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This project is associated with our survey paper, which comprehensively reviews the advancement of colorization technology in the past two decades using our proposed taxonomy.

Computer-aided Colorization State-of-the-science: A Survey <br> Yu Cao, Xin Duan, Xiangqiao Meng, P. Y. Mok, Ping Li, and Tong-Yee Lee <br> This work is submitted.

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Related Surveys

Image Colorization: A Survey and Dataset <br> Saeed Anwar, Muhammad Tahir, Chongyi Li, Ajmal Mian, Fahad Shahbaz Khan, and Abdul Wahab Muzaffar <br> 2020 Arxiv [Paper]

Deep Learning for Image Colorization: Current and Future Prospects <br> Shanshan Huang, Xin Jin, Qian Jiang, and Li Liu <br> 2022 Engineering Applications of Artificial Intelligence [Paper]

A Review of Image and Video Colorization: From Analogies to Deep Learning <br> Shu-Yu Chen, Jia-Qi Zhang, You-You Zhao, Paul L. Rosin, Yu-Kun Lai, and Lin Gao <br> 2022 Visual Informatics [Paper]

Conditional Colorization

Reference-based Methods

Transferring Color to Greyscale Images <br> Tomihisa Welsh, Michael Ashikhmin, and Klaus Mueller <br> 2002 ACM Transactions on Graphics [Paper]

Local Color Transfer via Probabilistic Segmentation by Expectation-Maximization <br> Yu-Wing Tai, Jiaya Jia, and Chi-Keung Tang <br> 2005 IEEE Conference on Computer Vision and Pattern Recognition [Paper]

Colorization by Example <br> Revital Ironi, Daniel Cohen-Or, and Dani Lischinski <br> 2005 Eurographics Symposium on Rendering [Paper]

Automatic Image Colorization via Multimodal Predictions <br> Guillaume Charpiat, Matthias Hofmann, and Bernhard Schölkopf <br> 2008 European Conference on Computer Vision [Paper]

Intrinsic Colorization <br> Xiaopei Liu, Liang Wan, Yingge Qu, Tien-Tsin Wong, Stephen Lin, Chi-Sing Leung, and Pheng-Ann Heng <br> 2008 ACM Transactions on Graphics [Paper]

Automatic colorization of grayscale images using multiple images on the Web <br> Yuji Morimoto, Yuichi Taguchi, and Takeshi Naemura <br> 2009 ACM SIGGRAPH Talks [Paper]

Semantic Colorization with Internet Images <br> Alex Yong-Sang Chia, Shaojie Zhuo, Raj Kumar Gupta, Yu-Wing Tai, Siu-Yeung Cho, Ping Tan, and Stephen Lin <br> 2011 ACM Transactions on Graphics [Paper]

Image Colorization Using Similar Images <br> Raj Kumar Gupta, Alex Yong-Sang Chia, Deepu Rajan, Ee Sin Ng, and Huang Zhiyong <br> 2012 ACM International Conference on Multimedia [Paper]

Variational Exemplar-Based Image Colorization <br> Aurélie Bugeau, Vinh-Thong Ta, and Nicolas Papadakis <br> 2014 IEEE Transactions on Image Processing [Paper]

Twin Deep Convolutional Neural Network for Example-based Image Colorization <br> Domonkos Varga, and Tamás Szirányi <br> 2017 Computer Analysis of Images and Patterns [Paper]

Comicolorization: Semi-Automatic Manga Colorization <br> Chie Furusawa, Kazuyuki Hiroshiba, Keisuke Ogaki, and Yuri Odagiri <br> 2017 ACM SIGGRAPH Asia Technical Briefs [Paper]

TextureGAN: Controlling Deep Image Synthesis with Texture Patches <br> Wenqi Xian, Patsorn Sangkloy, Varun Agrawal, Amit Raj, Jingwan Lu, Chen Fang, Fisher Yu, and James Hays <br> 2018 IEEE Conference on Computer Vision and Pattern Recognition [Paper]

Deep Exemplar-based Colorization <br> Mingming He, Dongdong Chen, Jing Liao, Pedro V. Sander, and Lu Yuan <br> 2018 ACM Transactions on Graphics [Paper]

Example-Based Colourization Via Dense Encoding Pyramids <br> Chufeng Xiao, Chu Han, Zhuming Zhang, Jing Qin, Tien-Tsin Wong, Guoqiang Han, and Shengfeng He <br> 2019 Computer Graphics Forum [Paper]

Automatic Example-Based Image Colorization Using Location-Aware Cross-Scale Matching <br> Bo Li, Yu-Kun Lai, Matthew John, and Paul L. Rosin <br> 2019 IEEE Transactions on Image Processing [Paper]

Colorization of Line Drawings with Empty Pupils <br> K. Akita, Y. Morimoto, and R. Tsuruno <br> 2020 Computer Graphics Forum [Paper]

Reference-Based Sketch Image Colorization using Augmented-Self Reference and Dense Semantic Correspondence <br> Junsoo Lee, Eungyeup Kim, Yunsung Lee, Dongjun Kim, Jaehyuk Chang, and Jaegul Choo <br> 2020 IEEE Conference on Computer Vision and Pattern Recognition [Paper]

