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Thank you for your outstanding work! This is my first time encountering self-distillation applied to event-based motion deblurring, and I am very curious about the performance improvements it provides. Specifically, I would like to know what the PSNR/SSIM values would be if only a single training stage were used.
Thank you, and I look forward to your reply!
The text was updated successfully, but these errors were encountered:
Hi, thanks for your question. Self-distillation is used to improve the generalization ability across spatial and temporal dimensions. We have conducted related experiments, and some results are reported in Section 4.3 of our paper, specifically models 3 (one-stage) and 6 (two-stage) in Tab. 3 and Fig. 6. Hope this helps :)
Hello,
Thank you for your outstanding work! This is my first time encountering self-distillation applied to event-based motion deblurring, and I am very curious about the performance improvements it provides. Specifically, I would like to know what the PSNR/SSIM values would be if only a single training stage were used.
Thank you, and I look forward to your reply!
The text was updated successfully, but these errors were encountered: