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Dataset and Code for our CVPR'18 paper ST-CGAN: "Stacked Conditional Generative Adversarial Networks for Jointly Learning Shadow Detection and Shadow Removal"

computer-graphics computer-vision deep-learning gan generative-adversarial-network image-processing low-level shadow-detection shadow-removal

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st-cgan's Issues

Test for research

Hello,
I see that this solution fit my research needs.
Currently i am testing only pix2pix variations like CGAN, GANBegin and another solution Photographic Image Synthesis with Cascaded Refinement Networks solutions. The main purpose is to inspect the quality of shadow removal by passing images with and without shadow.
As cGAN gave me the best results, but even those where not perfect for my training dataset, i would like to ask you for the code ? Just for testing purposes ! Is it possible ?

您好,关于源码问题。

最近看了相关的论文,也自己做了相关的实验,但是怀疑我写的评价指标部分的代码,和文章中所用有较大区别,所以想请问一下是否方便尽快开源一下评价指标那部分代码,想进行一下对比,谢谢您!

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