research
∙
12/30/2019
A Hybrid Architecture of Jointly Learning Image Compression and Quality Enhancement with Improved Entropy Minimization
Recently, learned image compression methods have been actively studied. ...
share
research
∙
12/16/2019
FISR: Deep Joint Frame Interpolation and Super-Resolution with A Multi-scale Temporal Loss
Super-resolution (SR) has been widely used to convert low-resolution leg...
research
∙
10/02/2019
Deep 3D Pan via adaptive "t-shaped" convolutions with global and local adaptive dilations
Recent advances in deep learning have shown promising results in many lo...
research
∙
09/20/2019
Deep 3D-Zoom Net: Unsupervised Learning of Photo-Realistic 3D-Zoom
The 3D-zoom operation is the positive translation of the camera in the Z...
research
∙
09/10/2019
JSI-GAN: GAN-Based Joint Super-Resolution and Inverse Tone-Mapping with Pixel-Wise Task-Specific Filters for UHD HDR Video
Joint learning of super-resolution (SR) and inverse tone-mapping (ITM) h...
research
∙
06/13/2019
S3: A Spectral-Spatial Structure Loss for Pan-Sharpening Networks
Recently, many deep-learning-based pan-sharpening methods have been prop...
research
∙
04/25/2019
Deep SR-ITM: Joint Learning of Super-resolution and Inverse Tone-Mapping for 4K UHD HDR Applications
Recent modern displays are now able to render high dynamic range (HDR), ...
research
∙
04/05/2019
Deep Predictive Video Compression with Bi-directional Prediction
Recently, deep image compression has shown a big progress in terms of co...
research
∙
03/30/2019
A HVS-inspired Attention Map to Improve CNN-based Perceptual Losses for Image Restoration
Deep Convolutional Neural Network (CNN) features have been demonstrated ...
research
∙
03/20/2019
A Novel Monocular Disparity Estimation Network with Domain Transformation and Ambiguity Learning
Convolutional neural networks (CNN) have shown state-of-the-art results ...
research
∙
02/14/2019
Deep HVS-IQA Net: Human Visual System Inspired Deep Image Quality Assessment Networks
In image quality enhancement processing, it is the most important to pre...
research
∙
12/21/2018
3DSRnet: Video Super-resolution using 3D Convolutional Neural Networks
In video super-resolution, the spatio-temporal coherence between, and am...
research
∙
12/02/2018
A Psychovisual Analysis on Deep CNN Features for Perceptual Metrics and A Novel Psychovisual Loss
The efficacy of Deep Convolutional Neural Network (CNN) features as perc...
research
∙
10/07/2018
Finding Correspondences for Optical Flow and Disparity Estimations using a Sub-pixel Convolution-based Encoder-Decoder Network
Deep convolutional neural networks (DCNN) have recently shown promising ...
research
∙
10/03/2018
PIRM Challenge on Perceptual Image Enhancement on Smartphones: Report
This paper reviews the first challenge on efficient perceptual image enh...
research
∙
11/07/2017