited_by_count":85,"area":null},{"id":"2210.10542","title":"PoseGPT: Quantization-based 3D Human Motion Generation and Forecasting","created":"2022-10-19","cited_by_count":78,"area":null},{"id":"2201.10787","title":"Variational Model Inversion Attacks","created":"2022-01-26","cited_by_count":75,"area":null},{"id":"2205.03257","title":"Synthetic Data -- what, why and how?","created":"2022-05-06","cited_by_count":67,"area":null},{"id":"2104.00854","title":"The Spatially-Correlative Loss for Various Image Translation Tasks","created":"2021-04-02","cited_by_count":66,"area":null},{"id":"2309.09968","title":"Generating and Imputing Tabular Data via Diffusion and Flow-based Gradient-Boosted Trees","created":"2023-09-18","cited_by_count":62,"area":null},{"id":"2201.12179","title":"Plug & Play Attacks: Towards Robust and Flexible Model Inversion Attacks","created":"2022-01-28","cited_by_count":60,"area":null},{"id":"2111.01118","title":"Rebooting ACGAN: Auxiliary Classifier GANs with Stable Training","created":"2021-11-01","cited_by_count":57,"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":"2305.09696","title":"Generative Table Pre-training Empowers Models for Tabular Prediction","created":"2023-05-16","cited_by_count":55,"area":null},{"id":"2306.06130","title":"Towards Understanding the Interplay of Generative Artificial Intelligence and the Internet","created":"2023-06-08","cited_by_count":54,"area":null},{"id":"2101.09983","title":"Adversarial Text-to-Image Synthesis: A Review","created":"2021-01-25","cited_by_count":52,"area":null},{"id":"2404.12391","title":"On the Content Bias in Fr\\'echet Video Distance","created":"2024-04-18","cited_by_count":52,"area":null},{"id":"2201.09871","title":"On Evaluation Metrics for Graph Generative Models","created":"2022-01-24","cited_by_count":46,"area":null},{"id":"2203.14206","title":"Denoising Likelihood Score Matching for Conditional Score-based Data Generation","created":"2022-03-27","cited_by_count":46,"area":null},{"id":"2406.04321","title":"VidMuse: A Simple Video-to-Music Generation Framework with Long-Short-Term Modeling","created":"2024-06-06","cited_by_count":40,"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":"2202.12211","title":"Self-Distilled StyleGAN: Towards Generation from Internet Photos","created":"2022-02-24","cited_by_count":37,"area":null},{"id":"2205.13445","title":"Mutual Information Divergence: A Unified Metric for Multimodal Generative Models","created":"2022-05-25","cited_by_count":35,"area":null},{"id":"2206.08549","title":"Rarity Score : A New Metric to Evaluate the Uncommonness of Synthesized Images","created":"2022-06-17","cited_by_count":35,"area":null},{"id":"2210.14661","title":"Full-band General Audio Synthesis with Score-based Diffusion","created":"2022-10-26","cited_by_count":32,"area":null},{"id":"2106.05275","title":"Tractable Density Estimation on Learned Manifolds with Conformal Embedding Flows","created":"2021-06-09","cited_by_count":31,"area":null},{"id":"2211.10295","title":"Evaluating generative models in high energy physics","created":"2022-11-18","cited_by_count":31,"area":null},{"id":"2403.00025","title":"On the Challenges and Opportunities in Generative AI","created":"2024-02-28","cited_by_count":31,"area":null},{"id":"2402.04013","title":"Privacy Leakage on DNNs: A Survey of Model Inversion Attacks and Defenses","created":"2024-02-06","cited_by_count":30,"area":null},{"id":"2304.03722","title":"Beyond Privacy: Navigating the Opportunities and Challenges of Synthetic Data","created":"2023-04-07","cited_by_count":29,"area":null},{"id":"2402.10693","title":"Exploring Precision and Recall to assess the quality and diversity of LLMs","created":"2024-02-16","cited_by_count":29,"area":null},{"id":"2204.07172","title":"Diagnosing and Fixing Manifold Overfitting in Deep Generative Models","created":"2022-04-14","cited_by_count":28,"area":null},{"id":"2407.02961","title":"Towards a Scalable Reference-Free Evaluation of Generative Models","created":"2024-07-03","cited_by_count":26,"area":null},{"id":"2407.01516","title":"E.T. the Exceptional Trajectories: Text-to-camera-trajectory generation with character awareness","created":"2024-07-01","cited_by_count":25,"area":null},{"id":"2412.06771","title":"Proactive Agents for Multi-Turn Text-to-Image Generation Under Uncertainty","created":"2024-12-09","cited_by_count":25,"area":null},{"id":"2307.10603","title":"Physics-Driven Turbulence Image Restoration with Stochastic