most citedDIPNet: Efficiency Distillation and Iterative Pruning for Image Super-Resolution

3 citations · 5 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV20231 cited

Self-Supervised Scene Dynamic Recovery from Rolling Shutter Images and Events

Yangguang Wang, Xiang Zhang, Mingyuan Lin +4

Scene Dynamic Recovery (SDR) by inverting distorted Rolling Shutter (RS) images to an undistorted high frame-rate Global Shutter (GS) video is a severely ill-posed problem due to t…

cs.CV20233 cited

DIPNet: Efficiency Distillation and Iterative Pruning for Image Super-Resolution

Lei Yu, Xinpeng Li, Youwei Li +4

Efficient deep learning-based approaches have achieved remarkable performance in single image super-resolution. However, recent studies on efficient super-resolution have mainly fo…

cs.CV2023

Recovering Continuous Scene Dynamics from A Single Blurry Image with Events

Zhangyi Cheng, Xiang Zhang, Lei Yu +3

This paper aims at demystifying a single motion-blurred image with events and revealing temporally continuous scene dynamics encrypted behind motion blurs. To achieve this end, an…

cs.CV2023

Learning to Super-Resolve Blurry Images with Events

Lei Yu, Bishan Wang, Xiang Zhang +4

Super-Resolution from a single motion Blurred image (SRB) is a severely ill-posed problem due to the joint degradation of motion blurs and low spatial resolution. In this paper, we…

eess.IV20221 cited

Fast Nearest Convolution for Real-Time Efficient Image Super-Resolution

Ziwei Luo, Youwei Li, Lei Yu +4

Deep learning-based single image super-resolution (SISR) approaches have drawn much attention and achieved remarkable success on modern advanced GPUs. However, most state-of-the-ar…