{"total":33,"rows":[{"id":"2503.22679","title":"Q-Insight: Understanding Image Quality via Visual Reinforcement Learning","created":"2025-03-28","cited_by_count":98,"area":null},{"id":"2311.14282","title":"Image Super-Resolution with Text Prompt Diffusion","created":"2023-11-24","cited_by_count":23,"area":null},{"id":"2310.18274","title":"LipSim: A Provably Robust Perceptual Similarity Metric","created":"2023-10-27","cited_by_count":15,"area":null},{"id":"2407.10181","title":"Multiscale Sliced Wasserstein Distances as Perceptual Color Difference Measures","created":"2024-07-14","cited_by_count":14,"area":null},{"id":"2412.11365","title":"BiM-VFI: Bidirectional Motion Field-Guided Frame Interpolation for Video with Non-uniform Motions","created":"2024-12-16","cited_by_count":13,"area":null},{"id":"2211.04927","title":"DeepDC: Deep Distance Correlation as a Perceptual Image Quality Evaluator","created":"2022-11-09","cited_by_count":11,"area":null},{"id":"2305.08840","title":"Attacking Perceptual Similarity Metrics","created":"2023-05-15","cited_by_count":10,"area":null},{"id":"2502.11725","title":"Adversarially Robust CLIP Models Can Induce Better (Robust) Perceptual Metrics","created":"2025-02-17","cited_by_count":10,"area":null},{"id":"2502.13196","title":"GS-QA: Comprehensive Quality Assessment Benchmark for Gaussian Splatting View Synthesis","created":"2025-02-18","cited_by_count":9,"area":null},{"id":"2506.01061","title":"AceVFI: A Comprehensive Survey of Advances in Video Frame Interpolation","created":"2025-06-01","cited_by_count":9,"area":null},{"id":"2307.05468","title":"My3DGen: A Scalable Personalized 3D Generative Model","created":"2023-07-11","cited_by_count":8,"area":null},{"id":"2501.01116","title":"HarmonyIQA: Pioneering Benchmark and Model for Image Harmonization Quality Assessment","created":"2025-01-02","cited_by_count":7,"area":null},{"id":"2504.18524","title":"Augmenting Perceptual Super-Resolution via Image Quality Predictors","created":"2025-04-25","cited_by_count":7,"area":null},{"id":"2402.18192","title":"Misalignment-Robust Frequency Distribution Loss for Image Transformation","created":"2024-02-28","cited_by_count":6,"area":null},{"id":"2409.07650","title":"Foundation Models Boost Low-Level Perceptual Similarity Metrics","created":"2024-09-11","cited_by_count":6,"area":null},{"id":"2507.14367","title":"Hallucination Score: Towards Mitigating Hallucinations in Generative Image Super-Resolution","created":"2025-07-18","cited_by_count":6,"area":null},{"id":"2407.14880","title":"A New Dataset and Framework for Real-World Blurred Images Super-Resolution","created":"2024-07-20","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":"2607.18237","title":"The Many Senses of Visual Similarity: A Text-Prompted Image Perceptual Metric","created":"2026-07-20","cited_by_count":3,"area":null},{"id":"2402.00353","title":"High-Quality Medical Image Generation from Free-hand Sketch","created":"2024-02-01","cited_by_count":2,"area":null},{"id":"2503.16264","title":"Evaluating quality metrics through the lenses of psychophysical measurements of low-level vision","created":"2025-03-20","cited_by_count":2,"area":null},{"id":"2504.20340","title":"A Picture is Worth a Thousand Prompts? Efficacy of Iterative Human-Driven Prompt Refinement in Image Regeneration Tasks","created":"2025-04-29","cited_by_count":2,"area":null},{"id":"2507.12796","title":"DeQA-Doc: Adapting DeQA-Score to Document Image Quality Assessment","created":"2025-07-17","cited_by_count":2,"area":null},{"id":"2603.05010","title":"How far have we gone in Generative Image Restoration? A study on its capability, limitations and evaluation practices","created":"2026-03-05","cited_by_count":2,"area":null},{"id":"2412.17477","title":"Predicting Satisfied User and Machine Ratio for Compressed Images: A Unified Approach","created":"2024-12-23","cited_by_count":1,"area":null},{"id":"2505.23301","title":"Quality assessment of 3D human animation: Subjective and objective evaluation","created":"2025-05-29","cited_by_count":1,"area":null},{"id":"2511.08155","title":"Non-Aligned Reference Image Quality Assessment for Novel View Synthesis","created":"2025-11-11","cited_by_count":1,"area":null},{"id":"2511.14518","title":"D-PerceptCT: Deep Perceptual Enhancement for Low-Dose CT Images","created":"2025-11-18","cited_by_count":1,"area":null},{"id":"2601.10369","title":"Fine-Grained Human Pose Editing Assessment via Layer-Selective MLLMs","created":"2026-01-15","cited_by_count":1,"area":null},{"id":"2402.00993","title":"Compressed image quality assessment using stacking","created":"2024-02-01","cited_by_count":0,"area":null},{"id":"2511.00698","title":"Toward Better Optimization of Low-Dose CT Enhancement: A Critical Analysis of Loss Functions and Image Quality Assessment Metrics","created":"2025-11-01","cited_by_count":0,"area":null},{"id":"2607.03494","title":"Towards Standardized Light Field Quality Assessment: Hybrid Subjective Benchmarking and Objective Metric Evaluation","created":"2026-07-03","cited_by_count":0,"area":null},{"id":"2607.22783","title":"JPEG AIC2026: A large-scale dataset for fine-grained assessment of image coding","created":"2026-07-24","cited_by_count":0,"area":null}],"next_cursor":null}