Stylization-Based Architecture for Fast Deep Exemplar Colorization <br> Zhongyou Xu, Tingting Wang, Faming Fang, Yun Sheng, and Guixu Zhang <br> 2020 IEEE Conference on Computer Vision and Pattern Recognition [Paper]

Deep-Eyes: Fully Automatic Anime Character Colorization with Painting of Details on Empty Pupils <br> K. Akita, Y. Morimoto, and R. Tsuruno <br> 2020 Eurographics [Paper]

Gray2ColorNet: Transfer More Colors from Reference Image <br> Peng Lu, Jinbei Yu, Xujun Peng, Zhaoran Zhao, and Xiaojie Wang <br> 2020 ACM International Conference on Multimedia [Paper]

Manga Filling Style Conversion with Screentone Variational Autoencoder <br> Minshan Xie, Chengze Li, Xueting Liu, and Tien-Tsin Wong <br> 2020 ACM Transactions on Graphics [Paper]

A Superpixel-Based Variational Model for Image Colorization <br> Faming Fang, Tingting Wang, Tieyong Zeng, and Guixu Zhang <br> 2020 IEEE Transactions on Visualization and Computer Graphics [Paper]

Line Art Colorization Based on Explicit Region Segmentation <br> Ruizhi Cao, Haoran Mo, and Chengying Gao <br> 2021 Computer Graphics Forum [Paper]

Color2Embed: Fast Exemplar-Based Image Colorization using Color Embeddings <br> Hengyuan Zhao, Wenhao Wu, Yihao Liu, and Dongliang He <br> 2021 Arxiv [Paper]

Yes, “Attention Is All You Need”, for Exemplar based Colorization <br> Wang Yin, Peng Lu, Zhaoran Zhao, and Xujun Peng <br> 2021 ACM International Conference on Multimedia [Paper]

Globally and Locally Semantic Colorization via Exemplar-Based Broad-GAN <br> Haoxuan Li, Bin Sheng, Ping Li, Riaz Ali, and C. L. Philip Chen <br> 2021 IEEE Transactions on Image Processing [Paper]

Super-Attention for Exemplar-Based Image Colorization <br> Hernan Carrillo, Michaël Clément, and Aurélie Bugeau <br> 2022 Asian Conference on Computer Vision [Paper]

Reference-Guided Structure-Aware Deep Sketch Colorization for Cartoons <br> Xueting Liu, Wenliang Wu, Chengze Li, Yifan Li, and Huisi Wu <br> 2022 Computational Visual Media [Paper]

Eliminating Gradient Conflict in Reference-based Line-Art Colorization <br> Zekun Li, Zhengyang Geng, Zhao Kang, Wenyu Chen, and Yibo Yang <br> 2022 European Conference on Computer Vision [Paper]

Semantic-Sparse Colorization Network for Deep Exemplar-based Colorization <br> Yunpeng Bai, Chao Dong, Zenghao Chai, Andong Wang, Zhengzhuo Xu, and Chun Yuan <br> 2022 European Conference on Computer Vision [Paper]

Active Colorization for Cartoon Line Drawings <br> Shu-Yu Chen, Jia-Qi Zhang, Lin Gao, Yue He, Shihong Xia, Min Shi, and Fang-Lue Zhang <br> 2022 IEEE Transactions on Visualization and Computer Graphics [Paper]

Attention-Aware Anime Line Drawing Colorization <br> Yu Cao, Hao Tian, and P. Y. Mok <br> 2023 IEEE International Conference on Multimedia & Expo [Paper]

Self-driven Dual-path Learning for Reference-based Line Art Colorization under Limited Data <br> Shukai Wu, Xiao Yan, Weiming Liu, Shuchang Xu, and Sanyuan Zhang <br> 2023 IEEE Transactions on Circuits and Systems for Video Technology [Paper]

Unsupervised Deep Exemplar Colorization via Pyramid Dual Non-Local Attention <br> Hanzhang Wang, Deming Zhai, Xianming Liu, Junjun Jiang, and Wen Gao <br> 2023 IEEE Transactions on Image Processing [Paper]

Pik-Fix: Restoring and Colorizing Old Photos <br> Runsheng Xu, Zhengzhong Tu, Yuanqi Du, Xiaoyu Dong, Jinlong Li, Zibo Meng, Jiaqi Ma, Alan Bovik, and Hongkai Yu <br> 2023 IEEE Winter Conference on Applications of Computer Vision [Paper]

AnimeDiffusion: Anime Diffusion Colorization <br> Yu Cao, Xiangqiao Meng, P. Y. Mok, Tong-Yee Lee, Xueting Liu, and Ping Li <br> 2024 IEEE Transactions on Visualization and Computer Graphics [Paper]

Scribble-hint Methods

Colorization using Optimization <br> Anat Levin, Dani Lischinski, and Yair Weiss <br> 2004 ACM Transactions on Graphics [Paper]

