Dancing with Still Images: Video Distillation via Static-Dynamic Disentanglement

arXiv:2312.00362v2 Announce Type: replace-cross
Abstract: Recently, dataset distillation has paved the way towards efficient machine learning, especially for image datasets. However, the distillation for videos, characterized by an exclusive temporal dimension, remains an underexplored domain. In this work, we provide the first systematic study of video distillation and introduce a taxonomy to categorize temporal compression. Our investigation reveals that the temporal information is usually not well learned during distillation, and the temporal dimension of synthetic data contributes little. The observations …

arxiv cs.cv cs.lg dancing distillation dynamic images type via video