{"total":50,"rows":[{"id":"2306.09341","title":"Human Preference Score v2: A Solid Benchmark for Evaluating Human Preferences of Text-to-Image Synthesis","created":"2023-06-15","cited_by_count":890,"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":"2311.04287","title":"Holistic Evaluation of Text-To-Image Models","created":"2023-11-07","cited_by_count":160,"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":"2104.06954","title":"Aligning Latent and Image Spaces to Connect the Unconnectable","created":"2021-04-14","cited_by_count":70,"area":null},{"id":"2304.01816","title":"Toward Verifiable and Reproducible Human Evaluation for Text-to-Image Generation","created":"2023-04-04","cited_by_count":68,"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":"2104.11222","title":"On Aliased Resizing and Surprising Subtleties in GAN Evaluation","created":"2021-04-22","cited_by_count":51,"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":"2406.19370","title":"Emergence of Hidden Capabilities: Exploring Learning Dynamics in Concept Space","created":"2024-06-27","cited_by_count":35,"area":null},{"id":"2403.10075","title":"A survey of synthetic data augmentation methods in computer vision","created":"2024-03-15","cited_by_count":34,"area":null},{"id":"2210.03709","title":"Understanding Practices, Challenges, and Opportunities for User-Engaged Algorithm Auditing in Industry Practice","created":"2022-10-07","cited_by_count":32,"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":"2101.05507","title":"Evaluating the Robustness of Collaborative Agents","created":"2021-01-14","cited_by_count":25,"area":null},{"id":"2101.06561","title":"GENIE: Toward Reproducible and Standardized Human Evaluation for Text Generation","created":"2021-01-17","cited_by_count":20,"area":null},{"id":"2211.05770","title":"Efficient Image Generation with Variadic Attention Heads","created":"2022-11-10","cited_by_count":17,"area":null},{"id":"2103.11521","title":"Conditional Frechet Inception Distance","created":"2021-03-21","cited_by_count":16,"area":null},{"id":"2110.02871","title":"ClimateGAN: Raising Climate Change Awareness by Generating Images of Floods","created":"2021-10-06","cited_by_count":14,"area":null},{"id":"2404.12500","title":"UIClip: A Data-driven Model for Assessing User Interface Design","created":"2024-04-18","cited_by_count":14,"area":null},{"id":"2310.01830","title":"AI-Generated Images as Data Source: The Dawn of Synthetic Era","created":"2023-10-03","cited_by_count":13,"area":null},{"id":"2208.04139","title":"DALLE-URBAN: Capturing the urban design expertise of large text to image transformers","created":"2022-08-03","cited_by_count":12,"area":null},{"id":"2411.13842","title":"Detecting Human Artifacts from Text-to-Image Models","created":"2024-11-21","cited_by_count":12,"area":null},{"id":"2206.11461","title":"Towards Better User Studies in Computer Graphics and Vision","created":"2022-06-23","cited_by_count":11,"area":null},{"id":"2212.13791","title":"StyleID: Identity Disentanglement for Anonymizing Faces","created":"2022-12-28","cited_by_count":10,"area":null},{"id":"2103.09276","title":"Co-Generation and Segmentation for Generalized Surgical Instrument Segmentation on Unlabelled Data","created":"2021-03-16","cited_by_count":8,"area":null},{"id":"2405.04097","title":"Unmasking Illusions: Understanding Human Perception of Audiovisual Deepfakes","created":"2024-05-07","cited_by_count":7,"area":null},{"id":"2211.07885","title":"Using Human Perception to Regularize Transfer Learning","created":"2022-11-15","cited_by_count":6,"area":null},{"id":"2107.07988","title":"Controlled AutoEncoders to Generate Faces from Voices","created":"2021-07-16","cited_by_count":3,"area":null},{"id":"2111.09991","title":"Sketch-based Creativity Support Tools using Deep Learning","created":"2021-11-19","cited_by_count":3,"area":null},{"id":"2204.04707","title":"Generative Adversarial Networks for Image Augmentation in Agriculture: A Systematic Review","created":"2022-04-10","cited_by_count":3,"area":null},{"id":"2410.08534","title":"Quality Prediction of AI Generated Images and Videos: Emerging Trends and Opportunities","created":"2024-10-11","cited_by_count":3,"area":null},{"id":"2112.08048","title":"Dynamic Human Evaluation for Relative Model Comparisons","created":"2021-12-15","cited_by_count":2,"area":null},{"id":"2409.01138","title":"Generating Synthetic Satellite Imagery for Rare Objects: An Empirical Comparison of Models and Metrics","created":"2024-09-02","cited_by_count":2,"area":null},{"id":"2410.02004","title":"Normalizing Flow-Based Metric for Image Generation","created":"2024-10-02","cited_by_count":2,"area":null},{"id":"2412.04086","title":"BodyMetric: Evaluating the Realism of Human Bodies in Text-to-Image Generation","created":"2024-12-05","cited_by_count":2,"area":null},{"id":"2202.11777","title":"Art Creation with Multi-Conditional StyleGANs","created":"2022-02-23","cited_by_count":1,"area":null},{"id":"2211.09727","title":"A Survey on Evaluation Metrics for Synthetic Material Micro-Structure Images from Generative Models","created":"2022-11-03","cited_by_count":1,"area":null},{"id":"2305.20048","title":"F?D: On understanding the role of deep feature spaces on face generation evaluation","created":"2023-05-31","cited_by_count":1,"area":null},{"id":"2404.12653","title":"How Real Is Real? A Human Evaluation Framework for Unrestricted Adversarial Examples","created":"2024-04-19","cited_by_count":1,"area":null},{"id":"2406.02153","title":"Analyzing the Feature Extractor Networks for Face Image Synthesis","created":"2024-06-04","cited_by_count":1,"area":null},{"id":"2411.15584","title":"FLD+: Data-efficient Evaluation Metric for Generative Models","created":"2024-11-23","cited_by_count":1,"area":null},{"id":"2501.00744","title":"Assessing the Distributional Fidelity of Synthetic Chest X-rays using the Embedded Characteristic Score","created":"2025-01-01","cited_by_count":1,"area":null},{"id":"2507.07776","title":"SCOOTER: A Human Evaluation Framework for Unrestricted Adversarial Examples","created":"2025-07-10","cited_by_count":1,"area":null},{"id":"2107.03742","title":"Grid Partitioned Attention: Efficient TransformerApproximation with Inductive Bias for High Resolution Detail Generation","created":"2021-07-08","cited_by_count":0,"area":null},{"id":"2111.06913","title":"Visual Intelligence through Human Interaction","created":"2021-11-12","cited_by_count":0,"area":null},{"id":"2210.16405","title":"Evaluation of Categorical Generative Models -- Bridging the Gap Between Real and Synthetic Data","created":"2022-10-28","cited_by_count":0,"area":null},{"id":"2412.14340","title":"A Unifying Information-theoretic Perspective on Evaluating Generative Models","created":"2024-12-18","cited_by_count":0,"area":null},{"id":"2508.04102","title":"AR as an Evaluation Playground: Bridging Metrics and Visual Perception of Computer Vision Models","created":"2025-08-06","cited_by_count":0,"area":null}],"next_cursor":null}