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Enhanced Deep Residual Networks for Single Image Super-Resolution
TLDR
This paper develops an enhanced deep super-resolution network (EDSR) with performance exceeding those of current state-of-the-art SR methods, and proposes a new multi-scale deepsuper-resolution system (MDSR) and training method, which can reconstruct high-resolution images of different upscaling factors in a single model. Expand
NTIRE 2017 Challenge on Single Image Super-Resolution: Methods and Results
TLDR
This paper reviews the first challenge on single image super-resolution (restoration of rich details in an low resolution image) with focus on proposed solutions and results and gauges the state-of-the-art in single imagesuper-resolution. Expand
NTIRE 2019 Challenge on Video Deblurring and Super-Resolution: Dataset and Study
TLDR
It is found that the NTIRE 2019 challenges push the state-of-the-art in video deblurring and super-resolution, reaching compelling performance on the newly proposed REDS dataset. Expand
Recurrent Neural Networks With Intra-Frame Iterations for Video Deblurring
TLDR
This work aims to improve the accuracy of recurrent models by adapting the hidden states transferred from past frames to the frame being processed so that the relations between video frames could be better used. Expand
NTIRE 2021 Challenge on Image Deblurring
TLDR
The winning methods demonstrate the state-of-the-art performance on the image deblurring task with the jointly combined artifacts. Expand
Clustering Convolutional Kernels to Compress Deep Neural Networks
TLDR
A novel method to compress CNNs by reconstructing the network from a small set of spatial convolution kernels using k-means clustering, which outperforms its uncompressed counterpart at ILSVRC2012 classification task with over 10x compression ratio. Expand
NTIRE 2019 Challenge on Video Super-Resolution: Methods and Results
TLDR
This paper reviews the first NTIRE challenge on video super-resolution (restoration of rich details in low-resolution video frames) with focus on proposed solutions and results and gauge the state-of-the-art in videosuper-resolution. Expand
NTIRE 2020 Challenge on Image and Video Deblurring
TLDR
This challenge presents the evaluation results from 3 competition tracks as well as the proposed solutions, and the winning methods demonstrate the state-of-the-art performance on image and video deblurring tasks. Expand
AIM 2020 Challenge on Video Temporal Super-Resolution
TLDR
This paper reports the second AIM challenge on Video Temporal Super-Resolution (VTSR), a.k.a. frame interpolation, with a focus on the proposed solutions, results, and analysis, and proposes the enhanced quadratic video interpolation method. Expand
NTIRE 2019 Challenge on Video Deblurring: Methods and Results
This paper reviews the first NTIRE challenge on video deblurring (restoration of rich details and high frequency components from blurred video frames) with focus on the proposed solutions andExpand
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