22 citations · 35 across the 4 of their papers we have counts for
4 papers · 1 filter
FTGAN: A Fully-trained Generative Adversarial Networks for Text to Face Generation
Xiang Chen, Lingbo Qing, Xiaohai He +2
As a sub-domain of text-to-image synthesis, text-to-face generation has huge potentials in public safety domain. With lack of dataset, there are almost no related research focusing…
CT-image Super Resolution Using 3D Convolutional Neural Network
Yukai Wang, Qizhi Teng, Xiaohai He +2
Computed Tomography (CT) imaging technique is widely used in geological exploration, medical diagnosis and other fields. In practice, however, the resolution of CT image is usually…
DPW-SDNet: Dual Pixel-Wavelet Domain Deep CNNs for Soft Decoding of JPEG-Compressed Images
Honggang Chen, Xiaohai He, Linbo Qing +2
JPEG is one of the widely used lossy compression methods. JPEG-compressed images usually suffer from compression artifacts including blocking and blurring, especially at low bit-ra…
CISRDCNN: Super-resolution of compressed images using deep convolutional neural networks
Honggang Chen, Xiaohai He, Chao Ren +2
In recent years, much research has been conducted on image super-resolution (SR). To the best of our knowledge, however, few SR methods were concerned with compressed images. The S…