Manuel Fritsche | DeepAI

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research

∙ 11/18/2019

AIM 2019 Challenge on Real-World Image Super-Resolution: Methods and Results

This paper reviews the AIM 2019 challenge on real world super-resolution...

12 Andreas Lugmayr, et al. ∙

research

∙ 11/18/2019

Frequency Separation for Real-World Super-Resolution

Most of the recent literature on image super-resolution (SR) assumes the...

11 Manuel Fritsche, et al. ∙

research

∙ 03/19/2019

Efficient Smoothing of Dilated Convolutions for Image Segmentation

Dilated Convolutions have been shown to be highly useful for the task of...

0 Thomas Ziegler, et al. ∙

research

∙ 09/30/2018

Using State Predictions for Value Regularization in Curiosity Driven Deep Reinforcement Learning

Learning in sparse reward settings remains a challenge in Reinforcement ...

0 Gino Brunner, et al. ∙