114 citations · 120 across the 3 of their papers we have counts for
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cs.CV2021★ 114 cited
NeRF-SR: High-Quality Neural Radiance Fields using Supersampling
Chen Wang, Xian Wu, Yuan-Chen Guo +3
We present NeRF-SR, a solution for high-resolution (HR) novel view synthesis with mostly low-resolution (LR) inputs. Our method is built upon Neural Radiance Fields (NeRF) that pre…
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★ 2 cited
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…