An Adaptive Edge Detection Based Colorization Algorithm and Its Applications <br> Yi-Chin Huang, Yi-Shin Tung, Jun-Cheng Chen, Sung-Wen Wang, and Ja-Ling Wu <br> 2005 ACM International Conference on Multimedia [Paper]

Fast Image and Video Colorization Using Chrominance Blending <br> Liron Yatziv, and Guillermo Sapiro <br> 2006 IEEE Transactions on Image Processing [Paper]

Manga Colorization <br> Yingge Qu, Tien-Tsin Wong, and Pheng-Ann Heng <br> 2006 ACM Transactions on Graphics [Paper]

Natural Image Colorization <br> Qing Luan, Fang Wen, Daniel Cohen-Or, Lin Liang, Ying-Qing Xu, and Heung-Yeung Shum <br> 2007 Eurographics Symposium on Rendering [Paper]

LazyBrush: Flexible Painting Tool for Hand-drawn Cartoons <br> Daniel Sýkora, John Dingliana, and Steven Collins <br> 2009 Computer Graphics Forum [Paper]

Scribbler: Controlling Deep Image Synthesis with Sketch and Color <br> Patsorn Sangkloy, Jingwan Lu, Chen Fang, Fisher Yu, and James Hays <br> 2017 IEEE Conference on Computer Vision and Pattern Recognition [Paper]

Auto-painter: Cartoon Image Generation from Sketch by Using Conditional Generative Adversarial Networks <br> Yifan Liu, Zengchang Qin, Zhenbo Luo, and Hua Wang <br> 2017 Neurocomputing [Paper]

Outline Colorization through Tandem Adversarial Networks <br> Kevin Frans <br> 2017 Arxiv [Paper]

Real-Time User-Guided Image Colorization with Learned Deep Priors <br> Richard Zhang, Jun-Yan Zhu, Phillip Isola, Xinyang Geng, Angela S. Lin, Tianhe Yu, and Alexei A. Efros <br> 2017 ACM Transactions on Graphics [Paper]

User-Guided Deep Anime Line Art Colorization with Conditional Adversarial Networks <br> Yuanzheng Ci, Xinzhu Ma, Zhihui Wang, Haojie Li, and Zhongxuan Luo <br> 2018 ACM International Conference on Multimedia [Paper]

Two-stage Sketch Colorization <br> Lvmin Zhang, Chengze Li, Tien-Tsin Wong, Yi Ji, and Chunping Liu <br> 2018 ACM Transactions on Graphics [Paper]

Interactive Deep Colorization and its Application for Image Compression <br> Yi Xiao, Jin Wu, Jie Zhang, Peiyao Zhou, Yan Zheng, Chi-Sing Leung, and Ladislav Kavan <br> 2020 IEEE Transactions on Visualization and Computer Graphics [Paper]

User-Guided Line Art Flat Filling with Split Filling Mechanism <br> Lvmin Zhang, Chengze Li, Edgar Simo-Serra, Yi Ji, Tien-Tsin Wong, and Chunping Liu <br> 2021 IEEE Conference on Computer Vision and Pattern Recognition [Paper]

Line Art Colorization with Concatenated Spatial Attention <br> Mingcheng Yuan, and Edgar Simo-Serra <br> 2021 IEEE Conference on Computer Vision and Pattern Recognition Workshops [Paper]

Deep Edge-Aware Interactive Colorization against Color-Bleeding Effects <br> Eungyeup Kim, Sanghyeon Lee, Jeonghoon Park, Somi Choi, Choonghyun Seo, and Jaegul Choo <br> 2021 IEEE International Conference on Computer Vision [Paper]

Dual Color Space Guided Sketch Colorization <br> Zhi Dou, Ning Wang, Baopu Li, Zhihui Wang, Haojie Li, and Bin Liu <br> 2021 IEEE Transactions on Image Processing [Paper]

Diffusart: Enhancing Line Art Colorization with Conditional Diffusion Models <br> Hernan Carrillo, Michaël Clément, Aurélie Bugeau, and Edgar Simo-Serra <br> 2023 IEEE Conference on Computer Vision and Pattern Recognition Workshops [Paper]

Guiding Users to Where to Give Color Hints for Efficient Interactive Sketch Colorization via Unsupervised Region Prioritization <br> Youngin Cho, Junsoo Lee, Soyoung Yang, Juntae Kim, Yeojeong Park, Haneol Lee, Mohammad Azam Khan, Daesik Kim, and Jaegul Choo <br> 2023 IEEE Winter Conference on Applications of Computer Vision [Paper]

iColoriT: Towards Propagating Local Hints to the Right Region in Interactive Colorization by Leveraging Vision Transformer <br> Jooyeol Yun, Sanghyeon Lee, Minho Park, and Jaegul Choo <br> 2023 IEEE Winter Conference on Applications of Computer Vision [Paper]

Text-based Methods

Language-Based Image Editing with Recurrent Attentive Models <br> Jianbo Chen, Yelong Shen, Jianfeng Gao, Jingjing Liu, and Xiaodong Liu <br> 2018 IEEE Conference on Computer Vision and Pattern Recognition [Paper]

