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Found 5 papers, 0 papers with code
A Spatio-temporal Aligned SUNet Model for Low-light Video Enhancement
Distortions caused by low-light conditions are not only visually unpleasant but also degrade the performance of computer vision tasks.
BVI-Lowlight: Fully Registered Benchmark Dataset for Low-Light Video Enhancement
Low-light videos often exhibit spatiotemporal incoherent noise, leading to poor visibility and compromised performance across various computer vision applications.
Wavelet-based Topological Loss for Low-Light Image Denoising
Despite extensive research conducted in the field of image denoising, many algorithms still heavily depend on supervised learning and their effectiveness primarily relies on the quality and diversity of training data.
A Topological Loss Function: Image Denoising on a Low-Light Dataset
The loss function is a combination of $\ell_1$ or $\ell_2$ losses with the new persistence-based topological loss.
Encoding in the Dark Grand Challenge: An Overview
In this paper, we present an overview of the proposed challenge, and test state-of-the-art methods that will be part of the benchmark methods at the stage of the participants' deliverable assessment.
