erence frame. When
decoded, RefTok preserves the continuity of motion and the appearance of
objects across frames. For example, RefTok retains facial details despite head
motion, reconstructs text correctly, preserves small patterns, and maintains
the legibility of handwriting from the context. Across 4 video datasets (K600,
UCF-101, BAIR Robot Pushing, and DAVIS), RefTok significantly outperforms
current state-of-the-art tokenizers (Cosmos and MAGVIT) and improves all
evaluated metrics (PSNR, SSIM, LPIPS) 