5th Workshop on Image/Video/Audio Quality Assessment in Computer Vision, VLM and Diffusion Model

Image, video, and audio quality significantly impacts machine learning and computer vision systems, yetremains underexplored by the broader research community. Real-world applications—from streaming ser-vices and autonomous vehicles to cashier-less stores and generative AI—critically depend on robust qualityassessment and improvement techniques. Despite their importance, most visual learning systems assumehigh-quality inputs, while in reality, artifacts from capture, compression, transmission, and rendering pro-cesses can severely degrade performance and user experience.This workshop is particularly timely given the explosive growth of generative AI, which introducesnew challenges in quality assessment for both inputs and outputs. By bringing together researchers fromindustry and academia, we aim to systematically investigate how quality issues affect various visual learningtasks and develop innovative assessment and mitigation techniques. Building on the success of our previousworkshops at WACV(2022-2025), we expect to stimulate new research directions and attract more talent tothis critical field, ultimately improving the robustness and reliability of computer vision applications acrossindustries.