{"total":57,"rows":[{"id":"2501.11561","title":"Teaching Large Language Models to Regress Accurate Image Quality Scores using Score Distribution","created":"2025-01-20","cited_by_count":141,"area":"mllm"},{"id":"2312.08962","title":"Depicting Beyond Scores: Advancing Image Quality Assessment through Multi-modal Language Models","created":"2023-12-14","cited_by_count":105,"area":"mllm"},{"id":"2405.19298","title":"Adaptive Image Quality Assessment via Teaching Large Multimodal Model to Compare","created":"2024-05-29","cited_by_count":66,"area":"mllm"},{"id":"2303.14302","title":"VILA: Learning Image Aesthetics from User Comments with Vision-Language Pretraining","created":"2023-03-24","cited_by_count":65,"area":"mllm"},{"id":"2405.18842","title":"Enhancing Descriptive Image Quality Assessment with A Large-scale Multi-modal Dataset","created":"2024-05-29","cited_by_count":38,"area":"mllm"},{"id":"2411.17221","title":"AIGV-Assessor: Benchmarking and Evaluating the Perceptual Quality of Text-to-Video Generation with LMM","created":"2024-11-26","cited_by_count":24,"area":"mllm"},{"id":"2402.01162","title":"2AFC Prompting of Large Multimodal Models for Image Quality Assessment","created":"2024-02-02","cited_by_count":20,"area":"mllm"},{"id":"2403.12806","title":"VisualCritic: Making LMMs Perceive Visual Quality Like Humans","created":"2024-03-19","cited_by_count":13,"area":"mllm"},{"id":"2406.01069","title":"UniQA: Unified Vision-Language Pre-training for Image Quality and Aesthetic Assessment","created":"2024-06-03","cited_by_count":13,"area":"mllm"},{"id":"2411.17237","title":"Grounding-IQA: Grounding Multimodal Language Model for Image Quality Assessment","created":"2024-11-26","cited_by_count":12,"area":"mllm"},{"id":"2503.06141","title":"Next Token Is Enough: Realistic Image Quality and Aesthetic Scoring with Multimodal Large Language Model","created":"2025-03-08","cited_by_count":12,"area":"mllm"},{"id":"2409.02101","title":"Towards Real-World Adverse Weather Image Restoration: Enhancing Clearness and Semantics with Vision-Language Models","created":"2024-09-03","cited_by_count":10,"area":"mllm"},{"id":"2509.25787","title":"Self-Evolving Vision-Language Models for Image Quality Assessment via Voting and Ranking","created":"2025-09-30","cited_by_count":10,"area":"mllm"},{"id":"2501.13964","title":"Advancing the Understanding and Evaluation of AR-Generated Scenes: When Vision-Language Models Shine and Stumble","created":"2025-01-21","cited_by_count":9,"area":"mllm"},{"id":"2411.03034","title":"HumanVLM: Foundation for Human-Scene Vision-Language Model","created":"2024-11-05","cited_by_count":8,"area":"mllm"},{"id":"2503.17827","title":"4D-Bench: Benchmarking Multi-modal Large Language Models for 4D Object Understanding","created":"2025-03-22","cited_by_count":8,"area":"mllm"},{"id":"2508.11317","title":"Logic Unseen: Revealing the Logical Blindspots of Vision-Language Models","created":"2025-08-15","cited_by_count":7,"area":"mllm"},{"id":"2511.07812","title":"Revisiting MLLM Based Image Quality Assessment: Errors and Remedy","created":"2025-11-11","cited_by_count":7,"area":"mllm"},{"id":"2512.18599","title":"Restore-R1: Efficient Image Restoration Agents via Reinforcement Learning with Multimodal LLM Perceptual Feedback","created":"2025-12-21","cited_by_count":6,"area":"mllm"},{"id":"2503.02206","title":"Language-Guided Visual Perception Disentanglement for Image Quality Assessment and Conditional Image Generation","created":"2025-03-04","cited_by_count":5,"area":"mllm"},{"id":"2307.14063","title":"ECO: Ensembling Context Optimization for Vision-Language Models","created":"2023-07-26","cited_by_count":4,"area":"mllm"},{"id":"2409.05381","title":"Few-Shot Image Quality Assessment via Adaptation of Vision-Language Models","created":"2024-09-09","cited_by_count":4,"area":"mllm"},{"id":"2606.16799","title":"Decoupling Semantics from Distortions: Multi-Scale Two-Stream Vision-Language Alignment for AI-Generated Image Quality Assessment","created":"2026-06-15","cited_by_count":4,"area":"mllm"},{"id":"2411.12791","title":"Mitigating Perception Bias: A Training-Free Approach to Enhance LMM for Image Quality Assessment","created":"2024-11-19","cited_by_count":3,"area":"mllm"},{"id":"2502.13990","title":"Remote Sensing Semantic Segmentation Quality Assessment based on Vision Language Model","created":"2025-02-19","cited_by_count":3,"area":"mllm"},{"id":"2508.06092","title":"Q-CLIP: Unleashing the Power of Vision-Language Models for Video Quality Assessment through Unified Cross-Modal Adaptation","created":"2025-08-08","cited_by_count":3,"area":"mllm"},{"id":"2508.16158","title":"RAGSR: Regional Attention Guided Diffusion for Image Super-Resolution","created":"2025-08-22","cited_by_count":3,"area":"mllm"},{"id":"2601.21798","title":"CG-MLLM: Captioning and Generating 3D content via Multi-modal Large Language Models","created":"2026-01-29","cited_by_count":3,"area":"mllm"},{"id":"2603.17055","title":"PaAgent: Portrait-Aware Image Restoration