中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
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期刊论文 [88]
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Generation of pore-space images using improved pyramid Wasserstein
期刊论文
OAI收割
ADVANCES IN WATER RESOURCES, 2024, 卷号: 190, 页码: 9
作者:
Zhu, Linqi
;
Bijeljic, Branko
;
Blunt, Martin J.
  |  
收藏
  |  
浏览/下载:8/0
  |  
提交时间:2024/11/18
Pore-space generation
Wasserstein generative adversarial networks
Feature statistics mixing regularization
Upscaling
Enlarge the Error Prediction Dataset in 3-D Printing: An Unsupervised Dental Crown Mesh Generator
期刊论文
OAI收割
IEEE TRANSACTIONS ON COMPUTATIONAL SOCIAL SYSTEMS, 2024, 页码: 12
作者:
Zhao, Meihua
;
Xiong, Gang
;
Fang, Qihang
;
Dong, Xisong
;
Wang, Fang
  |  
收藏
  |  
浏览/下载:8/0
  |  
提交时间:2024/09/09
Shape
Generative adversarial networks
Printing
Point cloud compression
Dentistry
Task analysis
Deformation
3-D printing
depth image refinement (DR)
displacement map (DM)
generative adversarial network (GAN)
mesh refinement
Introspective GAN: Learning to grow a GAN for incremental generation and classification
期刊论文
OAI收割
PATTERN RECOGNITION, 2024, 卷号: 151, 页码: 12
作者:
He, Chen
;
Wang, Ruiping
;
Shan, Shiguang
;
Chen, Xilin
  |  
收藏
  |  
浏览/下载:3/0
  |  
提交时间:2024/12/06
Incremental learning
Catastrophic forgetting
Generative Adversarial Networks
One-shot Face Reenactment with Dense Correspondence Estimation
期刊论文
OAI收割
Machine Intelligence Research, 2024, 卷号: 21, 期号: 5, 页码: 941-953
作者:
Yunfan Liu
;
Qi Li
;
Zhenan Sun
  |  
收藏
  |  
浏览/下载:11/0
  |  
提交时间:2024/09/12
Generative adversarial networks
face image manipulation
face image synthesis
face reenactment
3D morphable model
Robust Adversarial Watermark Defending Against GAN Synthesization Attack
期刊论文
OAI收割
IEEE SIGNAL PROCESSING LETTERS, 2024, 卷号: 31, 页码: 351-355
作者:
Xu, Shengwang
;
Qiao, Tong
;
Xu, Ming
;
Wang, Wei
;
Zheng, Ning
  |  
收藏
  |  
浏览/下载:13/0
  |  
提交时间:2024/07/03
Watermarking
Transform coding
Generative adversarial networks
Forgery
Image coding
Discrete cosine transforms
Decoding
GAN synthesized image
adversarial watermark
JPEG compression
Digital Surface Model Super-Resolution by Integrating High-Resolution Remote Sensing Imagery Using Generative Adversarial Networks
期刊论文
OAI收割
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2024, 卷号: 17, 页码: 10636-10647
作者:
Sun, Guihou
;
Chen, Yuehong
;
Huang, Jiamei
;
Ma, Qiang
;
Ge, Yong
  |  
收藏
  |  
浏览/下载:6/0
  |  
提交时间:2024/08/30
Feature extraction
Remote sensing
Generators
Spatial resolution
Surface topography
Digital surface model (DSM)
generative adversarial networks (GANs)
remote sensing imagery
slope loss
super-resolution (SR)
An Individual Motion-Driven Artificial Intelligence Method for Precipitation Forecasting Using Radar Image Sequencing
期刊论文
OAI收割
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2024, 卷号: 62, 页码: 16
作者:
Yang, Nan
;
Li, Xiaofeng
  |  
收藏
  |  
浏览/下载:0/0
  |  
提交时间:2024/12/20
Precipitation
Forecasting
Artificial intelligence
Predictive models
Training
Accuracy
Convolution
Artificial intelligence (AI)
generative adversarial networks (GANs)
precipitation forecasting
GAN-Based Facial Attribute Manipulation
期刊论文
OAI收割
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2023, 卷号: 45, 期号: 12, 页码: 14590-14610
作者:
Liu, Yunfan
;
Li, Qi
;
Deng, Qiyao
;
Sun, Zhenan
;
Yang, Ming-Hsuan
  |  
收藏
  |  
浏览/下载:18/0
  |  
提交时间:2024/02/22
Generative adversarial networks
image translation
facial attribute manipulation
ScoreMix: A Scalable Augmentation Strategy for Training GANs With Limited Data
期刊论文
OAI收割
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:19/0
  |  
提交时间:2023/11/17
Generative adversarial networks
image synthesis
data augmentation
few-shot image-to-image translation
PLDGAN: portrait line drawing generation with prior knowledge and conditioning target
期刊论文
OAI收割
VISUAL COMPUTER, 2023, 页码: 12
作者:
Li, Sifei
  |  
收藏
  |  
浏览/下载:11/0
  |  
提交时间:2023/11/17
Portrait line drawings
Artistic stylization
Conditional generative adversarial networks