WACV

ViTNT-FIQA: Training-Free Face Image Quality Assessment with Vision Transformers

ViTNT-FIQA: 基于视觉变换器的无训练面部图像质量评估

Guray Ozgur, Eduarda Caldeira, Tahar Chettaoui, Jan Niklas Kolf, Marco Huber, Naser Damer, Fadi Boutros

AI总结 ViTNT-FIQA通过测量视觉变换器中间块补丁嵌入演变的稳定性，实现无训练的面部图像质量评估，具有高效计算和广泛适用性。

Comments Accepted at WACV Workshops

Transforming Video Subjective Testing with Training, Engagement, and Real-Time Feedback

通过训练、参与和实时反馈转变视频主观测试

Kumar Rahul, Sriram Sethuraman, Andrew Segall, Yixu Chen

AI总结 本文提出一种通过训练、参与和实时反馈改进视频主观测试的新方法，提升数据质量和评分单调性。

Comments Accepted at 5th Workshop on Image/Video/Audio Quality Assessment in Computer Vision, VLM and Diffusion Model (WVAQ), at IEEE/CVF WACV 2026