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CASIA OpenIR

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Practical Blind Image Denoising via Swin-Conv-UNet and Data Synthesis 期刊论文
Machine Intelligence Research, 2023, 卷号: 20, 期号: 6, 页码: 822-836
作者:  Kai Zhang;  Yawei Li;  Jingyun Liang;  Jiezhang Cao;  Yulun Zhang;  Hao Tang;  Deng-Ping Fan;  Radu Timofte;  Luc Van Gool
Adobe PDF(7952Kb)  |  收藏  |  浏览/下载：0/0  |  提交时间：2024/04/23
Blind image denoising, real image denosing data synthesis, Transformer, image signal processing (ISP) pipeline  
ScoreMix: A Scalable Augmentation Strategy for Training GANs With Limited Data 期刊论文
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2023, 卷号: 45, 期号: 7, 页码: 8920-8935
作者:  Cao, Jie;  Luo, Mandi;  Yu, Junchi;  Yang, Ming-Hsuan;  He, Ran
收藏  |  浏览/下载：72/0  |  提交时间：2023/11/17
Generative adversarial networks  image synthesis  data augmentation  few-shot image-to-image translation  
Density-Aware Haze Image Synthesis by Self-Supervised Content-Style Disentanglement 期刊论文
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2022, 卷号: 32, 期号: 7, 页码: 4552-4572
作者:  Zhang, Chi;  Lin, Zihang;  Xu, Liheng;  Li, Zongliang;  Tang, Wei;  Liu, Yuehu;  Meng, Gaofeng;  Wang, Le;  Li, Li
收藏  |  浏览/下载：200/0  |  提交时间：2022/07/25
Feature extraction  Image synthesis  Scattering  Generative adversarial networks  Atmospheric modeling  Training  Testing  Haze synthesis  unsupervised image-to-image translation  self-supervised disentanglement  
Exploring Painting Synthesis with Diffusion Models 会议论文
, 线上会议, 2022.7.16
作者:  Yi,Da;  Guo,Chao;  Bai,Tianxiang
Adobe PDF(859Kb)  |  收藏  |  浏览/下载：150/48  |  提交时间：2022/06/20
painting synthesis  image generation  diffusion models  
A Unified Framework for Biphasic Facial Age Translation With Noisy-Semantic Guided Generative Adversarial Networks 期刊论文
IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY, 2022, 卷号: 17, 页码: 1513-1527
作者:  Sun, Muyi;  Wang, Jian;  Liu, Jian;  Li, Jianshu;  Chen, Tao;  Sun, Zhenan
收藏  |  浏览/下载：217/0  |  提交时间：2022/06/10
Semantics  Faces  Face recognition  Training  Noise measurement  Layout  Image synthesis  Biphasic facial age translation  noisy semantic injection  generative adversarial network  attention mechanism  feature disentanglement  
Joint Expression Synthesis and Representation Learning for Facial Expression Recognition 期刊论文
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2022, 卷号: 32, 期号: 3, 页码: 1681-1695
作者:  Zhang, Xi;  Zhang, Feifei;  Xu, Changsheng
收藏  |  浏览/下载：196/0  |  提交时间：2022/06/06
Face recognition  Task analysis  Generative adversarial networks  Image synthesis  Image recognition  Faces  Training  Facial expression recognition  facial image synthesis  generative adversarial network  representation learning  
Semantic Image Synthesis via Conditional Cycle-Generative Adversarial Networks 会议论文
, Beijing, China, August 20-24, 2018
作者:  Xiyan Liu;  Gaofeng Meng;  Shiming Xiang;  Chunhong Pan
Adobe PDF(4929Kb)  |  收藏  |  浏览/下载：93/40  |  提交时间：2022/01/24
Image synthesis  Text-to-image  Generative adversarial networks  
IsGAN: Identity-sensitive generative adversarial network for face photo-sketch synthesis 期刊论文
PATTERN RECOGNITION, 2021, 卷号: 119, 页码: 13
作者:  Yan, Lan;  Zheng, Wenbo;  Gou, Chao;  Wang, Fei-Yue
Adobe PDF(4465Kb)  |  收藏  |  浏览/下载：243/30  |  提交时间：2021/11/03
Face photo-sketch synthesis  Image-to-image translation  Generative adversarial networks  Convolutional neural network  Face recognition  
Collaborative Adversarial Networks for Joint Synthesis and Segmentation of X-ray Breast Mass Images 会议论文
, Shanghai, China, 2020-11-06
作者:  Shen, Tianyu;  Gou, Chao;  Wang, Jiangong;  Wang, Fei-Yue
Adobe PDF(1628Kb)  |  收藏  |  浏览/下载：185/48  |  提交时间：2021/06/16
generative adversarial network  medical image synthesis  mass segmentation  X-ray breast mass  
Mass Image Synthesis in Mammogram with Contextual Information Based on GANs 期刊论文
COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE, 2021, 卷号: 202, 期号: 2021, 页码: 9
作者:  Shen, Tianyu;  Hao, Kunkun;  Gou, Chao;  Wang, Fei-Yue
Adobe PDF(2029Kb)  |  收藏  |  浏览/下载：295/50  |  提交时间：2021/05/17
medical image synthesis  generative adversarial network  mammogram  mass detection