Search Results for author: Manri Cheon

Found 8 papers, 5 papers with code

Perceptual Image Quality Assessment with Transformers

1 code implementation30 Apr 2021 Manri Cheon, Sung-Jun Yoon, Byungyeon Kang, Junwoo Lee

In this paper, we propose an image quality transformer (IQT) that successfully applies a transformer architecture to a perceptual full-reference image quality assessment (IQA) task.

Image Quality Assessment

Texture Transform Attention for Realistic Image Inpainting

no code implementations8 Dec 2020 Yejin Kim, Manri Cheon, Junwoo Lee

Texture Transform Attention is used to create a new reassembled texture map using fine textures and coarse semantics that can efficiently transfer texture information as a result.

Image Inpainting

Lightweight and Efficient Image Super-Resolution with Block State-based Recursive Network

1 code implementation30 Nov 2018 Jun-Ho Choi, Jun-Hyuk Kim, Manri Cheon, Jong-Seok Lee

Recently, several deep learning-based image super-resolution methods have been developed by stacking massive numbers of layers.

Image Super-Resolution

MAMNet: Multi-path Adaptive Modulation Network for Image Super-Resolution

3 code implementations29 Nov 2018 Jun-Hyuk Kim, Jun-Ho Choi, Manri Cheon, Jong-Seok Lee

Specifically, we propose a multi-path adaptive modulation block (MAMB), which is a lightweight yet effective residual block that adaptively modulates residual feature responses by fully exploiting their information via three paths.

Image Super-Resolution

Generative adversarial network-based image super-resolution using perceptual content losses

1 code implementation13 Sep 2018 Manri Cheon, Jun-Hyuk Kim, Jun-Ho Choi, Jong-Seok Lee

In this paper, we propose a deep generative adversarial network for super-resolution considering the trade-off between perception and distortion.

Generative Adversarial Network Image Super-Resolution

Deep Learning-based Image Super-Resolution Considering Quantitative and Perceptual Quality

1 code implementation13 Sep 2018 Jun-Ho Choi, Jun-Hyuk Kim, Manri Cheon, Jong-Seok Lee

Recently, it has been shown that in super-resolution, there exists a tradeoff relationship between the quantitative and perceptual quality of super-resolved images, which correspond to the similarity to the ground-truth images and the naturalness, respectively.

Image Super-Resolution

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