image quality assessment

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

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%.

CNNIQAImage Processing

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.

Image Croppingcomputer visioncontent-aware image resizing

0 likes · 11 min read

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