A curated list of awesome resources for colorization. We will keep updating it.
❗ Updated 2022-07.
| Year | Pub. | Title | Links |
|---|---|---|---|
| 2021 | arXiv08 | Towards Photorealistic Colorization by Imagination Chenyang Lei, Yue Wu, Qifeng Chen |
Paper/Code |
| 2021 | arXiv07 | Attention-Guided NIR Image Colorization via Adaptive Fusion of Semantic and Texture Clues Xingxing Yang, Jie Chen, Zaifeng Yang, et al. |
Paper/Code |
| 2021 | arXiv06 | Color2Embed: Fast Exemplar-Based Image Colorization using Color Embeddings Hengyuan Zhao, Wenhao Wu, et al. |
Paper/Code |
| 2020 | arXiv08 | Image Colorization: A Survey and Dataset Saeed Anwar, et al. |
Paper/Code |
| Year | Pub. | Title | Links |
|---|---|---|---|
| 2023 | SA | Diffusing Colors: Image Colorization with Text Guided Diffusion Nir Zabari, Aharon Azulay, Alexey Gorkor, Tavi Halperin, Ohad Fried |
Paper/Code |
| 2023 | ICCV | Sketch and Text Guided Diffusion Model for Colored Point Cloud Generation Zijie Wu, Yaonan Wang, Mingtao Feng, He Xie, Ajmal Mian |
Paper/Code |
| 2023 | ICCV | DDColor: Towards Photo-Realistic Image Colorization via Dual Decoders Xiaoyang Kang, Tao Yang, Wenqi Ouyang, Peiran Ren, Lingzhi Li, Xuansong Xie |
Paper/Code |
| 2023 | ICRA | Scene-level Point Cloud Colorization with Semantic-and-Geometric-aware Networks Rongrong Gao, Tian-Zhu Xiang, Chenyang Lei, Jaesik Park, Qifeng Chen |
Paper/Code |
| Year | Pub. | Title | Links |
|---|---|---|---|
| 2022 | ECCV | Bridging the Domain Gap towards Generalization in Automatic Colorization Hyejin Lee, Deahee Kim, DaEun Lee, Jinkyu Kim, Jaekoo Lee |
Paper/Code |
| 2022 | ECCV | BigColor: Colorization using a Generative Color Prior for Natural Images Geonung Kim, Kyoungkook Kang, Seongtae Kim, Hwayoon Lee, et al. |
Paper/Proj/ Code |
| 2022 | ECCV | ColorFormer: Image Colorization via Color Memory assisted Hybrid-attention Transformer X. Ji, B. Jiang, D. Luo, G. Tao, et al. |
Paper/Code |
| 2022 | ECCV | CT2: Coloriztation Transformer via Color Tokens Shuchen Weng, Boxin Shi, et al. |
Paper/Code |
| 2022 | CVPR | Style-Structure Disentangled Features and Normalizing Flows for Diverse Icon Colorization Yuan-Kui Li, Yu-Shuen Wang, et al. |
Paper/Code |
| 2022 | SIGGRAPH | Palette: Image-to-Image Diffusion Models Chitwan Saharia, William Chan, Huiwen Chang, Chris A Lee, Jonathan Ho, Tim Salimans, et al. |
Paper/Code |
| 2022 | AAAI | SCSNet: An Efficient Paradigm for Learning Simultaneously Image Colorization and Super-Resolution Jiangning Zhang, et al. |
Paper/Code |
| 2022 | AAAI | L-CoDe: Language-based Colorization using Color-object Decoupled Conditions Shuchen Weng, Hao Wu, et al |
Paper/Code |
| 2022 | EAAI | Deep learning for image colorization: Current and future prospects Shanshan Huang, Xin Jin, Qian Jiang, Li Liu |
Paper/Code |
| Year | Pub. | Title | Links |
|---|---|---|---|
| 2021 | ICCV | Deep Edge-Aware Interactive Colorization Against Color-Bleeding Effects E. Kim, S. Lee, J. Park, et al. |
Paper/Proj |
| 2021 | ICCV | Towards Vivid and Diverse Image Colorization with Generative Color Prior Yanze Wu, et al. |
Paper/Code |
| 2021 | MM | Yes, 'Attention Is All You Need', for Exemplar based Colorization Wang Yin, et al. |
Paper/Code |
| 2021 | MM | Focusing on Persons: Colorizing Old Images Learning from Modern Historical Movies Xin Jin, Dongqing Zou, et al. |
Paper/Data |
| 2021 | CVPR | User-Guided Line Art Flat Filling with Split Filling Mechanism Lvmin Zhang, Tien-Tsin Wong, et al. |
Paper/Proj |
| 2021 | CVPR | HistoGAN: Controlling Colors of GAN-Generated and Real Images via Color Histograms M. Afifi, M. Brubaker, Michael S. Brown |
Paper/Code |
| 2021 | ICLR | Colorization Transformer M. Kumar, D. Weissenborn, Nal Kalchbrenner |
Paper/Code |
| 2021 | TIP | Self-Supervised Colorization Towards Monochrome-Color Camera Systems Using Cycle CNN Xuan Dong, Yunhong Wang, et al. |
