Fetching the paper…
Reading the bibliography…
We propose the first unified framework UniColor to support colorization in multiple modalities, including both unconditional and conditional ones, such as stroke, exemplar, text, and even a mix of them.
Measuring colorfulness in natural images. In Human Vision and Electronic Imaging VIII , Bernice E. Rogowitz and Thrasyvoulos N. Pappas (Eds.), Vol. 5007. International Society for Optics and Photonics, SPIE, 87 – 95
David Hasler and Sabine E. Suesstrunk. 2003 · 2003
Earlier work this paper cites.
Image Quality Assessment: From Error Visibility to Structural Similarity
Zhou Wang, A. C. Bovik, H. R. Sheikh, and E. P. Simoncelli. 2004 · 2003
Earlier work this paper cites.
Colorization Using Optimization (SIGGRAPH ’04) . Association for Computing Machinery, New York, NY, USA, 689–694
Anat Levin, Dani Lischinski, and Yair Weiss. 2004 · 2004
Earlier work this paper cites.
Natural Image Colorization. In Rendering Techniques , Jan Kautz and Sumanta Pattanaik (Eds.). The Eurographics Association
Qing Luan, Fang Wen, Daniel Cohen-Or, Lin Liang, Ying-Qing Xu, and Heung-Yeung Shum. 2007 · 2007
Earlier work this paper cites.
SLIC Superpixels Compared to State-of-the-Art Superpixel Methods
Radhakrishna Achanta, Appu Shaji, Kevin Smith, Aurelien Lucchi, Pascal Fua, and Sabine Süsstrunk. 2012 · 2012
Earlier work this paper cites.
Generative Adversarial Nets. In Advances in Neural Information Processing Systems , Z. Ghahramani, M. Welling, C. Cortes, N. Lawrence, and K.Q. Weinberger (Eds.), Vol. 27. Curran Associates, Inc
Ian Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron Courville, and Yoshua Bengio. 2014 · 2014
Earlier work this paper cites.
ReferItGame: Referring to Objects in Photographs of Natural Scenes. In Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP) . Association for Computational Linguistics, Doha, Qatar, 787–798
Sahar Kazemzadeh, Vicente Ordonez, Mark Matten, and Tamara Berg. 2014 · 2014
Earlier work this paper cites.
Microsoft COCO: Common Objects in Context. In Computer Vision – ECCV 2014 , David Fleet, Tomas Pajdla, Bernt Schiele, and Tinne Tuytelaars (Eds.). Springer International Publishing, Cham, 740–755
Tsung-Yi Lin, Michael Maire, Serge Belongie, James Hays, Pietro Perona, Deva Ramanan, Piotr Dollár, and C. Lawrence Zitnick. 2014 · 2014
Earlier work this paper cites.
Dzmitry Bahdanau, Kyunghyun Cho, and Yoshua Bengio. 2015 · 2015
Earlier work this paper cites.
ImageNet Large Scale Visual Recognition Challenge
Olga Russakovsky, Jia Deng, Hao Su, Jonathan Krause, Sanjeev Satheesh, Sean Ma, Zhiheng Huang, Andrej Karpathy, Aditya Khosla, Michael Bernstein, Alexander C. Berg, and Li Fei-Fei. 2015 · 2015
Earlier work this paper cites.
Karen Simonyan and Andrew Zisserman. 2015 · 2015
Earlier work this paper cites.
DeepProp: Extracting Deep Features from a Single Image for Edit Propagation
Yuki Endo, Satoshi Iizuka, Yoshihiro Kanamori, and Jun Mitani. 2016 · 2016
Earlier work this paper cites.
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, and Hiroshi Ishikawa. 2016 · 2016
Earlier work this paper cites.
Colorful Image Colorization. In ECCV
Richard Zhang, Phillip Isola, and Alexei A Efros. 2016 · 2016
Earlier work this paper cites.
Unsupervised Diverse Colorization via Generative Adversarial Networks. In Machine Learning and Knowledge Discovery in Databases , Michelangelo Ceci, Jaakko Hollmén, Ljupčo Todorovski, Celine Vens, and Sašo Džeroski (Eds.). Springer International Publishing, Cham, 151–166
Yun Cao, Zhiming Zhou, Weinan Zhang, and Yong Yu. 2017 · 2017
Earlier work this paper cites.
Learning diverse image colorization. In Proceedings - 30th IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2017 (Proceedings - 30th IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2017) . Institute of Electrical and Electronics Engineers Inc., United States, 2877–2885
Aditya Deshpande, Jiajun Lu, Mao Chuang Yeh, Min Jin Chong, and David Forsyth. 2017 · 2017
Earlier work this paper cites.
