{"total":307,"rows":[{"id":"2108.05997","title":"MUSIQ: Multi-scale Image Quality Transformer","created":"2021-08-12","cited_by_count":1081,"area":null},{"id":"2204.08958","title":"MANIQA: Multi-dimension Attention Network for No-Reference Image Quality Assessment","created":"2022-04-19","cited_by_count":522,"area":null},{"id":"2312.17090","title":"Q-Align: Teaching LMMs for Visual Scoring via Discrete Text-Defined Levels","created":"2023-12-28","cited_by_count":503,"area":null},{"id":"2204.01697","title":"MaxViT: Multi-Axis Vision Transformer","created":"2022-04-04","cited_by_count":476,"area":null},{"id":"2211.04894","title":"Exploring Video Quality Assessment on User Generated Contents from Aesthetic and Technical Perspectives","created":"2022-11-09","cited_by_count":320,"area":null},{"id":"2309.14181","title":"Q-Bench: A Benchmark for General-Purpose Foundation Models on Low-level Vision","created":"2023-09-25","cited_by_count":249,"area":null},{"id":"2308.03060","title":"TOPIQ: A Top-down Approach from Semantics to Distortions for Image Quality Assessment","created":"2023-08-06","cited_by_count":226,"area":null},{"id":"2108.00941","title":"A Survey of Human-in-the-loop for Machine Learning","created":"2021-08-02","cited_by_count":215,"area":null},{"id":"2108.06858","title":"No-Reference Image Quality Assessment via Transformers, Relative Ranking, and Self-Consistency","created":"2021-08-16","cited_by_count":166,"area":null},{"id":"2104.10729","title":"Low-Light Image and Video Enhancement Using Deep Learning: A Survey","created":"2021-04-21","cited_by_count":148,"area":null},{"id":"2306.04717","title":"AGIQA-3K: An Open Database for AI-Generated Image Quality Assessment","created":"2023-06-07","cited_by_count":142,"area":null},{"id":"2503.22679","title":"Q-Insight: Understanding Image Quality via Visual Reinforcement Learning","created":"2025-03-28","cited_by_count":98,"area":null},{"id":"2304.03994","title":"RIDCP: Revitalizing Real Image Dehazing via High-Quality Codebook Priors","created":"2023-04-08","cited_by_count":73,"area":null},{"id":"2305.10665","title":"Content-based Unrestricted Adversarial Attack","created":"2023-05-18","cited_by_count":73,"area":null},{"id":"2303.09101","title":"Contrastive Semi-supervised Learning for Underwater Image Restoration via Reliable Bank","created":"2023-03-16","cited_by_count":71,"area":null},{"id":"2208.06857","title":"Underwater Ranker: Learn Which Is Better and How to Be Better","created":"2022-08-14","cited_by_count":67,"area":null},{"id":"2401.01952","title":"Instruct-Imagen: Image Generation with Multi-modal Instruction","created":"2024-01-03","cited_by_count":65,"area":null},{"id":"2106.14490","title":"Making Images Real Again: A Comprehensive Survey on Deep Image Composition","created":"2021-06-28","cited_by_count":63,"area":null},{"id":"2102.09000","title":"Mobile Computational Photography: A Tour","created":"2021-02-17","cited_by_count":62,"area":null},{"id":"2408.15994","title":"Perceive-IR: Learning to Perceive Degradation Better for All-in-One Image Restoration","created":"2024-08-28","cited_by_count":62,"area":null},{"id":"2410.15067","title":"A Survey on All-in-One Image Restoration: Taxonomy, Evaluation and Future Trends","created":"2024-10-19","cited_by_count":60,"area":null},{"id":"2303.12618","title":"A Perceptual Quality Assessment Exploration for AIGC Images","created":"2023-03-22","cited_by_count":55,"area":null},{"id":"2211.09454","title":"DeepPrivacy2: Towards Realistic Full-Body Anonymization","created":"2022-11-17","cited_by_count":51,"area":null},{"id":"2303.15166","title":"Towards Artistic Image Aesthetics Assessment: a Large-scale Dataset and a New Method","created":"2023-03-27","cited_by_count":49,"area":null},{"id":"2405.16105","title":"MambaLLIE: Implicit Retinex-Aware Low Light Enhancement with Global-then-Local