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[ACMMM2023] "Enhancing Visibility in Nighttime Haze Images Using Guided APSF and Gradient Adaptive Convolution", https://arxiv.org/abs/2308.01738

M 0.31% MATLAB 24.89% Python 74.80%
deep-learning fog fog-removal glare glow haze haze-removal image-enhancement light-effects low-level-vision

nighttime_dehaze's Introduction

Hi πŸ‘‹ I'm Jin Yeying

I am a Senior Researcher at Tencent. I am pursuing my Ph.D. degree at the National University of Singapore (NUS), supervised by Prof. Robby T. Tan. I had my research internship in Adobe, mentored by Prof. Connelly Barnes.

Previously, I completed my M.Sc. degree from the National University of Singapore (NUS); and received my B.Eng degree from University of Electronic Science and Technology of China (UESTC).

My primary research interests include computer vision and deep learning, mainly focusing on image/video generation and enhancement.

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nighttime_dehaze's Issues

light Source matting

Hello, the light source mask in your article uses alpha matting. Do you manually add scribbles to each light source mask?

about the training way

Hello, may I know if your network was trained using an unpaired or paired approach? In your paper, you mentioned that your network was trained based on a CycleGAN-based network (an unpaired training method). However, in the experimental section, you stated that a paired GTA5 dataset was used for training.

Training Code

Hello! Thank you for your work!⭐⭐⭐

Very Good!πŸ‘πŸ‘πŸ‘

I want to learn this network and retrain in other directions.
Is the training code convenient for public access?

Thank you very much!🌸🌸🌸
Looking forward for your replyοΌπŸ’–πŸ’–πŸ’–

Test Result

1702610376861
The visual effect deviation obtained from the test weight you provided is significant. Is the weight file you provided the final weight file used in your paper?

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