Coloring with Words: Guiding Image Colorization Through Text-based Palette Generation <br> Hyojin Bahng, Seungjoo Yoo, Wonwoong Cho, David Keetae Park, Ziming Wu, Xiaojuan Ma, and Jaegul Choo <br> 2018 European Conference on Computer Vision [Paper]

Learning to Color from Language <br> Varun Manjunatha, Mohit Iyyer, Jordan Boyd-Graber, and Larry Davis <br> 2018 Annual Conference of the North American Chapter of the Association for Computational Linguistics [Paper]

Tag2Pix: Line Art Colorization Using Text Tag With SECat and Changing Loss <br> Hyunsu Kim, Ho Young Jhoo, Eunhyeok Park, and Sungjoo Yoo <br> 2019 IEEE International Conference on Computer Vision [Paper]

Language-based Colorization of Scene Sketches <br> Changqing Zou, Haoran Mo, Chengying Gao, Ruofei Du, and Hongbo Fu <br> 2019 ACM Transactions on Graphics [Paper]

Line Art Colorization Based on Explicit Region Segmentation <br> Ruizhi Cao, Haoran Mo, and Chengying Gao <br> 2021 Computer Graphics Forum [Paper]

L-CoDe: Language-based Colorization using Color-object Decoupled Conditions <br> Shuchen Weng, Hao Wu, Zheng Chang, Jiajun Tang, Si Li, and Boxin Shi <br> 2022 AAAI Conference on Artificial Intelligence [Paper]

L-CoDer: Language-based Colorization with Color-object Decoupling Transformer <br> Zheng Chang, Shuchen Weng, Yu Li, Si Li, and Boxin Shi <br> 2022 European Conference on Computer Vision [Paper]

L-CoIns: Language-based Colorization with Instance Awareness <br> Zheng Chang, Shuchen Weng, Peixuan Zhang, Yu Li, Si Li, and Boxin Shi <br> 2023 IEEE Conference on Computer Vision and Pattern Recognition [Paper]

L-CAD: Language-based Colorization with Any-level Descriptions <br> Zheng Chang, Shuchen Weng, Peixuan Zhang, Yu Li, Si Li, and Boxin Shi <br> 2023 Advances in Neural Information Processing Systems [Paper]

Palette-based Methods

Affective Image Colorization <br> Xiao-Hui Wang, Jia Jia, Han-Yu Liao, and Lian-Hong Cai <br> 2012 Journal of Computer Science and Technology [Paper]

Palette-based Photo Recoloring <br> Huiwen Chang, Ohad Fried, Yiming Liu, Stephen DiVerdi, and Adam Finkelstein <br> 2015 ACM Transactions on Graphics [Paper]

Diverse Colorization

Automatic Image Colorization via Multimodal Predictions <br> Guillaume Charpiat, Matthias Hofmann, and Bernhard Schölkopf <br> 2008 European Conference on Computer Vision [Paper]

Pixel Recurrent Neural Networks <br> Aaron van den Oord, Nal Kalchbrenner, and Koray Kavukcuoglu <br> 2016 International Conference on Machine Learning [Paper]

PixColor: Pixel Recursive Colorization <br> Sergio Guadarrama, Ryan Dahl, David Bieber, Mohammad Norouzi, Jonathon Shlens, and Kevin Murphy <br> 2017 British Machine Vision Conference [Paper]

Probabilistic Image Colorization <br> Amelie Royer, Alexander Kolesnikov, and Christoph H. Lampert <br> 2017 British Machine Vision Conference [Paper]

Multiple Hypothesis Colorization and Its Application to Image Compression <br> Mohammad Haris Baig, and Lorenzo Torresani <br> 2017 Computer Vision and Image Understanding [Paper]

Learning Diverse Image Colorization <br> Aditya Deshpande, Jiajun Lu, Mao-Chuang Yeh, Min Jin Chong, and David Forsyth <br> 2017 IEEE Conference on Computer Vision and Pattern Recognition [Paper]

Unsupervised Diverse Colorization via Generative Adversarial Networks <br> Yun Cao, Zhiming Zhou, Weinan Zhang, and Yong Yu <br> 2017 European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases [Paper]

Structural Consistency and Controllability for Diverse Colorization <br> Safa Messaoud, David Forsyth, and Alexander G. Schwing <br> 2018 European Conference on Computer Vision [Paper]

Towards Vivid and Diverse Image Colorization with Generative Color Prior <br> Yanze Wu, Xintao Wang, Yu Li, Honglun Zhang, Xun Zhao, and Ying Shan <br> 2021 IEEE International Conference on Computer Vision [Paper]

Video Colorization Methods

Fast Image and Video Colorization Using Chrominance Blending <br> Liron Yatziv, and Guillermo Sapiro <br> 2006 IEEE Transactions on Image Processing [Paper]

Colorization of Grayscale Images and Videos Using A Semiautomatic Approach <br> Vivek George Jacob, and Sumana Gupta <br> 2009 IEEE International Conference on Image Processing [Paper]

