Boosting attention fusion generative adversarial network for image denoising von Lyu, Qiongshuai, Guo, Min, Ma, Miao

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A diffusion probabilistic model for traditional Chinese landscape painting super-resolution von Lyu, Qiongshuai, Zhao, Na, Yang, Yu, Gong, Yuehong, Gao, Jingli

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DeGAN: Mixed noise removal via generative adversarial networks von Lyu, Qiongshuai, Guo, Min, Pei, Zhao

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Detection and classification of damaged wheat kernels based on progressive neural architecture search von Yang, Xiaojing, Guo, Min, Lyu, Qiongshuai, Ma, Miao

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DeCapsGAN: generative adversarial capsule network for image denoising von Lyu, Qiongshuai, Guo, Min, Ma, Miao, Mankin, Richard

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Pyramidal convolution attention generative adversarial network with data augmentation for image denoising von Lyu, Qiongshuai, Xia, Dongliang, Liu, Yaling, Yang, Xiaojing, Li, Rui

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External prior learning and internal mean sparse coding for image denoising von Lyu, Qiongshuai, Guo, Min, Ma, Miao, Mankin, Richard

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Video super-resolution reconstruction method based on multi-frame fusion optical flow von LYU QIONGSHUAI, GUO MIN, FANG RONGZHEN

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Chinese traditional landscape painting super-division method based on diffusion model von ZHAO NA, YANG YU, SHEN QI, LYU QIONGSHUAI, GAO JINGLI, GONG YUEHONG

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Feature fusion-based two-stage generative adversarial network digital mural restoration method von ZHAO NA, SHI RUOLIN, YANG YU, LI HUILI, SHEN QI, LYU QIONGSHUAI, GAO JINGLI, GONG YUEHONG

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Chinese landscape painting generation method based on mixed attention generative adversarial network model von ZHAO NA, YANG YU, SHEN QI, LYU JIAWEI, LYU QIONGSHUAI, SHAN DONGHONG, YU HENG, SUN ZHIYUAN

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An image mixed noise elimination method based on a noise learning neural network model von LYU QIONGSHUAI, PEI ZHAO, GUO MIN, PENG YALI, XIAO BING

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Shear wave processing-based Gaofen-3 SAR image riparian line detection method von PENG XUEJUN, ZHAO GUODONG, FAN CHUNYAN, LYU QIONGSHUAI, SUN ZENGGUO, LU JING, CHEN WEIRONG, WU JIE, LIU MING, SHAO JUN, HUANG SHUSONG, LYU ZHENG

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Twitter viewpoint classification-oriented sentiment-enriched word embedding learning method von PENG WEIGUO, LYU QIONGSHUAI, XIONG SHUFENG, LI WEIYAO, WANG KUIYI

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