The Visual Quality Assessment Competition (VQualA) Workshop at ICCV 2025 aims to advance perceptual quality evaluation in computer vision by addressing the limitations of traditional metrics such as PSNR and SSIM. Leveraging deep learning, generative models, and multimodal large language models (MLLMs), the workshop emphasizes human-aligned assessments. It features seven diverse challenges spanning low-level vision, document enhancement, face image quality, AIGC video evaluation, and visual comparison via MLLMs. Through both scalar metrics and comparative reasoning tasks, VQualA fosters more interpretable, robust, and perceptually meaningful evaluation. It unites academic and industrial communities to push the frontier of visual quality assessment forward.