Video Colorization Using Parallel Optimization in Feature Space <br> Bin Sheng, Hanqiu Sun, Marcus Magnor, and Ping Li <br> 2014 IEEE Transactions on Circuits and Systems for Video Technology [Paper]

Approximate Nearest Neighbor Fields in Video <br> Nir Ben-Zrihem, and Lihi Zelnik-Manor <br> 2015 IEEE Conference on Computer Vision and Pattern Recognition [Paper]

Blind Video Temporal Consistency <br> Nicolas Bonneel, James Tompkin, Kalyan Sunkavalli, Deqing Sun, Sylvain Paris, and Hanspeter Pfister <br> 2015 ACM Transactions on Graphics [Paper]

Robust and Automatic Video Colorization via Multiframe Reordering Refinement <br> Sifeng Xia, Jiaying Liu, Yuming Fang, Wenhan Yang, and Zongming Guo <br> 2016 IEEE International Conference on Image Processing [Paper]

Video Propagation Networks <br> Varun Jampani, Raghudeep Gadde, and Peter V. Gehler <br> 2017 IEEE Conference on Computer Vision and Pattern Recognition [Paper]

Spatiotemporal Colorization of Video Using 3D Steerable Pyramids <br> Somdyuti Paul, Saumik Bhattacharya, and Sumana Gupta <br> 2017 IEEE Transactions on Circuits and Systems for Video Technology [Paper]

Deep Video Color Propagation <br> Simone Meyer, Victor Cornillère, Abdelaziz Djelouah, Christopher Schroers, and Markus Gross <br> 2018 British Machine Vision Conference [Paper]

Learning Blind Video Temporal Consistency <br> Wei-Sheng Lai, Jia-Bin Huang, Oliver Wang, Eli Shechtman, Ersin Yumer, and Ming-Hsuan Yang <br> 2018 European Conference on Computer Vision [Paper]

Switchable Temporal Propagation Network <br> Sifei Liu, Guangyu Zhong, Shalini De Mello, Jinwei Gu, Varun Jampani, Ming-Hsuan Yang, and Jan Kautz <br> 2018 European Conference on Computer Vision [Paper]

Tracking Emerges by Colorizing Videos <br> Carl Vondrick, Abhinav Shrivastava, Alireza Fathi, Sergio Guadarrama, and Kevin Murphy <br> 2018 European Conference on Computer Vision [Paper]

Automatic Temporally Coherent Video Colorization <br> Harrish Thasarathan, Kamyar Nazeri, and Mehran Ebrahimi <br> 2019 Conference on Computer and Robot Vision [Paper]

Deep Exemplar-based Video Colorization <br> Bo Zhang, Mingming He, Jing Liao, Pedro V. Sander, Lu Yuan, Amine Bermak, and Dong Chen <br> 2019 IEEE Conference on Computer Vision and Pattern Recognition [Paper]

Fully Automatic Video Colorization with Self-Regularization and Diversity <br> Chenyang Lei, and Qifeng Chen <br> 2019 IEEE Conference on Computer Vision and Pattern Recognition [Paper]

DeepRemaster: Temporal Source-Reference Attention Networks for Comprehensive Video Enhancement <br> Satoshi Iizuka, and Edgar Simo-Serra <br> 2019 ACM Transactions on Graphics [Paper]

Blind Video Temporal Consistency via Deep Video Prior <br> Chenyang Lei, Yazhou Xing, and Qifeng Chen <br> 2020 Advances in Neural Information Processing Systems [Paper]

Reference-Based Video Colorization with Spatiotemporal Correspondence <br> Naofumi Akimoto, Akio Hayakawa, Andrew Shin, and Takuya Narihira <br> 2020 Arxiv [Paper]

The Animation Transformer: Visual Correspondence via Segment Matching <br> Evan Casey, Víctor Pérez, and Zhuoru Li <br> 2021 IEEE International Conference on Computer Vision [Paper]

Temporally Consistent Video Colorization with Deep Feature Propagation and Self-regularization Learning <br> Yihao Liu, Hengyuan Zhao, Kelvin C.K. Chan, Xintao Wang, Chen Change Loy, Yu Qiao, and Chao Dong <br> 2021 Arxiv [Paper]

Line Art Correlation Matching Feature Transfer Network for Automatic Animation Colorization <br> Qian Zhang, Bo Wang, Wei Wen, Hai Li, and Junhui Liu <br> 2021 IEEE Winter Conference on Applications of Computer Vision [Paper]

BiSTNet: Semantic Image Prior Guided Bidirectional Temporal Feature Fusion for Deep Exemplar-based Video Colorization <br> Yixin Yang, Zhongzheng Peng, Xiaoyu Du, Zhulin Tao, Jinhui Tang, and Jinshan Pan <br> 2022 Arxiv [Paper]

Reference-Based Deep Line Art Video Colorization <br> Min Shi, Jia-Qi Zhang, Shu-Yu Chen, Lin Gao, Yu-Kun Lai, and Fang-Lue Zhang <br> 2022 IEEE Transactions on Visualization and Computer Graphics [Paper]