Paper/Code |
| 2021 | TIP | Dual Color Space Guided Sketch Colorization Zhi Dou, et al. |
Paper/Code |
| 2021 | TVCG | A Colorization Framework for Monochrome-Color Dual-Lens Systems using a Deep Convolutional Network Xuan Dong, Yunhong Wang, et al. |
Paper/Code |
| 2021 | TVCG | Interactive Deep Colorization and Its Application for Image Compression Yi Xiao, et al. |
Paper/Code |
| 2021 | TVCG | Palettailor: Discriminable Colorization for Categorical Data Kecheng Lu, et al. |
Paper/Code |
| 2021 | TNNLS | Broad Colorization Yuxi Jin, et al. |
Paper/Code |
| 2021 | TMM | VCGAN: Video Colorization with Hybrid Generative Adversarial Network Yuzhi Zhao, et al. |
arXiv/Code |
| Year | Pub. | Title | Links |
|---|---|---|---|
| 2020 | MM | Gray2ColorNet: Transfer More Colors from Reference Image Peng Lu, et al. |
Paper/Code SUPP |
| 2020 | ECCV | Learn to Recover Visible Color for Video Surveillance in a Day G. Wu, Yinqiang Zheng, et al. |
Paper/Code |
| 2020 | ECCV | Colorization of Depth Map via Disentanglement Chung-Sheng Lai, et al. |
Paper/Code |
| 2020 | CVPR | ColorFool: Semantic Adversarial Colorization Ali Shahin Shamsabadi et al. |
Paper/Code |
| 2020 | CVPR | Instance-Aware Image Colorization J. Su, H. Chu, Jia-Bin Huang |
Paper/Code Proj |
| 2020 | CVPR | Stylization-Based Architecture for Fast Deep Exemplar Colorization Zhongyou Xu, et al. |
Paper/Code |
| 2020 | CVPR | Reference-Based Sketch Image Colorization Using Augmented-Self Reference and Dense Semantic Correspondence Junsoo Lee, et al. |
Paper/Code Proj |
| 2020 | AAAI | Cycle-CNN for Colorization towards Real Monochrome-Color Camera Systems Xuan Dong, Yunhong Wang, et al. |
Paper/Code |
| 2020 | IJCV | Pixelated Semantic Colorization Jiaojiao Zhao, Jungong Han, et al. |
Paper/Code |
| 2020 | TVCG | A Superpixel-Based Variational Model for Image Colorization Faming Fang, Guixu Zhang, et al. |
Paper/Code |
| 2020 | TVCG | Active Colorization for Cartoon Line Drawings Shu-Yu Chen, et al. |
Paper/Code |
| 2020 | TMM | Automated Colorization of a Grayscale Image With Seed Points Propagation Shaohua Wan, et al. |
Paper/Code |
| 2020 | TSCVT | SCGAN: Saliency Map-guided Colorization with Generative Adversarial Network Yuzhi Zhao, et al. |
arXiv/Code |
| Year | Pub. | Title | Links |
|---|---|---|---|
| 2019 | SIGA | DeepRemaster: temporal source-reference attention networks for comprehensive video enhancement Satoshi Iizuka, Edgar Simo-Serra |
Paper/Code Proj |
| 2019 | SIGA | Language-based Colorization of Scene Sketches Changqing Zou, Haoran Mo, et al. |
Paper/Code/ Proj |
| 2019 | ICCV | Tag2Pix: Line Art Colorization Using Text Tag With SECat and Changing Loss Hyunsu Kim, et al. |
Paper/Code |
| 2019 | MM | Adversarial Colorization of Icons based on Contour and Color Conditions Tsai-Ho Sun, Chien-Hsun Lai, et al. |
Paper/Code |
| 2019 | CVPR | Fully Automatic Video Colorization With Self-Regularization and Diversity Chenyang Lei, Qifeng Chen, et al. |
Paper/Code Proj |
| 2019 | CVPR | Deep Exemplar-Based Video Colorization Bo Zhang, et al. |
Paper/Code |
| 2019 | CVPR | Coloring With Limited Data: Few-Shot Colorization via Memory Augmented Networks Seungjoo Yoo, et al. |
Paper/Code Proj |
| 2019 | CVPRW | Image Colorization by Capsule Networks Gokhan Ozbulak |
Paper/Code |
| 2019 | CVPRW | Robust Image Colorization Using Self Attention Based Progressive Generative Adversarial Network Manoj Sharma, et al. |
Paper/Code |
| 2019 | AAAI | Learning a Deep Convolutional Network for Colorization in Monochrome-Color Dual-Lens System Xuan Dong, Yunhong Wang, et al. |
Paper/Code |
| 2019 | TIP | Automatic Example-Based Image Colorization Using Location-Aware Cross-Scale Matching Bo Li, Yu-Kun Lai, et al. |
Paper/Code |
