40 citations · 96 across the 13 of their papers we have counts for
8 papers · 1 filter
Selective compression learning of latent representations for variable-rate image compression
Jooyoung Lee, Seyoon Jeong, Munchurl Kim
Recently, many neural network-based image compression methods have shown promising results superior to the existing tool-based conventional codecs. However, most of them are often…
Realistic Bokeh Effect Rendering on Mobile GPUs, Mobile AI & AIM 2022 challenge: Report
Andrey Ignatov, Radu Timofte, Jin Zhang +21
As mobile cameras with compact optics are unable to produce a strong bokeh effect, lots of interest is now devoted to deep learning-based solutions for this task. In this Mobile AI…
Pan-Sharpening with Color-Aware Perceptual Loss and Guided Re-Colorization
Juan Luis Gonzalez Bello, Soomin Seo, Munchurl Kim
We present a novel color-aware perceptual (CAP) loss for learning the task of pan-sharpening. Our CAP loss is designed to focus on the deep features of a pre-trained VGG network th…
An End-to-End Joint Learning Scheme of Image Compression and Quality Enhancement with Improved Entropy Minimization
Jooyoung Lee, Seunghyun Cho, Munchurl Kim
Recently, learned image compression methods have been actively studied. Among them, entropy-minimization based approaches have achieved superior results compared to conventional im…
Deep 3D-Zoom Net: Unsupervised Learning of Photo-Realistic 3D-Zoom
Juan Luis Gonzalez Bello, Munchurl Kim
The 3D-zoom operation is the positive translation of the camera in the Z-axis, perpendicular to the image plane. In contrast, the optical zoom changes the focal length and the digi…
JSI-GAN: GAN-Based Joint Super-Resolution and Inverse Tone-Mapping with Pixel-Wise Task-Specific Filters for UHD HDR Video
Soo Ye Kim, Jihyong Oh, Munchurl Kim
Joint learning of super-resolution (SR) and inverse tone-mapping (ITM) has been explored recently, to convert legacy low resolution (LR) standard dynamic range (SDR) videos to high…