Refinement","created":"2023-07-20","cited_by_count":24,"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":"2406.04551","title":"Improving Geo-diversity of Generated Images with Contextualized Vendi Score Guidance","created":"2024-06-06","cited_by_count":24,"area":null},{"id":"2412.06781","title":"Around the World in 80 Timesteps: A Generative Approach to Global Visual Geolocation","created":"2024-12-09","cited_by_count":23,"area":null},{"id":"2107.10060","title":"Conditional GANs with Auxiliary Discriminative Classifier","created":"2021-07-21","cited_by_count":20,"area":null},{"id":"2306.13840","title":"Beyond Scale: The Diversity Coefficient as a Data Quality Metric for Variability in Natural Language Data","created":"2023-06-24","cited_by_count":19,"area":null},{"id":"2106.07898","title":"Divergence Frontiers for Generative Models: Sample Complexity, Quantization Effects, and Frontier Integrals","created":"2021-06-15","cited_by_count":18,"area":null},{"id":"2112.03517","title":"CG-NeRF: Conditional Generative Neural Radiance Fields","created":"2021-12-07","cited_by_count":18,"area":null},{"id":"2407.13863","title":"A Closer Look at GAN Priors: Exploiting Intermediate Features for Enhanced Model Inversion Attacks","created":"2024-07-18","cited_by_count":18,"area":null},{"id":"2208.01403","title":"A Deep Generative Model for Feasible and Diverse Population Synthesis","created":"2022-08-01","cited_by_count":17,"area":null},{"id":"2211.05770","title":"Efficient Image Generation with Variadic Attention Heads","created":"2022-11-10","cited_by_count":17,"area":null},{"id":"2302.12749","title":"SurvivalGAN: Generating Time-to-Event Data for Survival Analysis","created":"2023-02-24","cited_by_count":17,"area":null},{"id":"2311.16054","title":"Metric Space Magnitude for Evaluating the Diversity of Latent Representations","created":"2023-11-27","cited_by_count":17,"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":"2106.03135","title":"Go with the Flows: Mixtures of Normalizing Flows for Point Cloud Generation and Reconstruction","created":"2021-06-06","cited_by_count":16,"area":null},{"id":"2210.05461","title":"FreGAN: Exploiting Frequency Components for Training GANs under Limited Data","created":"2022-10-11","cited_by_count":16,"area":null},{"id":"2405.02700","title":"Unveiling Differences in Generative Models: A Scalable Differential Clustering Approach","created":"2024-05-04","cited_by_count":16,"area":null},{"id":"2405.04457","title":"Towards Geographic Inclusion in the Evaluation of Text-to-Image Models","created":"2024-05-07","cited_by_count":16,"area":null},{"id":"2403.13826","title":"Measuring Diversity in Co-creative Image Generation","created":"2024-03-06","cited_by_count":15,"area":null},{"id":"2412.18645","title":"Scendi Score: Prompt-Aware Diversity Evaluation via Schur Complement of CLIP Embeddings","created":"2024-12-24","cited_by_count":15,"area":null},{"id":"2503.05954","title":"A Survey on Deep Learning Approaches for Tabular Data Generation: Utility, Alignment, Fidelity, Privacy, Diversity, and Beyond","created":"2025-03-07","cited_by_count":15,"area":null},{"id":"2208.09932","title":"Improving GANs for Long-Tailed Data through Group Spectral Regularization","created":"2022-08-21","cited_by_count":14,"area":null},{"id":"2306.08013","title":"TopP&R: Robust Support Estimation Approach for Evaluating Fidelity and Diversity in Generative Models","created":"2023-06-13","cited_by_count":14,"area":null},{"id":"2412.17622","title":"Be More Diverse than the Most Diverse: Optimal Mixtures of Generative Models via Mixture-UCB Bandit Algorithms","created":"2024-12-23","cited_by_count":14,"area":null},{"id":"2507.15897","title":"ReDi: Rectified Discrete Flow","created":"2025-07-21","cited_by_count":14,"area":null},{"id":"2111.15264","title":"EdiBERT, a generative model for image editing","created":"2021-11-30","cited_by_count":13,"area":null},{"id":"2301.13098","title":"CHeart: A Conditional Spatio-Temporal Generative Model for Cardiac Anatomy","created":"2023-01-30","cited_by_count":13,"area":null},{"id":"2406.07451","title":"A Multi-Armed Bandit Approach to Online Selection and Evaluation of Generative Models","created":"2024-06-11","cited_by_count":13,"area":null},{"id":"2411.16278","title":"Even Sparser Graph Transformers","created":"2024-11-25","cited_by_count":13,"area":null},{"id":"2410.21719","title":"Do Vendi Scores Converge with Finite Samples? Truncated Vendi Score for Finite-Sample