Exemplar-based Video Colorization with Long-term Spatiotemporal Dependency <br> Siqi Chen, Xueming Li, Xianlin Zhang, Mingdao Wang, Yu Zhang, Jiatong Han, and Yue Zhang <br> 2023 Arxiv [Paper]

SVCNet: Scribble-based Video Colorization Network with Temporal Aggregation <br> Yuzhi Zhao, Lai-Man Po, Kangcheng Liu, Xuehui Wang, Wing-Yin Yu, Pengfei Xian, Yujia Zhang, and Mengyang Liu <br> 2023 IEEE Transactions on Image Processing [Paper]

Video Colorization with Pre-trained Text-to-Image Diffusion Models <br> Hanyuan Liu, Minshan Xie, Jinbo Xing, Chengze Li, and Tien-Tsin Wong <br> 2023 Arxiv [Paper]

Domain-Specific Colorization Methods

Infrared Colorization Using Deep Convolutional Neural Networks <br> Matthias Limmer, and Hendrik P.A. Lensch <br> 2016 IEEE International Conference on Machine Learning and Applications [Paper]

Infrared Image Colorization based on a Triplet DCGAN Architecture <br> Patricia L. Suárez, Angel D. Sappa, and Boris X. Vintimilla <br> 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops [Paper]

(DE)2CO: Deep Depth Colorization <br> Fabio Maria Carlucci, Paolo Russo, and Barbara Caputo <br> 2018 IEEE Robotics and Automation Letters [Paper]

Colorizing Near Infrared Images through a Cyclic Adversarial Approach of Unpaired Samples <br> Armin Mehri, and Angel D. Sappa <br> 2019 IEEE Conference on Computer Vision and Pattern Recognition Workshops [Paper]

Adversarial Colorization Of Icons Based On Structure And Color Conditions <br> Tsai-Ho Sun, Chien-Hsun Lai, Sai-Keung Wong, and Yu-Shuen Wang <br> 2019 ACM International Conference on Multimedia [Paper]

Colorization of Depth Map via Disentanglement <br> Chung-Sheng Lai, Zunzhi You, Ching-Chun Huang, Yi-Hsuan Tsai, and Wei-Chen Chiu <br> 2020 European Conference on Computer Vision [Paper]

Point2color: 3D Point Cloud Colorization Using a Conditional Generative Network and Differentiable Rendering for Airborne LiDAR <br> Takayuki Shinohara, Haoyi Xiu, and Masashi Matsuoka <br> 2021 IEEE Conference on Computer Vision and Pattern Recognition Workshops [Paper]

Underwater Image Color Correction Using Ensemble Colorization Network <br> Arpit Pipara, Urvi Oza, and Srimanta Mandal <br> 2021 IEEE International Conference on Computer Vision Workshops [Paper]

Style-Structure Disentangled Features and Normalizing Flows for Diverse Icon Colorization <br> Yuan–kui Li, Yun–Hsuan Lien, and Yu–Shuen Wang <br> 2022 IEEE Conference on Computer Vision and Pattern Recognition [Paper]

Generative Colorization of Structured MobileWeb Pages <br> Kotaro Kikuchi, Naoto Inoue, Mayu Otani, Edgar Simo-Serra, and Kota Yamaguchi <br> 2023 IEEE Winter Conference on Applications of Computer Vision [Paper]

Unconditional Colorization

Consider Colorization as A Vision Task

Representation Learning

Colorful Image Colorization <br> Richard Zhang, Phillip Isola, and Alexei A. Efros <br> 2016 European Conference on Computer Vision [Paper]

Learning Representations for Automatic Colorization <br> Gustav Larsson, Michael Maire, and Gregory Shakhnarovich <br> 2016 European Conference on Computer Vision [Paper]

Colorization as a Proxy Task for Visual Understanding <br> Gustav Larsson, Michael Maire, and Gregory Shakhnarovich <br> 2017 IEEE Conference on Computer Vision and Pattern Recognition [Paper]

Image-to-Image Translation

Generalized Deep Image to Image Regression <br> Venkataraman Santhanam, Vlad I. Morariu, and Larry S. Davis <br> 2017 IEEE Conference on Computer Vision and Pattern Recognition [Paper]

Image-to-Image Translation with Conditional Adversarial Networks <br> Phillip Isola, Jun-Yan Zhu, Tinghui Zhou, and Alexei A. Efros <br> 2017 IEEE Conference on Computer Vision and Pattern Recognition [Paper]

Image Restoration and Enhancement

SCSNet: An Efficient Paradigm for Learning Simultaneously Image Colorization and Super-resolution <br> Jiangning Zhang, Chao Xu, Jian Li, Yue Han, Yabiao Wang, Ying Tai, and Yong Liu <br> 2022 AAAI Conference on Artificial Intelligence [Paper]

BIGPrior: Toward Decoupling Learned Prior Hallucination and Data Fidelity in Image Restoration <br> Majed El Helou, and Sabine Süsstrunk <br> 2022 IEEE Transactions on Image Processing [Paper]

