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Predictive Filter Flow for fully/self-supervised learning on various vision tasks

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Thanks for sharing amazing awesome work! According to your paper's setting and code (task01_deblur.ipynb), we try to reproduce the results of JPEG compression artifact reduction by retraining the model you...

Recently, My team try to produce your paper's result by the model you proved(epoch-445.paramOnly) and the code(task01_deblur.ipynb). But the results is not as good as your paper, I wonder if...

how can we test own images on the trained model

当我运行 task01_deblur.ipynb 中的 Full resolution testing 时出现了这个问题。请问这个问题怎么解决?

how to test the deblur notebook on your own images in the wild?

can we use Predictive Filter Flow for depth predcition task ? ref paper: Adversarial Collaboration: Joint Unsupervised Learning of Depth, Camera Motion, Optical Flow and Motion Segmentation https://arxiv.org/abs/1805.09806 depth related...

![image](https://user-images.githubusercontent.com/46110602/56873963-ed300100-6a68-11e9-8664-2cb7d6bc3904.png) when I running training demo of mgpff with torch 1.0.1.post2 , ubuntu16.04, the problem pop out. I thing it is related to some slide operation in losses.py, I fix...

![image](https://user-images.githubusercontent.com/46110602/56873922-9296a500-6a68-11e9-9520-4f1d3af9fec5.png)

Hey, thanks for your great paper, I wonder if there is code for training mgpff?Now it seems only demo is available

Hi, do you have the code for pose tracking? I wonder how exactly do you encode the 15 keypoints as 15 maps?