STB-VMM: Swin Transformer based Video Motion Magnification

The goal of video motion magnification techniques is to magnify small motions in a reveal previously invisible or unseen movement. Its uses extend from bio-medical applications and deepfake detection structural modal analysis predictive maintenance. However, discerning noise complex task, especially when attempting very subtle, often sub-pixel As result, generally suffer noisy blurry outputs. This work presents new state-of-the-art model based on the Swin Transformer, which offers better tolerance inputs as well higher-quality outputs that exhibit less noise, blurriness, artifacts than prior-art. Improvements output image quality will enable more precise measurements for any application reliant magnified sequences, may further development technical fields.