15 citations · 16 across the 2 of their papers we have counts for
3 papers
cs.CV2021★ 15 cited
A relic sketch extraction framework based on detail-aware hierarchical deep network
Jinye Peng, Jiaxin Wang, Jun Wang +5
As the first step of the restoration process of painted relics, sketch extraction plays an important role in cultural research. However, sketch extraction suffers from serious dise…
cs.CV2020★ 1 cited
Automatic Image Labelling at Pixel Level
Xiang Zhang, Wei Zhang, Jinye Peng +1
The performance of deep networks for semantic image segmentation largely depends on the availability of large-scale training images which are labelled at the pixel level. Typically…
cs.CV2019
Super-Resolved Image Perceptual Quality Improvement via Multi-Feature Discriminators
Xuan Zhu, Yue Cheng, Jinye Peng +3
Generative adversarial network (GAN) for image super-resolution (SR) has attracted enormous interests in recent years. However, the GAN-based SR methods only use image discriminato…