| 2019 | CGF | Example-Based Colourization Via Dense Encoding Pyramids Chufeng Xiao, Tien-Tsin Wong, et al. |
Paper/Code |
| Year | Pub. | Title | Links |
|---|---|---|---|
| 2018 | ECCV | Tracking Emerges by Colorizing Videos Carl Vondrick, et al. |
Paper/Code |
| 2018 | ECCV | Coloring with Words: Guiding Image Colorization Through Text-based Palette Generation Hyojin Bahng, Seungjoo Yoo, et al. |
Paper/Code |
| 2018 | ECCV | Structural Consistency and Controllability for Diverse Colorization Safa Messaoud, David Forsyth, et al. |
Paper/Code |
| 2018 | ECCV | Switchable Temporal Propagation Network Sifei Liu, Ming-Hsuan Yang, et al. |
Paper/Code |
| 2018 | MM | User-Guided Deep Anime Line Art Colorization with Conditional Adversarial Networks Yuanzheng Ci, et al. |
Paper/Code |
| 2018 | SIG | Deep Exemplar-based Colorization Mingming He, Lu Yuan, et al. |
Paper/Code |
| 2018 | SIG | Progressive Color Transfer with Dense Semantic Correspondences Mingming He, Lu Yuan, et al. |
Paper/Code |
| 2018 | SIGA | Two-stage sketch colorization Lvmin Zhang, Tien-Tsin Wong, et al. |
Paper/Proj |
| 2018 | AAAI | Learning Generative Neural Networks for 3D Colorization Z. Yang, L. Liu, Qixing Huang |
Paper/Codee |
| 2018 | TVCG | A Data-Driven Approach for Furniture and Indoor Scene Colorization Jie Zhu, Yanwen Guo, Han Ma |
Paper/Code |
| Year | Pub. | Title | Links |
|---|---|---|---|
| 2017 | CVPR | Learning Diverse Image Colorization Aditya Deshpande, David Forsyth, et al. |
Paper/Code |
| 2017 | CVPR | Colorization as a Proxy Task for Visual Understanding Gustav Larsson, Michael Maire, et al. |
Paper/Code Proj |
| 2017 | CVPR | Image-to-Image Translation with Conditional Adversarial Networks P. Isola, Jun-Yan Zhu, et al. |
Paper/Code |
| 2017 | CVPR | Generalized Deep Image to Image Regression V. Santhanam, Vlad I. Morariu, Larry S. Davis |
Paper/Code |
| 2017 | CVPR | Scribbler: Controlling Deep Image Synthesis with Sketch and Color Patsorn Sangkloy, Fisher Yu, et al. |
Paper/Code |
| 2017 | CVPR | Split-Brain Autoencoders: Unsupervised Learning by Cross-Channel Prediction Richard Zhang, Phillip Isola, Alexei A. Efros |
Paper/Code Proj |
| 2017 | SIG | Real-Time User-Guided Image Colorization with Learned Deep Priors Richard Zhang, Jun-Yan Zhu, et al. |
Paper/Code Proj |
| 2017 | TIP | Colorization Using Neural Network Ensemble Z. Cheng, Q. Yang, Bin Sheng |
Paper/Code |
| Year | Pub. | Title | Links |
|---|---|---|---|
| 2016 | ECCV | Colorful Image Colorization Richard Zhang, Phillip Isola, Alexei A. Efros |
Paper/Code Proj |
| 2016 | ECCV | Learning Representations for Automatic Colorization G. Larsson, M. Maire, and G. Shakhnarovich |
Paper/Code Proj |
| 2016 | SIG | Let there be Color! Joint End-to-end Learning of Global and Local Image Priors for Automatic Image Colorization with Simultaneous Classification Satoshi Iizuka, Edgar Simo-Serra Hiroshi Ishikawa |
Paper/Code Proj |
| Year | Pub. | Title | Links |
|---|---|---|---|
| 2015 | ICCV | Learning Large-Scale Automatic Image Colorization A. Deshpande, J. Rock, David Forsyth |
Paper/Code Proj |
| 2015 | ICCV | Depth Map Estimation and Colorization of Anaglyph Images Using Local Color Prior and Reverse Intensity Distribution Williem, Ramesh Raskar, In Kyu Park |
Paper/Code |
| 2015 | ICCV | Deep Colorization Z. Cheng, Q. Yang, Bin Sheng |
Paper/Code Ext |
| Year | Pub. | Title | Links |
|---|---|---|---|
| 2017 | ICCV | CycleGAN: Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks Jun-Yan Zhu, T. Park, P. Isola, Alexei A. Efros |
Paper/Code Proj |
| 2017 | CVPR | Pix2Pix: Image-to-Image Translation with Conditional Adversarial Nets P. Isola, Jun-Yan Zhu, T. Zhou, Alexei A. Efros |
Paper/Code Proj |
- Open Source Softerware: DeOldify
- Online Line Drawing Colorizer : Petalica Paint, PaintsChainer
- Awesome Image Colorization