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While real-world anime super-resolution (SR) has gained increasing attention in the SR community, existing methods still adopt techniques from the photorealistic domain.
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Generative adversarial nets
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Diederik P Kingma and Jimmy Ba · 2014
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Very deep convolutional networks for large-scale image recognition
Karen Simonyan and Andrew Zisserman · 2014
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Image super-resolution using deep convolutional networks
Chao Dong, Chen Change Loy, Kaiming He, and Xiaoou Tang · 2015
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Identity mappings in deep residual networks
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun · 2016
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Perceptual losses for real-time style transfer and super-resolution
Justin Johnson, Alexandre Alahi, and Li Fei-Fei · 2016
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Research on the webp image format
Zhanjun Si and Ke Shen · 2016
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Manga vectorization and manipulation with procedural simple screentone
Chih-Yuan Yao, Shih-Hsuan Hung, Guo-Wei Li, I-Yu Chen, Reza Adhitya, and Yu-Chi Lai · 2016
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Ntire 2017 challenge on single image super-resolution: Dataset and study
Eirikur Agustsson and Radu Timofte · 2017
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Image-to-image translation with conditional adversarial networks
Phillip Isola, Jun-Yan Zhu, Tinghui Zhou, and Alexei A Efros · 2017
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Ntire 2017 challenge on single image super-resolution: Methods and results
Radu Timofte, Eirikur Agustsson, Luc Van Gool, Ming-Hsuan Yang, and Lei Zhang · 2017
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User-guided deep anime line art colorization with conditional adversarial networks
Yuanzheng Ci, Xinzhu Ma, Zhihui Wang, Haojie Li, and Zhongxuan Luo · 2018
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Spectral normalization for generative adversarial networks
Takeru Miyato, Toshiki Kataoka, Masanori Koyama, and Yuichi Yoshida · 2018
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Unsupervised image super-resolution using cycle-in-cycle generative adversarial networks
Yuan Yuan, Siyuan Liu, Jiawei Zhang, Yongbing Zhang, Chao Dong, and Liang Lin · 2018
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Danbooru2018 pretrained resnet models for pytorch
Matthew Baas · 2019
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Danbooru2019: A large-scale crowdsourced and tagged anime illustration dataset
Gwern Branwen and Aaron Gokaslan · 2019
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Enhanced deep animation video interpolation
Wang Shen, Cheng Ming, Wenbo Bao, Guangtao Zhai, Li Chenn, and Zhiyong Gao · 2022
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Animerun: 2d animation visual correspondence from open source 3d movies
Li Siyao, Yuhang Li, Bo Li, Chao Dong, Ziwei Liu, and Chen Change Loy · 2022
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Animesr: Learning real-world super-resolution models for animation videos
Yanze Wu, Xintao Wang, Gen Li, and Ying Shan · 2022
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A transformer-based model for super-resolution of anime image
Shizhuo Xu, Vibekananda Dutta, Xin He, and Takafumi Matsumaru · 2022
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Maniqa: Multi-dimension attention network for no-reference image quality assessment
Sidi Yang, Tianhe Wu, Shuwei Shi, Shanshan Lao, Yuan Gong, Mingdeng Cao, Jiahao Wang, and Yujiu Yang · 2022
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Paintstorch: a user-guided anime line art colorization tool with double generator conditional adversarial network
Yliess Hati, Gregor Jouet, Francis Rousseaux, and Clément Duhart · 2019
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Automatic colorization of anime style illustrations using a two-stage generator
Yeongseop Lee and Seongjin Lee · 2020
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Blindly assess image quality in the wild guided by a self-adaptive hyper network
Shaolin Su, Qingsen Yan, Yu Zhu, Cheng Zhang, Xin Ge, Jinqiu Sun, and Yanning Zhang · 2020
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Space-time video super-resolution using temporal profiles
Zeyu Xiao, Zhiwei Xiong, Xueyang Fu, Dong Liu, and Zheng-Jun Zha · 2020
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Kelvin CK Chan, Xintao Wang, Ke Yu, Chao Dong, and Chen Change Loy · 2021
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A technical overview of av1
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Cartoon image processing: A survey
Yang Zhao, Diya Ren, Yuan Chen, Wei Jia, Ronggang Wang, and Xiaoping Liu · 2022
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Animediffusion: Anime face line drawing colorization via diffusion models
Yu Cao, Xiangqiao Meng, PY Mok, Xueting Liu, Tong-Yee Lee, and Ping Li · 2023
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Hernan Carrillo, Michaël Clément, Aurélie Bugeau, and Edgar Simo-Serra · 2023
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Panic-3d: Stylized single-view 3d reconstruction from portraits of anime characters
Shuhong Chen, Kevin Zhang, Yichun Shi, Heng Wang, Yiheng Zhu, Guoxian Song, Sizhe An, Janus Kristjansson, Xiao Yang, and Matthias Zwicker · 2023
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Scenimefy: Learning to craft anime scene via semi-supervised image-to-image translation
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Efficient and explicit modelling of image hierarchies for image restoration
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Deep geometrized cartoon line inbetweening
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Learning data-driven vector-quantized degradation model for animation video super-resolution
Zixi Tuo, Huan Yang, Jianlong Fu, Yujie Dun, and Xueming Qian · 2023
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Adding conditional control to text-to-image diffusion models
Lvmin Zhang, Anyi Rao, and Maneesh Agrawala · 2023
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Learning inclusion matching for animation paint bucket colorization, 2024
Yuekun Dai, Shangchen Zhou, Qinyue Li, Chongyi Li, and Chen Change Loy · 2024
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Vcisr: Blind single image super-resolution with video compression synthetic data
Boyang Wang, Bowen Liu, Shiyu Liu, and Fengyu Yang · 2024
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