Convergence Guarantees","created":"2024-10-29","cited_by_count":12,"area":null},{"id":"2505.07175","title":"Metrics that matter: Evaluating image quality metrics for medical image generation","created":"2025-05-12","cited_by_count":12,"area":null},{"id":"2505.22450","title":"Position: All Current Generative Fidelity and Diversity Metrics are Flawed","created":"2025-05-28","cited_by_count":12,"area":null},{"id":"2211.16259","title":"Measuring the Measuring Tools: An Automatic Evaluation of Semantic Metrics for Text Corpora","created":"2022-11-29","cited_by_count":11,"area":null},{"id":"2309.01590","title":"Probabilistic Precision and Recall Towards Reliable Evaluation of Generative Models","created":"2023-09-04","cited_by_count":11,"area":null},{"id":"2404.01889","title":"RAVE: Residual Vector Embedding for CLIP-Guided Backlit Image Enhancement","created":"2024-04-02","cited_by_count":11,"area":null},{"id":"2504.13987","title":"Entropy Rectifying Guidance for Diffusion and Flow Models","created":"2025-04-18","cited_by_count":11,"area":null},{"id":"2310.11714","title":"Consistent Distributed Ranking of Generative Models via Kernel Distances","created":"2023-10-18","cited_by_count":10,"area":null},{"id":"2310.19464","title":"Generative Neural Fields by Mixtures of Neural Implicit Functions","created":"2023-10-30","cited_by_count":10,"area":null},{"id":"2502.09611","title":"Designing a Conditional Prior Distribution for Flow-Based Generative Models","created":"2025-02-13","cited_by_count":10,"area":null},{"id":"2502.21318","title":"How far can we go with ImageNet for Text-to-Image generation?","created":"2025-02-28","cited_by_count":10,"area":null},{"id":"2108.03702","title":"BIGRoC: Boosting Image Generation via a Robust Classifier","created":"2021-08-08","cited_by_count":9,"area":null},{"id":"2203.10674","title":"RareGAN: Generating Samples for Rare Classes","created":"2022-03-20","cited_by_count":9,"area":null},{"id":"2305.18910","title":"Precision-Recall Divergence Optimization for Generative Modeling with GANs and Normalizing Flows","created":"2023-05-30","cited_by_count":9,"area":null},{"id":"2308.06198","title":"DIG In: Evaluating Disparities in Image Generations with Indicators for Geographic Diversity","created":"2023-08-11","cited_by_count":9,"area":null},{"id":"2407.18207","title":"Geometry Fidelity for Spherical Images","created":"2024-07-25","cited_by_count":9,"area":null},{"id":"2410.01322","title":"Forte : Finding Outliers with Representation Typicality Estimation","created":"2024-10-02","cited_by_count":9,"area":null},{"id":"2410.21717","title":"Generating Realistic Tabular Data with Large Language Models","created":"2024-10-29","cited_by_count":9,"area":null},{"id":"2201.08770","title":"Generalization Metrics for Practical Quantum Advantage in Generative Models","created":"2022-01-21","cited_by_count":8,"area":null},{"id":"2203.04453","title":"Machine Learning in NextG Networks via Generative Adversarial Networks","created":"2022-03-09","cited_by_count":8,"area":null},{"id":"2308.07462","title":"Playing with words: Comparing the vocabulary and lexical diversity of ChatGPT and humans","created":"2023-08-14","cited_by_count":8,"area":null},{"id":"2402.06318","title":"TimEHR: Image-based Time Series Generation for Electronic Health Records","created":"2024-02-09","cited_by_count":8,"area":null},{"id":"2406.17673","title":"LaTable: Towards Large Tabular Models","created":"2024-06-25","cited_by_count":8,"area":null},{"id":"2407.15171","title":"Assessing Sample Quality via the Latent Space of Generative Models","created":"2024-07-21","cited_by_count":8,"area":null},{"id":"2502.21151","title":"A Review on Generative AI For Text-To-Image and Image-To-Image Generation and Implications To Scientific Images","created":"2025-02-28","cited_by_count":8,"area":null},{"id":"2510.05097","title":"Pulp Motion: Framing-aware multimodal camera and human motion generation","created":"2025-10-06","cited_by_count":8,"area":null},{"id":"2604.24698","title":"The Chameleon's Limit: Investigating Persona Collapse and Homogenization in Large Language Models","created":"2026-04-27","cited_by_count":8,"area":null},{"id":"2111.00780","title":"Pseudo-Spherical Contrastive Divergence","created":"2021-11-01","cited_by_count":7,"area":null},{"id":"2304.10036","title":"Visual DNA: Representing and Comparing Images using Distributions of Neuron Activations","created":"2023-04-20","cited_by_count":7,"area":null}],"next_cursor":"100"}