MLS-GAN: Multi-Level Semantic Guided Image Colorization

Swing is a critical important part in golf and it involves the whole body movement when players hit the ball. A good swing requires proper posture, which needs a lot of practice to achieve the standardized full-body coordination. Considering that the amateur players often lack necessary supervision during self-practice, we introduce an automatic moving pose grading method based on monocular swing videos. Specifically, given a swing video, the 3D human poses are firstly extracted. Then, dynamic time warping (DTW) is introduced to perform moving pose alignment between a query and a reference video. Finally, a distance-based grading strategy is proposed based on the temporally aligned swing videos.