State Space","created":"2024-05-25","cited_by_count":48,"area":null},{"id":"2103.09950","title":"Learning to Resize Images for Computer Vision Tasks","created":"2021-03-17","cited_by_count":45,"area":null},{"id":"2112.06074","title":"Early Stopping for Deep Image Prior","created":"2021-12-11","cited_by_count":44,"area":null},{"id":"2404.09619","title":"UNIAA: A Unified Multi-modal Image Aesthetic Assessment Baseline and Benchmark","created":"2024-04-15","cited_by_count":42,"area":null},{"id":"2206.11695","title":"NTIRE 2022 Challenge on Perceptual Image Quality Assessment","created":"2022-06-23","cited_by_count":41,"area":null},{"id":"2210.02041","title":"Natural Color Fool: Towards Boosting Black-box Unrestricted Attacks","created":"2022-10-05","cited_by_count":38,"area":null},{"id":"2210.16559","title":"Few-shot Image Generation via Adaptation-Aware Kernel Modulation","created":"2022-10-29","cited_by_count":33,"area":null},{"id":"2301.06782","title":"A Large-Scale Outdoor Multi-modal Dataset and Benchmark for Novel View Synthesis and Implicit Scene Reconstruction","created":"2023-01-17","cited_by_count":32,"area":null},{"id":"2110.11995","title":"PhotoWCT$^2$: Compact Autoencoder for Photorealistic Style Transfer Resulting from Blockwise Training and Skip Connections of High-Frequency Residuals","created":"2021-10-22","cited_by_count":30,"area":null},{"id":"2211.12109","title":"Video compression dataset and benchmark of learning-based video-quality metrics","created":"2022-11-22","cited_by_count":27,"area":null},{"id":"2406.07966","title":"Real-world Image Dehazing with Coherence-based Pseudo Labeling and Cooperative Unfolding Network","created":"2024-06-12","cited_by_count":26,"area":null},{"id":"2411.10798","title":"Unveiling Hidden Details: A RAW Data-Enhanced Paradigm for Real-World Super-Resolution","created":"2024-11-16","cited_by_count":26,"area":null},{"id":"2102.09351","title":"A Comprehensive Review of Deep Learning-based Single Image Super-resolution","created":"2021-02-18","cited_by_count":23,"area":null},{"id":"2311.14282","title":"Image Super-Resolution with Text Prompt Diffusion","created":"2023-11-24","cited_by_count":23,"area":null},{"id":"2209.13131","title":"Hitchhiker's Guide to Super-Resolution: Introduction and Recent Advances","created":"2022-09-27","cited_by_count":22,"area":null},{"id":"2104.03133","title":"Image Composition Assessment with Saliency-augmented Multi-pattern Pooling","created":"2021-04-07","cited_by_count":21,"area":null},{"id":"2303.08050","title":"Subjective and Objective Quality Assessment for in-the-Wild Computer Graphics Images","created":"2023-03-14","cited_by_count":21,"area":null},{"id":"2102.00195","title":"Quantifying Visual Image Quality: A Bayesian View","created":"2021-01-30","cited_by_count":20,"area":null},{"id":"2407.11566","title":"TGIF: Text-Guided Inpainting Forgery Dataset","created":"2024-07-16","cited_by_count":20,"area":null},{"id":"2104.07595","title":"Towards A Process Model for Co-Creating AI Experiences","created":"2021-04-15","cited_by_count":18,"area":null},{"id":"2105.09907","title":"Joint Face Image Restoration and Frontalization for Recognition","created":"2021-05-12","cited_by_count":18,"area":null},{"id":"2207.11617","title":"Face Deblurring using Dual Camera Fusion on Mobile Phones","created":"2022-07-23","cited_by_count":18,"area":null},{"id":"2503.07026","title":"Erase Diffusion: Empowering Object Removal Through Calibrating Diffusion Pathways","created":"2025-03-10","cited_by_count":18,"area":null},{"id":"2211.00366","title":"Universal Perturbation Attack on Differentiable No-Reference Image- and Video-Quality Metrics","created":"2022-11-01","cited_by_count":17,"area":null},{"id":"2104.01493","title":"Exponentiated Gradient Reweighting for Robust Training Under Label Noise and