Li-Wen Wang

TL;DR: A novel Deep Lightening Network (DLN) that benefits from the recent development of Convolutional Neural Networks (CNNs) is proposed that outperforms other methods under both objective and subjective metrics.

TL;DR: The 3rd NTIRE challenge on single-image super-resolution (restoration of rich details in a low-resolution image) is reviewed with a focus on proposed solutions and results and the state-of-the-art in real-world single image super- resolution.

TL;DR: The principal takeaway from VerSe: the performance of an algorithm in labelling and segmenting a spine scan hinges on its ability to correctly identify vertebrae in cases of rare anatomical variations.

TL;DR: Zhang et al. as mentioned in this paper proposed an Attention based Back Projection Network (ABPN) for image super-resolution, which uses spatial attention to learn the cross-correlation across features at different layers.

TL;DR: The AIM 2020 challenge on virtual image relighting and illumination estimation as discussed by the authors focused on one-to-one relighting, where the objective was to relight an input photo of a scene with a different color temperature and illuminant orientation.