Chun Zhang

Benchmarking token mixers for efficient transformer-based learned video compression

This study establishes a clear lower bound and optimal trade-off points for context modeling in ATEM, provides critical insights into the redundancy of context module designs in video compression and establishes a new efficiency benchmark for future lightweight framework designs.