Beyond","created":"2021-04-03","cited_by_count":16,"area":null},{"id":"2106.14844","title":"Progressive Joint Low-light Enhancement and Noise Removal for Raw Images","created":"2021-06-28","cited_by_count":16,"area":null},{"id":"2304.14672","title":"Towards Robust Text-Prompted Semantic Criterion for In-the-Wild Video Quality Assessment","created":"2023-04-28","cited_by_count":16,"area":null},{"id":"2102.04033","title":"A Hybrid Bandit Model with Visual Priors for Creative Ranking in Display Advertising","created":"2021-02-08","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":"2111.07104","title":"A strong baseline for image and video quality assessment","created":"2021-11-13","cited_by_count":15,"area":null},{"id":"2206.08614","title":"Understanding Aesthetics with Language: A Photo Critique Dataset for Aesthetic Assessment","created":"2022-06-17","cited_by_count":15,"area":null},{"id":"2210.01879","title":"A Perceptual Quality Metric for Video Frame Interpolation","created":"2022-10-04","cited_by_count":15,"area":null},{"id":"2412.04508","title":"Video Quality Assessment: A Comprehensive Survey","created":"2024-12-04","cited_by_count":15,"area":null},{"id":"2203.12824","title":"Subjective and Objective Analysis of Streamed Gaming Videos","created":"2022-03-24","cited_by_count":14,"area":null},{"id":"2310.06958","title":"Comparing the Robustness of Modern No-Reference Image- and Video-Quality Metrics to Adversarial Attacks","created":"2023-10-10","cited_by_count":14,"area":null},{"id":"2407.03757","title":"DiffRetouch: Using Diffusion to Retouch on the Shoulder of Experts","created":"2024-07-04","cited_by_count":14,"area":null},{"id":"2112.04163","title":"Assessing a Single Image in Reference-Guided Image Synthesis","created":"2021-12-08","cited_by_count":13,"area":null},{"id":"2405.07346","title":"Quality Assessment for AI Generated Images with Instruction Tuning","created":"2024-05-12","cited_by_count":13,"area":null},{"id":"2409.05540","title":"Exploring Rich Subjective Quality Information for Image Quality Assessment in the Wild","created":"2024-09-09","cited_by_count":13,"area":null},{"id":"2503.09197","title":"Q-SiT: Teaching LMMs for Image Quality Scoring and Interpreting","created":"2025-03-12","cited_by_count":13,"area":null},{"id":"2102.01579","title":"Exploiting Raw Images for Real-Scene Super-Resolution","created":"2021-02-02","cited_by_count":12,"area":null},{"id":"2206.00809","title":"Distilling Knowledge from Object Classification to Aesthetics Assessment","created":"2022-06-02","cited_by_count":12,"area":null},{"id":"2311.03784","title":"UP-NeRF: Unconstrained Pose-Prior-Free Neural Radiance Fields","created":"2023-11-07","cited_by_count":12,"area":null},{"id":"2405.00256","title":"ASAM: Boosting Segment Anything Model with Adversarial Tuning","created":"2024-05-01","cited_by_count":12,"area":null},{"id":"2503.10078","title":"Image Quality Assessment: From Human to Machine Preference","created":"2025-03-13","cited_by_count":12,"area":null},{"id":"2102.03113","title":"Real-World Super-Resolution of Face-Images from Surveillance Cameras","created":"2021-02-05","cited_by_count":11,"area":null},{"id":"2110.13252","title":"VAC-CNN: A Visual Analytics System for Comparative Studies of Deep Convolutional Neural Networks","created":"2021-10-25","cited_by_count":11,"area":null},{"id":"2410.07901","title":"Semi-Supervised Video Desnowing Network via Temporal Decoupling Experts and Distribution-Driven Contrastive Regularization","created":"2024-10-10","cited_by_count":11,"area":null},{"id":"2104.05237","title":"Neural Camera Simulators","created":"2021-04-12","cited_by_count":10,"area":null},{"id":"2305.08840","title":"Attacking Perceptual Similarity Metrics","created":"2023-05-15","cited_by_count":10,"area":null},{"id":"2502.06593","title":"SAGI: Semantically Aligned and Uncertainty Guided AI Image