Chen Chen, Qifeng Chen, Jia Xu, and Vladlen Koltun, “Learning to See in the Dark”, in CVPR, 2018.
The solution proposed in Learning to See in the Dark is compelling, along with the implementation linked above. However, the implementation is flawed, making it difficult for other parties to use. Given that we find the results compelling, we aim to improve the provided implementation. We are doing this with the goal of making it easier for more people to use this solution, which could potentially help improve this implementation. There are high requirements for both computational power and memory space in order to train the model in the provided implementation. Our goal is to make the training more memory efficient so that more people may come along and train their own models. Along with this, we also aim to develop a basic web application so that users may upload their own images and see how this solution performs. Ultimately, our goal is to enable the potential of this solution to truly be explored.