GANs Trained by a Two Time-Scale Update Rule Converge to a Local Nash Equilibrium. In Advances in Neural Information Processing Systems , Vol. 30
Martin Heusel, Hubert Ramsauer, Thomas Unterthiner, Bernhard Nessler, and Sepp Hochreiter. 2017 · 2017
Earlier work this paper cites.
Image-to-Image Translation with Conditional Adversarial Networks. In 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) . 5967–5976
Phillip Isola, Jun-Yan Zhu, Tinghui Zhou, and Alexei A. Efros. 2017 · 2017
Cited alongside, same era.
Yoon Kim, Carl Denton, Luong Hoang, and Alexander M. Rush. 2017 · 2017
Cited alongside, same era.
Attention is All you Need. In Advances in Neural Information Processing Systems , I. Guyon, U. V. Luxburg, S. Bengio, H. Wallach, R. Fergus, S. Vishwanathan, and R. Garnett (Eds.), Vol. 30. Curran Associates, Inc
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Ł ukasz Kaiser, and Illia Polosukhin. 2017 · 2017
Cited alongside, same era.
Real-Time User-Guided Image Colorization with Learned Deep Priors
Richard Zhang, Jun-Yan Zhu, Phillip Isola, Xinyang Geng, Angela S Lin, Tianhe Yu, and Alexei A Efros. 2017 · 2017
Cited alongside, same era.
Generative Pretraining From Pixels. In Proceedings of the 37th International Conference on Machine Learning (Proceedings of Machine Learning Research, Vol. 119) , Hal Daumé III and Aarti Singh (Eds.). PMLR, 1691–1703
Mark Chen, Alec Radford, Rewon Child, Jeffrey Wu, Heewoo Jun, David Luan, and Ilya Sutskever. 2020 · 2020
Later among the works it cites.
Denoising Diffusion Probabilistic Models. In Advances in Neural Information Processing Systems , H. Larochelle, M. Ranzato, R. Hadsell, M.F. Balcan, and H. Lin (Eds.), Vol. 33. Curran Associates, Inc., 6840–6851
Jonathan Ho, Ajay Jain, and Pieter Abbeel. 2020a · 2020
Later among the works it cites.
Image Colorization Using Generative Adversarial Networks and Transfer Learning
Leila Kiani, Masoudnia Saeed, and Hossein Nezamabadi-pour. 2020 · 2020
Later among the works it cites.
Multi-Task Collaborative Network for Joint Referring Expression Comprehension and Segmentation. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
Gen Luo, Yiyi Zhou, Xiaoshuai Sun, Liujuan Cao, Chenglin Wu, Cheng Deng, and Rongrong Ji. 2020 · 2020
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Coloring with Words: Guiding Image Colorization Through Text-Based Palette Generation. In Computer Vision – ECCV 2018 , Vittorio Ferrari, Martial Hebert, Cristian Sminchisescu, and Yair Weiss (Eds.). Springer International Publishing, Cham, 443–459
Hyojin Bahng, Seungjoo Yoo, Wonwoong Cho, David Keetae Park, Ziming Wu, Xiaojuan Ma, and Jaegul Choo. 2018 · 2018
Cited alongside, same era.
Language-Based Image Editing with Recurrent Attentive Models
Jianbo Chen, Yelong Shen, Jianfeng Gao, Jingjing Liu, and Xiaodong Liu. 2018 · 2018
Cited alongside, same era.
Deoldify: A Deep Learning based Project for Colorizing and Restoring Old Images and Video
Deoldify. 2018 · 2018
Cited alongside, same era.
Deep exemplar-based colorization
Mingming He, Dongdong Chen, Jing Liao, Pedro V Sander, and Lu Yuan. 2018 · 2018
Cited alongside, same era.
Learning to Color from Language. In North American Chapter of the Association for Computational Linguistics
Varun Manjunatha, Mohit Iyyer, Jordan Boyd-Graber, and Larry Davis. 2018 · 2018
Cited alongside, same era.
The Contextual Loss for Image Transformation with Non-Aligned Data. In Proceedings of the European Conference on Computer Vision (ECCV)
Roey Mechrez, Itamar Talmi, and Lihi Zelnik-Manor. 2018 · 2018
Cited alongside, same era.
Structural Consistency and Controllability for Diverse Colorization. In ECCV (6) . 603–619
Safa Messaoud, David A. Forsyth, and Alexander G. Schwing. 2018 · 2018
Cited alongside, same era.
