Jinjin GU
Jinjin GU
School of Electrical and Information Engineering, The University of Sydney
Verified email at sydney.edu.au - Homepage
Title
Cited by
Cited by
Year
Esrgan: Enhanced super-resolution generative adversarial networks
X Wang, K Yu, S Wu, J Gu, Y Liu, C Dong, Y Qiao, C Change Loy
European Conference on Computer Vision (ECCV) Workshop, 2018, 63-79, 2018
8472018
Interpreting the latent space of gans for semantic face editing
Y Shen, J Gu, X Tang, B Zhou
Computer Vision and Pattern Recognition (CVPR), 2020, 9243-9252, 2019
1382019
Blind Super-Resolution With Iterative Kernel Correction
J Gu, H Lu, W Zuo, C Dong
Computer Vision and Pattern Recognition (CVPR), 2019, 1604-1613, 2019
852019
Suppressing Model Overfitting for Image Super-Resolution Networks
R Feng, J Gu, Y Qiao, C Dong
Computer Vision and Pattern Recognition (CVPR) Workshop, 2019, 1964-1973, 2019
59*2019
Image Processing Using Multi-Code GAN Prior
J Gu, Y Shen, B Zhou
Computer Vision and Pattern Recognition (CVPR), 2020, 3012-3021, 2019
352019
Single image reflection removal using deep encoder-decoder network
Z Chi, X Wu, X Shu, J Gu
arXiv preprint arXiv:1802.00094, 2018
152018
Trinity of pixel enhancement: a joint solution for demosaicking, denoising and super-resolution
G Qian, J Gu, JS Ren, C Dong, F Zhao, J Lin
arXiv preprint arXiv:1905.02538, 2019
142019
Pipal: a large-scale image quality assessment dataset for perceptual image restoration
G Jinjin, C Haoming, C Haoyu, Y Xiaoxing, JS Ren, D Chao
European Conference on Computer Vision (ECCV), 2020, 633-651, 2020
52020
Super Resolution Perception for Smart Meter Data
G Liu, J Gu, J Zhao, F Wen, G Liang
Information Sciences 526, 263-273, 2020
42020
Two-phase Hair Image Synthesis by Self-Enhancing Generative Model
H Qiu, C Wang, H Zhu, X Zhu, J Gu, X Han
Computer Graphics Forum 38 (7), 403-412, 2019
42019
Super Resolution Perception for Improving Data Completeness in Smart Grid State Estimation
G Liang, G Liu, J Zhao, Y Liu, J Gu, G Sun, Z Dong
Engineering 6 (7), 789-800, 2020
32020
Super-Resolution Perception for Industrial Sensor Data
J Gu, H Chen, G Liu, G Liang, X Wang, J Zhao
arXiv preprint arXiv:1809.06687, 2018
22018
Image Quality Assessment for Perceptual Image Restoration: A New Dataset, Benchmark and Metric
J Gu, H Cai, H Chen, X Ye, J Ren, C Dong
arXiv preprint arXiv:2011.15002, 2020
2020
Interpreting Super-Resolution Networks with Local Attribution Maps
J Gu, C Dong
Computer Vision and Pattern Recognition (CVPR), 2021, 2020
2020
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