Inpainting","created":"2025-02-10","cited_by_count":10,"area":null},{"id":"2505.21491","title":"Frame In-N-Out: Unbounded Controllable Image-to-Video Generation","created":"2025-05-27","cited_by_count":10,"area":null},{"id":"2601.09487","title":"SlidesGen-Bench: Evaluating Slides Generation via Computational and Quantitative Metrics","created":"2026-01-14","cited_by_count":10,"area":null},{"id":"2103.01114","title":"Deep Perceptual Image Quality Assessment for Compression","created":"2021-03-01","cited_by_count":9,"area":null},{"id":"2111.04647","title":"Composition and Style Attributes Guided Image Aesthetic Assessment","created":"2021-11-08","cited_by_count":9,"area":null},{"id":"2207.08124","title":"Source-free Unsupervised Domain Adaptation for Blind Image Quality Assessment","created":"2022-07-17","cited_by_count":9,"area":null},{"id":"2212.05813","title":"KonX: Cross-Resolution Image Quality Assessment","created":"2022-12-12","cited_by_count":9,"area":null},{"id":"2303.06905","title":"DEHRFormer: Real-time Transformer for Depth Estimation and Haze Removal from Varicolored Haze Scenes","created":"2023-03-13","cited_by_count":9,"area":null},{"id":"2307.16879","title":"Image Synthesis under Limited Data: A Survey and Taxonomy","created":"2023-07-31","cited_by_count":9,"area":null},{"id":"2410.02505","title":"Dog-IQA: Standard-guided Zero-shot MLLM for Mix-grained Image Quality Assessment","created":"2024-10-03","cited_by_count":9,"area":null},{"id":"2411.05027","title":"Generative Artificial Intelligence Meets Synthetic Aperture Radar: A Survey","created":"2024-11-05","cited_by_count":9,"area":null},{"id":"2501.08415","title":"Cross-Modal Transferable Image-to-Video Attack on Video Quality Metrics","created":"2025-01-14","cited_by_count":9,"area":null},{"id":"2207.05430","title":"Learning Diverse Tone Styles for Image Retouching","created":"2022-07-12","cited_by_count":8,"area":null},{"id":"2208.11313","title":"RZSR: Reference-based Zero-Shot Super-Resolution with Depth Guided Self-Exemplars","created":"2022-08-24","cited_by_count":8,"area":null},{"id":"2312.06158","title":"Adaptive Feature Selection for No-Reference Image Quality Assessment by Mitigating Semantic Noise Sensitivity","created":"2023-12-11","cited_by_count":8,"area":null},{"id":"2404.02154","title":"Dynamic Pre-training: Towards Efficient and Scalable All-in-One Image Restoration","created":"2024-04-02","cited_by_count":8,"area":null},{"id":"2404.18343","title":"G-Refine: A General Quality Refiner for Text-to-Image Generation","created":"2024-04-29","cited_by_count":8,"area":null},{"id":"2407.16541","title":"QPT V2: Masked Image Modeling Advances Visual Scoring","created":"2024-07-23","cited_by_count":8,"area":null},{"id":"2106.07488","title":"User-Guided Personalized Image Aesthetic Assessment based on Deep Reinforcement Learning","created":"2021-06-14","cited_by_count":7,"area":null},{"id":"2302.11464","title":"Gap-closing Matters: Perceptual Quality Evaluation and Optimization of Low-Light Image Enhancement","created":"2023-02-22","cited_by_count":7,"area":null},{"id":"2307.02191","title":"Evaluating AI systems under uncertain ground truth: a case study in dermatology","created":"2023-07-05","cited_by_count":7,"area":null},{"id":"2402.07116","title":"Q-Bench+: A Benchmark for Multi-modal Foundation Models on Low-level Vision from Single Images to Pairs","created":"2024-02-11","cited_by_count":7,"area":null},{"id":"2402.12760","title":"A User-Friendly Framework for Generating Model-Preferred Prompts in Text-to-Image Synthesis","created":"2024-02-20","cited_by_count":7,"area":null},{"id":"2405.09426","title":"Global-Local Image Perceptual Score (GLIPS): Evaluating Photorealistic Quality of AI-Generated Images","created":"2024-05-15","cited_by_count":7,"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}],"next_cursor":"100"}