What to inspect
The reviewer asks how post-training changes perceptual quality, fidelity, and continuity at reference updates. The videos compare Full VARO with No post-training, Reference-only, and System-only. Step through the same region before and after an update to see whether texture changes abruptly or carries through to the next non-keyframes.
Results in the rebuttal
R1-Table2 reports full-video PSNR, SSIM, LPIPS, CLIP-IQA, MANIQA, MUSIQ, and DOVER on UDM10. Full VARO achieves the best LPIPS, CLIP-IQA, and MANIQA among the evaluated variants. In the blinded comparisons in R1-Table3, viewers favored Full VARO for smoother reference updates over No post-training and Reference-only. Against System-only, the larger preference margin was for overall quality.