TReViS: Temporal Repetition Structure Aware Video Synthesis for Self-supervised Repetitive Action Counting

Fully supervised repetitive action counting (RAC) has achieved strong performance, but requires dense temporal annotations that are costly and difficult to scale. We propose TReViS, a self-supervised video synthesis framework that enables training RAC models without any repetition labels. TReViS est