Search Results for author: Xinpu Deng

Found 4 papers, 2 papers with code

Deep Video Super-Resolution using HR Optical Flow Estimation

2 code implementations6 Jan 2020 Longguang Wang, Yulan Guo, Li Liu, Zaiping Lin, Xinpu Deng, Wei An

The key challenge for video SR lies in the effective exploitation of temporal dependency between consecutive frames.

Motion Compensation Optical Flow Estimation +1

Learning for Video Super-Resolution through HR Optical Flow Estimation

2 code implementations23 Sep 2018 Longguang Wang, Yulan Guo, Zaiping Lin, Xinpu Deng, Wei An

Extensive experiments demonstrate that HR optical flows provide more accurate correspondences than their LR counterparts and improve both accuracy and consistency performance.

Motion Compensation Optical Flow Estimation +1

Fast single image super-resolution based on sigmoid transformation

no code implementations23 Aug 2017 Longguang Wang, Zaiping Lin, Jinyan Gao, Xinpu Deng, Wei An

Single image super-resolution aims to generate a high-resolution image from a single low-resolution image, which is of great significance in extensive applications.

Image Super-Resolution

Multi-frame image super-resolution with fast upscaling technique

no code implementations20 Jun 2017 Longguang Wang, Zaiping Lin, Xinpu Deng, Wei An

In this paper, we propose an end-to-end fast upscaling technique to replace the interpolation operator, design upscaling filters in LR space for periodic sub-locations respectively and shuffle the filter results to derive the final reconstruction errors in HR space.

Image Super-Resolution

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