A research team, led by Professor Jaejun Yoo from the Graduate School of Artificial Intelligence at UNIST has announced the development of an advanced artificial intelligence (AI) model, “BF-STVSR (Bidirectional Flow-based Spatio-Temporal Video Super-Resolution),” capable of simultaneously improving both video resolution and frame rate.

This research was led by first author Eunjin Kim, with Hyeonjin Kim serving as co-author. Their findings were presented at the Conference on Computer Vision and Pattern Recognition (CVPR 2025) held in Nashville June 11–15. The study is posted on the arXiv preprint server.

Resolution and frame rate are critical factors that determine video quality. Higher resolution results in sharper images with more detailed visuals, while increased frame rates ensure smoother motion without abrupt jumps.