Exploiting Deep Generative Prior for Versatile Image Restoration and Manipulation <br> Xingang Pan , Xiaohang Zhan , Bo Dai , Dahua Lin, Chen Change Loy, and Ping Luo <br> 2022 IEEE Transactions on Pattern Analysis and Machine Intelligence [Paper]

Zero-Shot Image Restoration Using Denoising Diffusion Null-Space Model <br> Yinhuai Wang, Jiwen Yu, and Jian Zhang <br> 2023 International Conference on Learning Representations [Paper]

GLEAN: Generative Latent Bank for Image Super-Resolution and Beyond <br> Kelvin C.K. Chan, Xiangyu Xu, Xintao Wang, Jinwei Gu, and Chen Change Loy <br> 2023 IEEE Transactions on Pattern Analysis and Machine Intelligence [Paper]

Semantic Colorization

Global Level

Let there be Color!: Joint End-to-end Learning of Global and Local Image Priors for Automatic Image Colorization with Simultaneous Classification <br> Satoshi Iizuka, Edgar Simo-Serra, and Hiroshi Ishikawa <br> 2016 ACM Transactions on Graphics [Paper]

ChromaGAN: Adversarial Picture Colorization with Semantic Class Distribution <br> Patricia Vitoria, Lara Raad, and Coloma Ballester <br> 2020 IEEE Winter Conference on Applications of Computer Vision [Paper]

Broad Colorization <br> Yuxi Jin, Bin Sheng, Ping Li, and C. L. Philip Chen <br> 2021 IEEE Transactions on Neural Networks and Learning Systems [Paper]

Disentangled Image Colorization via Global Anchors <br> Menghan Xia, Wenbo Hu, Tien-Tsin Wong, and Jue Wang <br> 2022 ACM Transactions on Graphics [Paper]

DDColor: Towards Photo-Realistic Image Colorization via Dual Decoders <br> Xiaoyang Kang, Tao Yang, Wenqi Ouyang, Peiran Ren, Lingzhi Li, and Xuansong Xie <br> 2023 IEEE International Conference on Computer Vision [Paper]

Instance Level

Instance-aware Image Colorization <br> Jheng-Wei Su, Hung-Kuo Chu, and Jia-Bin Huang <br> 2020 IEEE Conference on Computer Vision and Pattern Recognition [Paper]

Collaborative Image and Object Level Features for Image Colourisation <br> Rita Pucci, Christian Micheloni, and Niki Martinel <br> 2021 IEEE Conference on Computer Vision and Pattern Recognition Workshops [Paper]

L-CoIns: Language-based Colorization with Instance Awareness <br> Zheng Chang, Shuchen Weng, Peixuan Zhang, Yu Li, Si Li, and Boxin Shi <br> 2023 IEEE Conference on Computer Vision and Pattern Recognition [Paper]

Pixel Level

Pixel-level Semantics Guided Image Colorization <br> Jiaojiao Zhao, Li Liu, Cees G.M. Snoek, Jungong Han, and Ling Shao <br> 2018 British Machine Vision Conference [Paper]

Image Colorization By Capsule Networks <br> Gökhan Özbulak <br> 2019 IEEE Conference on Computer Vision and Pattern Recognition Workshops [Paper]

Pixelated Semantic Colorization <br> Jiaojiao Zhao, Jungong Han, Ling Shao, and Cees G. M. Snoek <br> 2020 International Journal of Computer Vision [Paper]

Network Structure

CNN-based Structure

Deep Colorization <br> Zezhou Cheng, Qingxiong Yang, and Bin Sheng <br> 2015 IEEE International Conference on Computer Vision [Paper]

Learning Large-Scale Automatic Image Colorization <br> Aditya Deshpande, Jason Rock, and David Forsyth <br> 2015 IEEE International Conference on Computer Vision [Paper]

Automatic Cartoon Colorization Based on Convolutional Neural Network <br> Domonkos Varga, Csaba Attila Szabó, and Tamás Szirányi <br> 2017 International Workshop on Content-Based Multimedia Indexing [Paper]

Deep Koalarization: Image Colorization using CNNs and Inception-Resnet-v2 <br> Federico Baldassarre, Diego González Morín, and Lucas Rodés-Guirao <br> 2017 Arxiv [Paper]

Learning a Deep Convolutional Network for Colorization in Monochrome-Color Dual-Lens System <br> Xuan Dong, Weixin Li, Xiaojie Wang, and Yunhong Wang <br> 2019 AAAI Conference on Artificial Intelligence [Paper]

A Colorization Framework for Monochrome-Color Dual-Lens Systems Using a Deep Convolutional Network <br> Xuan Dong, Weixin Li, Xiaoyan Hu, Xiaojie Wang, and Yunhong Wang <br> 2022 IEEE Transactions on Visualization and Computer Graphics [Paper]

GAN-based Structure

cGAN-based Manga Colorization Using a Single Training Image <br> Paulina Hensman, and Kiyoharu Aizawa <br> 2017 IAPR International Conference on Document Analysis and Recognition [Paper]

