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🌱News🌱

  • 2022-03-02- Our paper "Occlusion-Aware Cost Constructor for Light Field Depth Estimation" is accepted by CVPR 2022. Code is available at OACC-Net.
  • 2022-02-16- Our paper "Disentangling Light Fields for Super-Resolution and Disparity Estimation" is accepted by IEEE TPAMI.
  • 2021-12-25- The source codes of our DistgSSR, DistgASR, and DistgDisp have been released.
  • 2021-12-10- An online review of light field image super-resolution is available at LF-Image-SR, and an open source toolbox is available at ZhengyuLiang24/BasicLFSR.

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lf-internet's Issues

About Real-World Degradation?

Hi, how do you get the Real-World Degradation samples? It is not using bicubic downsampling method?
(2) How do you retrained the ResLF?
Thans a lot.

Training details about Datasets

Thanks for sharing. When I see the codes, I can't find random flipping and 90-degree rotation in data perprocessing. And I trained the project(5×5 and upscale=4,channels=64) by myself, but my results on the test datasets are a little lower than yours(PSNR on six dataset: 29.45,30.99,37.17,31.62,30.39,31.78), but your pretrained model can get the result in this paper, so i think maybe is the problem about data augmentation(you did it but i didn't)?

Question about the pretrained models

Hi, author. I really appreciate your interesting work! But I would like to know which dataset is used to train the pretrained models that you provide? or you train the model with all the data in 6 datasets?

looking forward to your reply!

Why L is set to 2 for calculating SSIM

Hello, your work is excellent! But I have some questions, I would like to ask why L is set to 2 in the Matlab code for calculating SSIM, and should not be 1?

downsampling method

Hi, thanks for your nice work.

It seems that both your training and testing code used the nearest downsampling instead of bicubic. Will it influence the SR performance?

Asking for help about the compared methods?

Hi, I have a question to ask you. Are all the compared methods needs to retrained on the same datasets as your paper stated?
How to compute the biscubic and the SISR methods's PSNR and SSIM on one LF image?

Hope for your kindly reply,
Regards

Question for Dataset

Thanks for your sharing. I found that the images in your dataset are brighter and more comfortable than the dataset downloaded directly from the official website. How do you handle the original images, can you share the code?

Code running problems

When I run the evaluation.m file, I have the following problem:
错误使用 rgb2ycbcr
需要的 第 1 个输入, RGB, 应为以下类型之一:

uint8, uint16, double

但其类型是 single。

I am a beginner, what should be changed in the code?Looking forward to your reply!

When I run the test code, the computer is crashed??

Dear Yingqian,

Thanks for your work.
I download the test code and your test datasets & pretrained model. But when I run the code, The computer will crashed.
The PC is as like this: GPU: 1080Ti, 8GB memory, i7 CPU, and os is Ubuntu 18.04.
This will be happen when I run it on another PC with win7 os.
Any help about this problem?

Model initialization

Hello, thanks for sharing. I notice that the model is initialized using Xavier method in your paper, but I don't find correspoding code in this repo. So I'm confused and want to know why, thanks a lot! From a pytorch beginner.

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