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Nov 5, 2025 · Artificial Intelligence

iDetex: The Winning AI Model Transforming Image Quality Assessment

iDetex, the champion solution of the ICCV 2025 MIPI Detailed Image Quality Assessment Challenge, introduces a novel multimodal LLM-driven framework that precisely locates, describes, and grades image distortions, outperforming traditional IQA models and enabling practical deployments across video, live streaming, e‑commerce, and image‑processing pipelines.

AIComputer VisionICCV 2025

0 likes · 18 min read

iDetex: The Winning AI Model Transforming Image Quality Assessment

AIWalker

Aug 3, 2025 · Artificial Intelligence

CVPR 2025: DeQA-Score Lets LLMs Predict Image Quality Score Distributions

DeQA-Score introduces a soft‑label discretization that lets multimodal large language models regress continuous image‑quality scores as Gaussian distributions, achieving 30× lower mean error and preserving variance and inter‑image relationships, with KL‑divergence and fidelity losses driving state‑of‑the‑art performance.

CVPR2025DeQA-ScoreMultimodal LLM

0 likes · 8 min read

CVPR 2025: DeQA-Score Lets LLMs Predict Image Quality Score Distributions

AIWalker

Jun 30, 2025 · Artificial Intelligence

ICCV 2025 MIPI Workshop Launches ViDA-UGC: A New UGC Image Quality Assessment Challenge

The ICCV MIPI workshop introduces the ViDA-UGC competition, presenting a richly annotated UGC image quality dataset, a benchmark suite covering degradation detection, region perception, and quality description, detailed evaluation metrics, submission formats, prize information, and open participation for researchers worldwide.

DatasetICCVMIPI

0 likes · 15 min read

ICCV 2025 MIPI Workshop Launches ViDA-UGC: A New UGC Image Quality Assessment Challenge

AIWalker

Apr 11, 2025 · Artificial Intelligence

Teaching Large Language Models to Predict Image Quality Scores with DeQA-Score

DeQA-Score, a CVPR 2025 work, shows how to train multimodal large language models to regress continuous image quality scores by discretizing scores into soft-label level tokens, preserving Gaussian distribution statistics and achieving state‑of‑the‑art performance without any installation.

CVPR2025DeQA-ScoreMultimodal LLM

0 likes · 8 min read

Teaching Large Language Models to Predict Image Quality Scores with DeQA-Score

AI Frontier Lectures

Apr 11, 2025 · Artificial Intelligence

How Q-Insight Uses Reinforcement Learning to Make AI Truly Understand Image Quality

Q-Insight, a multimodal large‑model introduced by Peking University and Volcano Engine, leverages reinforcement learning and a novel Group Relative Policy Optimization algorithm to evaluate image quality, providing detailed reasoning, degradation detection, and zero‑shot comparison, outperforming state‑of‑the‑art methods on multiple benchmarks.

AIComputer VisionVideo Cloud

0 likes · 10 min read

How Q-Insight Uses Reinforcement Learning to Make AI Truly Understand Image Quality

AIWalker

Feb 9, 2025 · Artificial Intelligence

Douyin’s BDVQAGroup Secures Global Runner‑Up in DXOMARK Image Quality Challenge at CVPR 2024

At CVPR 2024 NTIRE, Douyin’s BDVQAGroup achieved second place worldwide in the DXOMARK portrait quality track using their SampleIQA model, which combines data‑re‑sampling, a Swin‑Transformer backbone, twin‑network ranking loss and content‑aware cropping to outperform existing IQA state‑of‑the‑art methods.

Computer VisionDXOMARKDeep Learning

0 likes · 10 min read

Douyin’s BDVQAGroup Secures Global Runner‑Up in DXOMARK Image Quality Challenge at CVPR 2024

AIWalker

Feb 8, 2025 · Artificial Intelligence

Join the CVPR 2025 NTIRE AI-Generated Image Quality Challenge: Dual Tracks, Big Prizes, and the EvalMuse Dataset

The CVPR 2025 NTIRE workshop launches an AI-generated image quality assessment competition featuring two tracks—fine‑grained text‑image matching and structural issue detection—supported by the large‑scale EvalMuse dataset, detailed evaluation metrics, baseline code, and a prize pool of up to $10,000.

