Comments (2)
Vandermode
commented on July 20, 2024
Hello, TFPnP consists of two networks at inference, one is the denoising network used as prior, another is the policy network for scheduling the optimization parameters. So finding the UNet (denoiser) and the ResNet (policy network) in the codebase, and summing their parameters together should serve your purpose
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syf0518
commented on July 20, 2024
Thank you for your reply.I calculated the number of parameters of UNet and ResNet respectively, and the total number of parameters was 22.95M.
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Related Issues (9)
- looking forward the code HOT 6
- Can TFPnP deal with unlabeled data? HOT 2
- Training datasets for different applications HOT 2
- 如果将最大时间步设置为1效果会怎么样？ HOT 4
- Could not train CT dataset HOT 6
- How to calculate SSIM HOT 2
- A small problem in the new version code HOT 2
- Bad results on sparse-view CT with metal artifacts HOT 3
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