2 papers
cs.CV2020
PULSE: Self-Supervised Photo Upsampling via Latent Space Exploration of Generative Models
Sachit Menon, Alexandru Damian, Shijia Hu +2
The primary aim of single-image super-resolution is to construct high-resolution (HR) images from corresponding low-resolution (LR) inputs. In previous approaches, which have gener…
cs.CV2018
New Techniques for Preserving Global Structure and Denoising with Low Information Loss in Single-Image Super-Resolution
Yijie Bei, Alex Damian, Shijia Hu +3
This work identifies and addresses two important technical challenges in single-image super-resolution: (1) how to upsample an image without magnifying noise and (2) how to preserv…