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Found 11 papers, 4 papers with code
SESR: Single Image Super Resolution with Recursive Squeeze and Excitation Networks
Single image super resolution is a very important computer vision task, with a wide range of applications.
Ranked #34 on
Image Super-Resolution
on BSD100 - 4x upscaling
Polynomial Regression As an Alternative to Neural Nets
Despite the success of neural networks (NNs), there is still a concern among many over their "black box" nature.
Triple Attention Mixed Link Network for Single Image Super Resolution
Single image super resolution is of great importance as a low-level computer vision task.
Multi-scale Dynamic Feature Encoding Network for Image Demoireing
The prevalence of digital sensors, such as digital cameras and mobile phones, simplifies the acquisition of photos.
AIM 2019 Challenge on Image Demoireing: Methods and Results
A new dataset, called LCDMoire was created for this challenge, and consists of 10, 200 synthetically generated image pairs (moire and clean ground truth).
NTIRE 2020 Challenge on Image Demoireing: Methods and Results
Track 1 targeted the single image demoireing problem, which seeks to remove moire patterns from a single image.
Fast and Light-Weight Network for Single Frame Structured Illumination Microscopy Super-Resolution
In our SF-SIM, we propose a noise estimator which can effectively suppress the noise in the image and enable our method to work under the low light and short exposure environment, without the need for stacking multiple frames for non-local denoising.
Intelligent Painter: Picture Composition With Resampling Diffusion Model
Have you ever thought that you can be an intelligent painter?
xASTNN: Improved Code Representations for Industrial Practice
The proposed xASTNN has three advantages.
Corporate Credit Rating: A Survey
Corporate credit rating (CCR) plays a very important role in the process of contemporary economic and social development.
Zero-Shot Image Super-Resolution with Depth Guided Internal Degradation Learning
In the past few years, we have witnessed the great progress of image super-resolution (SR) thanks to the power of deep learning.