Agent via Subjective-Objective Reinforcement Learning","created":"2026-03-17","cited_by_count":3,"area":"mllm"},{"id":"2412.06760","title":"Ranking-aware adapter for text-driven image ordering with CLIP","created":"2024-12-09","cited_by_count":2,"area":"mllm"},{"id":"2412.10594","title":"Towards Unified Benchmark and Models for Multi-Modal Perceptual Metrics","created":"2024-12-13","cited_by_count":2,"area":"mllm"},{"id":"2508.12605","title":"ViDA-UGC: Detailed Image Quality Analysis via Visual Distortion Assessment for UGC Images","created":"2025-08-18","cited_by_count":2,"area":"mllm"},{"id":"2605.30915","title":"DiTTo: Scalable Order-aware All-in-One Image Restoration Agent","created":"2026-05-29","cited_by_count":2,"area":"mllm"},{"id":"2504.11733","title":"DVLTA-VQA: Decoupled Vision-Language Modeling with Text-Guided Adaptation for Blind Video Quality Assessment","created":"2025-04-16","cited_by_count":1,"area":"mllm"},{"id":"2506.21874","title":"On the Feasibility of Poisoning Text-to-Image AI Models via Adversarial Mislabeling","created":"2025-06-27","cited_by_count":1,"area":"mllm"},{"id":"2511.06360","title":"AesTest: Measuring Aesthetic Intelligence from Perception to Production","created":"2025-11-09","cited_by_count":1,"area":"mllm"},{"id":"2511.17962","title":"VITAL: Vision-Encoder-centered Pre-training for LMMs in Visual Quality Assessment","created":"2025-11-22","cited_by_count":1,"area":"mllm"},{"id":"2512.15372","title":"Image Complexity-Aware Adaptive Retrieval for Efficient Vision-Language Models","created":"2025-12-17","cited_by_count":1,"area":"mllm"},{"id":"2601.20689","title":"Decoupling Perception and Calibration: Label-Efficient Image Quality Assessment Framework","created":"2026-01-28","cited_by_count":1,"area":"mllm"},{"id":"2606.16082","title":"Tool-IQA: Augmenting Image Quality Assessment with Simple Tools","created":"2026-06-15","cited_by_count":1,"area":"mllm"},{"id":"2507.15680","title":"Visual-Language Model Knowledge Distillation Method for Image Quality Assessment","created":"2025-07-21","cited_by_count":0,"area":"mllm"},{"id":"2510.19559","title":"A Matter of Time: Revealing the Structure of Time in Vision-Language Models","created":"2025-10-22","cited_by_count":0,"area":"mllm"},{"id":"2603.10578","title":"R4-CGQA: Retrieval-based Vision Language Models for Computer Graphics Image Quality Assessment","created":"2026-03-11","cited_by_count":0,"area":"mllm"},{"id":"2605.06969","title":"Bringing Multimodal Large Language Models to Infrared-Visible Image Fusion Quality Assessment","created":"2026-05-07","cited_by_count":0,"area":"mllm"},{"id":"2605.10576","title":"SenseBench: A Benchmark for Remote Sensing Low-Level Visual Perception and Description in Large Vision-Language Models","created":"2026-05-11","cited_by_count":0,"area":"mllm"},{"id":"2605.17489","title":"Employing Vision-Language Models for Face Image Quality Assessment","created":"2026-05-17","cited_by_count":0,"area":"mllm"},{"id":"2605.21130","title":"VersusQ: Pairwise Margin Reasoning for Generalizable Video Quality Assessment","created":"2026-05-20","cited_by_count":0,"area":"mllm"},{"id":"2605.22208","title":"EvoIR-Agent: Self-Evolving Image Restoration Agentic System via Experience-Driven Learning","created":"2026-05-21","cited_by_count":0,"area":"mllm"},{"id":"2606.00112","title":"Evolving to the Aesthetics of a Vision-Language Model","created":"2026-05-27","cited_by_count":0,"area":"mllm"},{"id":"2608.09145","title":"Right Answer, Wrong Heat: Explanation-Aware Evaluation and Thermal-Grounded Feedback for MLLMs on Infrared Images","created":"2026-08-10","cited_by_count":0,"area":"mllm"},{"id":"2608.18579","title":"MR-IQA-2: Faithful Image Quality Reflection via Fine-Grained Credit Assignment","created":"2026-08-19","cited_by_count":0,"area":"mllm"},{"id":"2608.25876","title":"Do Vision-Language Models Agree on the Affective Qualities of Shape? A Cross-Model Audit for Generative Design Interfaces","created":"2026-08-26","cited_by_count":0,"area":"mllm"},{"id":"2608.28784","title":"ClearText-Video: A Large-Scale Text-Centric Video Dataset Bridging Video Restoration and Scene-Text Enhancement","created":"2026-08-28","cited_by_count":0,"area":"mllm"},{"id":"2609.16664","title":"Bridging the Perceptual Gap: Residual-Enhanced Downscaling and Manifold-Aware Perception Alignment Adaptation for NR-IQA","created":"2026-09-15","cited_by_count":0,"area":"mllm"},{"id":"2609.27110","title":"Feed the Panel Dimensions, Not Verdicts: Rubric-Decomposed Fusion of Vision-Language Aesthetic Judges","created":"2026-09-22","cited_by_count":0,"area":"mllm"},{"id":"2610.00666","title":"VisionQ: VLM-as-a-Judge Taxonomy, Dataset and Benchmark for Qualitative Analysis in Computer Vision","created":"2026-09-30","cited_by_count":0,"area":"mllm"},{"id":"2610.14397","title":"RealityBench: Simulated Environments to Evaluate a Vision Language Model's Ability to Document Human Physical Work","created":"2026-10-09","cited_by_count":0,"area":"mllm"}],"next_cursor":null}