terryoo / aindnet Goto Github PK
View Code? Open in Web Editor NEWTransfer Learning from Synthetic to Real-Noise Denoising with Adaptive Instance Normalization (CVPR 2020)
Transfer Learning from Synthetic to Real-Noise Denoising with Adaptive Instance Normalization (CVPR 2020)
Your paper describes that the noise estimator outputs two noise-level maps of sigma_4 (?.H/4,W/4,,3) and sigma_1 (?,H,W,3) for computing the weighted average for feeding into AIN-ResBlocks as well as for computing the asymmetric loss.
However, in your code, the noise estimator appears to output two noise-level maps of sigma_8 (?,H/8,W/8,3) and sigma_1 (?,H,W,3) for computing the weighted average and I guess also for computing the asymmetric loss (couldn't confirm this because your training code is not available).
Would appreciate if you could give a comment on this discrepancy (sigma_4 vs sigma_8).
Good idea and works, but I can't run this code, the checkpoint file is too small and restore error! Is the file named "checkpoint" in SIDDtransfer directory the right file?
Hi, thanks for your amazing work.
I want to compare my work with yours. Can you provide the number of Parameters and FLOPs of your model?
Could you disclose the training script for your AINDNet for both gaussian and rn?
Nice work.
Could you release your training code?
In your paper, you mentioned that the weight term of the noise-level estimator is empirically determined to 0.05 (i.e., lambda_ms-asymm = 0.05).
Isn't this typo for lambda_ms-asymm = 0.5 ???
Thank you for your awesome code!
I am hoping you might open-source the log files you have from training. Maybe the training and validation loss as a function of epoch
(and/or batch) with an estimate of the runtime?
Your work is very good, can you provide the training code
In your following code, def ain():
noisemap_beta = tf.layers.conv2d(tmp, channels, [3, 3], kernel_initializer=tf.contrib.layers.variance_scaling_initializer(0.02),
padding='same',
name='conv_beta')
'tmp' needs to be changed into 'noisemap_gamma' ??
Otherwise, 'noisemap_gamma' and 'noisemap_beta' are the same...
A declarative, efficient, and flexible JavaScript library for building user interfaces.
๐ Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. ๐๐๐
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google โค๏ธ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.