Image-Adaptive-3DLUT
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HuiZeng
Learning Image-adaptive 3D Lookup Tables for High Performance Photo Enhancement in Real-time
Thank you for your efforts . I have test a single image folder in demo_eval.py and ouuputs a satisfactory image! Now I just to know how to test a video...
thank the great work how to pack three lut models and classifier model then use C++ to get one image? thanks
Hi, thanks for your great work. I try your code on fiveK dataset and find that it can run successfully using the default setting (batch size=1). However, when I switch...
Hi there, This is probably more a modelling question rather than an issue with the code, but it might be worth discussing here anyway. I am training your model and...
### In the model.py and the code for training,  ### What is the difference of the "Generator3DLUT_identity" and "Generator3DLUT_zero" ? ### At first, in my opinion, the parameters of...
Good day, Dr. Zeng, Thanks for your great work. Here I have some questions about UIE [11] as cited in your paper. 1. It actually doesn't iteratively enhance the input...
Hello, your work is very good. How to solve this problem? Do you need to add this function trilinear_func.py? Can you update this function to your code in the github?
您好，看到论文中提到As shown in Fig. 2(a), a 3D LUT defines a 3D lattice which consists of M^3 elements。那么当M=33时，参数量应当为36k，但是在文中看到When M = 33, a 3D LUT contains 108K (3M^3) parameters. M前的系数3是什么含义的？
It occured 'Segmentation fault (core dumped)' for cpu version and 'cudaCheckError() failed : invalid device function. Segmentation fault (core dumped)' for CUDA version every time when I trained this network....
Actually i dive in the cuda c++ file. Then i found that the input image Tensor should be in size [CHANNEL_SIZE(3), BATCH_SIZE,WIDTH,HEIGHT]. However, in the python code, the input image...