Image Colorization using Generative Adversarial Networks <br> Kamyar Nazeri, Eric Ng, and Mehran Ebrahimi <br> 2018 International Conference on Articulated Motion and Deformable Objects [Paper]

ColoringWith Limited Data: Few-Shot Colorization via Memory Augmented Networks <br> Seungjoo Yoo, Hyojin Bahng, Sunghyo Chung, Junsoo Lee, Jaehyuk Chang, and Jaegul Choo <br> 2019 IEEE Conference on Computer Vision and Pattern Recognition [Paper]

Image Colorization Using Generative Adversarial Networks and Transfer Learning <br> Leila Kiani, Masoud Saeed, and Hossein Nezamabadi-pour <br> 2020 International Conference on Machine Vision and Image Processing [Paper]

Focusing on Persons: Colorizing Old Images Learning from Modern Historical Movies <br> Xin Jin, Zhonglan Li, Ke Liu, Dongqing Zou, Xiaodong Li, Xingfan Zhu, Ziyin Zhou, Qilong Sun, and Qingyu Liu <br> 2021 ACM International Conference on Multimedia [Paper]

Exploring Sketch-based Character Design Guided by Automatic Colorization <br> Rawan Alghofaili, Matthew Fisher, Richard Zhang, Michal Lukáč, and Lap-Fai Yu <br> 2021 Graphics Interface [Paper]

SCGAN: Saliency Map-Guided Colorization With Generative Adversarial Network <br> Yuzhi Zhao, Lai-Man Po, Kwok-Wai Cheung, Wing-Yin Yu, and Yasar Abbas Ur Rehman <br> 2021 IEEE Transactions on Circuits and Systems for Video Technology [Paper]

BigColor: Colorization using a Generative Color Prior for Natural Images <br> Geonung Kim, Kyoungkook Kang, Seongtae Kim, Hwayoon Lee, Sehoon Kim, Jonghyun Kim, Seung-Hwan Baek, and Sunghyun Cho <br> 2022 European Conference on Computer Vision [Paper]

Bridging the Domain Gap towards Generalization in Automatic Colorization <br> Hyejin Lee, Daehee Kim, Daeun Lee, Jinkyu Kim, and Jaekoo Lee <br> 2022 European Conference on Computer Vision [Paper]

PalGAN: Image Colorization with Palette Generative Adversarial Networks <br> Yi Wang, Menghan Xia, Lu Qi, Jing Shao, and Yu Qiao <br> 2022 European Conference on Computer Vision [Paper]

Flow-based Structure

Guided Image Generation with Conditional Invertible Neural Networks <br> Lynton Ardizzone, Carsten Lüth, Jakob Kruse, Carsten Rother, and Ullrich Köthe <br> 2019 Arxiv [Paper]

Transformer-based Structure

Colorization Transformer <br> Manoj Kumar, Dirk Weissenborn, and Nal Kalchbrenner <br> 2021 International Conference on Learning Representations [Paper]

ColorFormer: Image Colorization via Color Memory assisted Hybrid-attention Transformer <br> Xiaozhong Ji, Boyuan Jiang, Donghao Luo, Guangpin Tao, Wenqing Chu, Zhifeng Xie, Chengjie Wang, and Ying Tai <br> 2022 European Conference on Computer Vision [Paper]

CT2: Colorization Transformer via Color Tokens <br> Shuchen Weng, Jimeng Sun, Yu Li, Si Li, and Boxin Shi <br> 2022 European Conference on Computer Vision [Paper]

UniColor: A Unified Framework for Multi-Modal Colorization with Transformer <br> Zhitong Huang, Nanxuan Zhao, and Jing Liao <br> 2022 ACM Transactions on Graphics [Paper]

DDColor: Towards Photo-Realistic Image Colorization via Dual Decoders <br> Xiaoyang Kang, Tao Yang, Wenqi Ouyang, Peiran Ren, Lingzhi Li, and Xuansong Xie <br> 2023 IEEE International Conference on Computer Vision [Paper]

iColoriT: Towards Propagating Local Hints to the Right Region in Interactive Colorization by Leveraging Vision Transformer <br> Jooyeol Yun, Sanghyeon Lee, Minho Park, and Jaegul Choo <br> 2023 IEEE Winter Conference on Applications of Computer Vision [Paper]

Diffusion-based Structure

Palette: Image-to-Image Diffusion Models <br> Chitwan Saharia, William Chan, Huiwen Chang, Chris A. Lee, Jonathan Ho, Tim Salimans, David J. Fleet, and Mohammad Norouzi <br> 2022 ACM SIGGRAPH [Paper]

Improved Diffusion-based Image Colorization via Piggybacked Models <br> Hanyuan Liu, Jinbo Xing, Minshan Xie, Chengze Li, and Tien-Tsin Wong <br> 2023 Arxiv [Paper]

Diffusing Colors: Image Colorization with Text Guided Diffusion <br> Nir Zabari, PictureAharon Azulay, PictureAlexey Gorkor, PictureTavi Halperin and PictureOhad Fried <br> 2023 ACM SIGGRAPH [Paper]