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csslc avatar csslc commented on August 23, 2024

你好,感谢你对我们的工作感兴趣!
推理过程中 x_T 是纯噪声。x_T 到 x_max 这一步是为了直接从 LR 图片中提取信息。因为复原和生成不同,复原中的 LR 中已经包含了很多信息,不需要再像生成任务一样每个 pixel 都'从 0 生成'。因此提取完信息以后,类比于已经达到了 diffusion process 的中间步骤。因此不需要再 x_T 逐步去噪。这样做的好处是:随机性减少了,质量更加稳定,并且还可以加速。
'LR加对应噪声得到x_tmax' 这个想法很有意思,我们目前没有做过相关的验证实验。但是我觉得,这种方法可能受 LR 退化程度影响更大。如果你有有意思的发现,欢迎进一步交流讨论!

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