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Hi, if you are training the model for DIM benchmark, please use DIM config, if for real-world portrait images, please use RWP config and the data preparation.
why comp weight set to 0 in config file, why not use comp loss to train network
As mentioned in the paper, during RWP training the composited input is heavily augmented (e.g. with noise), whereas in the compositional loss it would be compared against a blend of clean, non-augmented source background and foreground, which makes no sense.
I train the network using the DIM config, but got very poor results, This is my train loss curve, and should i use the RWP config ?
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