Image Transformer. In Proceedings of the 35th International Conference on Machine Learning (Proceedings of Machine Learning Research, Vol. 80) , Jennifer Dy and Andreas Krause (Eds.). PMLR, 4055–4064
Niki Parmar, Ashish Vaswani, Jakob Uszkoreit, Lukasz Kaiser, Noam Shazeer, Alexander Ku, and Dustin Tran. 2018 · 2018
Cited alongside, same era.
Instance-aware Image Colorization. In IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
Jheng-Wei Su, Hung-Kuo Chu, and Jia-Bin Huang. 2020 · 2020
Later among the works it cites.
ChromaGAN: Adversarial Picture Colorization with Semantic Class Distribution. In The IEEE Winter Conference on Applications of Computer Vision . 2445–2454
Patricia Vitoria, Lara Raad, and Coloma Ballester. 2020 · 2020
Later among the works it cites.
Scaling Autoregressive Video Models. In International Conference on Learning Representations
Dirk Weissenborn, Oscar Täckström, and Jakob Uszkoreit. 2020 · 2020
Later among the works it cites.
Stylization-Based Architecture for Fast Deep Exemplar Colorization. In 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) . 9360–9369
Zhongyou Xu, Tingting Wang, Faming Fang, Yun Sheng, and Guixu Zhang. 2020 · 2020
Later among the works it cites.
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale. In 9th International Conference on Learning Representations, ICLR 2021, Virtual Event, Austria, May 3-7, 2021 . OpenReview.net
Alexey Dosovitskiy, Lucas Beyer, Alexander Kolesnikov, Dirk Weissenborn, Xiaohua Zhai, Thomas Unterthiner, Mostafa Dehghani, Matthias Minderer, Georg Heigold, Sylvain Gelly, Jakob Uszkoreit, and Neil Houlsby. 2021 · 2021
Later among the works it cites.
Taming Transformers for High-Resolution Image Synthesis. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) . 12873–12883
Patrick Esser, Robin Rombach, and Bjorn Ommer. 2021 · 2021
Later among the works it cites.
Focusing on Persons: Colorizing Old Images Learning from Modern Historical Movies
Xin Jin, Zhonglan Li, Ke Liu, Dongqing Zou, Xiaodong Li, Xingfan Zhu, Ziyin Zhou, Qi song Sun, and Qingyu Liu. 2021 · 2021
Later among the works it cites.
Colorization Transformer. In International Conference on Learning Representations
Manoj Kumar, Dirk Weissenborn, and Nal Kalchbrenner. 2021 · 2021
Later among the works it cites.
Learning Transferable Visual Models From Natural Language Supervision. In ICML
Alec Radford, Jong Wook Kim, Chris Hallacy, Aditya Ramesh, Gabriel Goh, Sandhini Agarwal, Girish Sastry, Amanda Askell, Pamela Mishkin, Jack Clark, Gretchen Krueger, and Ilya Sutskever. 2021 · 2021
Later among the works it cites.
Zero-Shot Text-to-Image Generation. In Proceedings of the 38th International Conference on Machine Learning (Proceedings of Machine Learning Research, Vol. 139) , Marina Meila and Tong Zhang (Eds.). PMLR, 8821–8831
Aditya Ramesh, Mikhail Pavlov, Gabriel Goh, Scott Gray, Chelsea Voss, Alec Radford, Mark Chen, and Ilya Sutskever. 2021 · 2021
Later among the works it cites.
Palette: Image-to-Image Diffusion Models
Chitwan Saharia, William Chan, Huiwen Chang, Chris A. Lee, Jonathan Ho, Tim Salimans, David J. Fleet, and Mohammad Norouzi. 2021 · 2021
Later among the works it cites.
UFC-BERT: Unifying Multi-Modal Controls for Conditional Image Synthesis. In Advances in Neural Information Processing Systems , A. Beygelzimer, Y. Dauphin, P. Liang, and J. Wortman Vaughan (Eds.)
Zhu Zhang, Jianxin Ma, Chang Zhou, Rui Men, Zhikang Li, Ming Ding, Jie Tang, Jingren Zhou, and Hongxia Yang. 2021 · 2021
Later among the works it cites.
CRIS: CLIP-Driven Referring Image Segmentation. In Proceedings of the IEEE/CVF conference on computer vision and pattern recognition
Zhaoqing Wang, Yu Lu, Qiang Li, Xunqiang Tao, Yandong Guo, Mingming Gong, and Tongliang Liu. 2022 · 2022
Closest in time.