AI competitionCVPREvalMuse

0 likes · 9 min read

Join the CVPR 2025 NTIRE AI-Generated Image Quality Challenge: Dual Tracks, Big Prizes, and the EvalMuse Dataset

DaTaobao Tech

Jun 5, 2024 · Artificial Intelligence

Automated Quality Assessment for AIGC Image Generation: Recent Research Advances

The article reviews recent automated quality assessment advances for AIGC image generation, including an aesthetic scoring framework with the APDD dataset and AANSPS network, a human‑preference benchmark (HPD v2 and HPS v2) that outperforms IS/FID, and the Pick‑Score model trained on user‑driven Pick‑a‑Pic data, all enabling faster, unbiased evaluation, cost savings, and more effective model iteration, with ongoing work in home‑improvement AI.

AIGCAesthetic EvaluationHuman Preference

0 likes · 15 min read

Automated Quality Assessment for AIGC Image Generation: Recent Research Advances

ITPUB

Jul 21, 2022 · Artificial Intelligence

From Blur to Brilliance: How AI‑Powered Image Quality Assessment Transformed 58.com’s Recruitment Images

This article reviews image quality assessment fundamentals, modern CNN‑based IQA models, and their deployment at 58.com to automatically score, filter, and rank millions of recruitment photos, achieving a drop in low‑quality images from 9% to zero while boosting overall accuracy to 94.7%.

Business ApplicationCNNComputer Vision

0 likes · 19 min read

From Blur to Brilliance: How AI‑Powered Image Quality Assessment Transformed 58.com’s Recruitment Images

58 Tech

Jul 14, 2022 · Artificial Intelligence

Image Quality Assessment Techniques and Their Application in 58.com Recruitment Image Filtering

This article reviews image quality assessment (IQA) methods—including full‑reference, reduced‑reference, and no‑reference approaches—covers typical datasets and evaluation metrics, describes CNN‑based models such as WaDIQaM, DBCNN and hyperIQA, and details a customized IQA solution deployed at 58.com to filter and rank recruitment images, achieving a reduction of bad‑image rate from 9% to 0%.

CNNComputer VisionIQA

0 likes · 17 min read

Image Quality Assessment Techniques and Their Application in 58.com Recruitment Image Filtering

Kuaishou Tech

Feb 25, 2022 · Artificial Intelligence

Reference‑Guided Image Synthesis Assessment (RISA): Unsupervised Training for Single‑Image Quality Evaluation

The paper presents RISA, a reference‑guided image synthesis assessment model that learns to score the quality of a single generated image without human‑labeled data by leveraging GAN intermediate outputs, pixel‑wise interpolation, multiple binary classifiers, and contrastive learning, achieving results comparable to human perception and earning an AAAI 2022 oral presentation.

AIGANRISA

0 likes · 8 min read

Reference‑Guided Image Synthesis Assessment (RISA): Unsupervised Training for Single‑Image Quality Evaluation

NetEase Media Technology Team

Apr 26, 2019 · Artificial Intelligence

Intelligent Cover Image Selection System for News Articles: Image Quality Assessment and Smart Cropping

The article describes an intelligent cover‑image selection system for NetEase News that automatically filters unsuitable illustrations, assesses image quality with a pairwise‑trained deep model across clarity, color and composition, and smartly crops images using aspect‑ratio‑aware object detection, dramatically cutting manual editing and enabling confidence‑based automatic publishing.

Computer VisionImage CroppingNeural Network

0 likes · 11 min read

Intelligent Cover Image Selection System for News Articles: Image Quality Assessment and Smart Cropping