Fetching the paper…
Reading the bibliography…
Image colorization has been attracting the research interests of the community for decades.
Transferring color to greyscale images
Tomihisa Welsh, Michael Ashikhmin, and Klaus Mueller · 2002
Earlier work this paper cites.
Measuring colorfulness in natural images
David Hasler and Sabine E Suesstrunk · 2003
Earlier work this paper cites.
Colorization using optimization
Anat Levin, Dani Lischinski, and Yair Weiss · 2004
Earlier work this paper cites.
Manga colorization
Yingge Qu, Tien-Tsin Wong, and Pheng-Ann Heng · 2006
Earlier work this paper cites.
Fast image and video colorization using chrominance blending
Liron Yatziv and Guillermo Sapiro · 2006
Earlier work this paper cites.
Imagenet: A large-scale hierarchical image database
Jia Deng, Wei Dong, Richard Socher, Li-Jia Li, Kai Li, and Li Fei-Fei · 2009
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
Earlier work this paper cites.
Variational exemplar-based image colorization
Aurélie Bugeau, Vinh-Thong Ta, and Nicolas Papadakis · 2013
Earlier work this paper cites.
Generative adversarial nets
Ian Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron Courville, and Yoshua Bengio · 2014
Earlier work this paper cites.
Microsoft coco: Common objects in context
Tsung-Yi Lin, Michael Maire, Serge Belongie, James Hays, Pietro Perona, Deva Ramanan, Piotr Dollár, and C Lawrence Zitnick · 2014
Earlier work this paper cites.
Palette-based photo recoloring
Huiwen Chang, Ohad Fried, Yiming Liu, Stephen DiVerdi, and Adam Finkelstein · 2015
Earlier work this paper cites.
Deep colorization
Zezhou Cheng, Qingxiong Yang, and Bin Sheng · 2015
Earlier work this paper cites.
Learning large-scale automatic image colorization
Aditya Deshpande, Jason Rock, and David Forsyth · 2015
Earlier work this paper cites.
U-net: Convolutional networks for biomedical image segmentation
Olaf Ronneberger, Philipp Fischer, and Thomas Brox · 2015
Earlier work this paper cites.
Deep unsupervised learning using nonequilibrium thermodynamics
Jascha Sohl-Dickstein, Eric Weiss, Niru Maheswaranathan, and Surya Ganguli · 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
Earlier work this paper cites.
Deep residual learning for image recognition
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun · 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
Earlier work this paper cites.
Perceptual losses for real-time style transfer and super-resolution
Justin Johnson, Alexandre Alahi, and Li Fei-Fei · 2016
Earlier work this paper cites.
Learning representations for automatic colorization
Gustav Larsson, Michael Maire, and Gregory Shakhnarovich · 2016
Earlier work this paper cites.
Colorful image colorization
Richard Zhang, Phillip Isola, and Alexei A Efros · 2016
Earlier work this paper cites.
Generative visual manipulation on the natural image manifold
Jun-Yan Zhu, Philipp Krähenbühl, Eli Shechtman, and Alexei A Efros · 2016
Earlier work this paper cites.
Gans trained by a two time-scale update rule converge to a local nash equilibrium
Martin Heusel, Hubert Ramsauer, Thomas Unterthiner, Bernhard Nessler, and Sepp Hochreiter · 2017
Earlier work this paper cites.
Image-to-image translation with conditional adversarial networks
Phillip Isola, Jun-Yan Zhu, Tinghui Zhou, and Alexei A Efros · 2017
Earlier work this paper cites.
Pixcolor: Pixel recursive colorization, 2017
Gustav Larsson, Carl Doersch, Aaron Sarna, and Kevin Murphy · 2017
Earlier work this paper cites.
Decoupled weight decay regularization, 2017
Ilya Loshchilov and Frank Hutter · 2017
Cited alongside, same era.
Neural discrete representation learning
Aaron Van Den Oord, Oriol Vinyals, et al · 2017
Cited alongside, same era.
Attention is all you need, 2017
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N. Gomez, Lukasz Kaiser, and Illia Polosukhin · 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
Cited alongside, same era.
Coloring with words: Guiding image colorization through text-based palette generation
Hyojin Bahng, Seungjoo Yoo, Wonwoong Cho, David Keetae Park, Ziming Wu, Xiaojuan Ma, and Jaegul Choo · 2018
Cited alongside, same era.
Coco-stuff: Thing and stuff classes in context
Holger Caesar, Jasper Uijlings, and Vittorio Ferrari · 2018
Taming transformers for high-resolution image synthesis
Patrick Esser, Robin Rombach, and Bjorn Ommer · 2021
Later among the works it cites.
Colorization transformer
Manoj Kumar, Dirk Weissenborn, and Nal Kalchbrenner · 2021
Later among the works it cites.
Sdedit: Image synthesis and editing with stochastic differential equations
Chenlin Meng, Yang Song, Jiaming Song, Jiajun Wu, Jun-Yan Zhu, and Stefano Ermon · 2021
Later among the works it cites.
Learning transferable visual models from natural language supervision
Alec Radford, Jong Wook Kim, Chris Hallacy, Aditya Ramesh, Gabriel Goh, Sandhini Agarwal, Girish Sastry, Amanda Askell, Pamela Mishkin, Jack Clark, et al · 2021
Later among the works it cites.
Towards vivid and diverse image colorization with generative color prior
Yanze Wu, Xintao Wang, Yu Li, Honglun Zhang, Xun Zhao, and Ying Shan · 2021
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Cited alongside, same era.
Text2colors: Guiding image colorization through text-driven palette generation
Seonghyeon Cho, Hyojin Bahng, Sanghyuk Lee, and Jaegul Cho · 2018
Cited alongside, same era.
Deep exemplar-based colorization
Mingming He, Dongdong Chen, Jing Liao, Pedro V Sander, and Lu Yuan · 2018
Cited alongside, same era.
The unreasonable effectiveness of deep features as a perceptual metric
Richard Zhang, Phillip Isola, Alexei A Efros, Eli Shechtman, and Oliver Wang · 2018
Cited alongside, same era.
Image2stylegan: How to embed images into the stylegan latent space?
Rameen Abdal, Yipeng Qin, and Peter Wonka · 2019
Cited alongside, same era.
Deoldify: A open-source project for colorizing old images (and video), 2019
Jason Antic · 2019
Cited alongside, same era.
Progressive color transfer with dense semantic correspondences
Mingming He, Jing Liao, Dongdong Chen, Lu Yuan, and Pedro V Sander · 2019
Cited alongside, same era.
Subhankar Ghosh, Prasun Roy, Saumik Bhattacharya, Umapada Pal, and Michael Blumenstein · 2022
Later among the works it cites.
Unicolor: A unified framework for multi-modal colorization with transformer
Zhitong Huang, Nanxuan Zhao, and Jing Liao · 2022
Later among the works it cites.
Colorformer: Image colorization via color memory assisted hybrid-attention transformer
Xiaozhong Ji, Boyuan Jiang, Donghao Luo, Guangpin Tao, Wenqing Chu, Zhifeng Xie, Chengjie Wang, and Ying Tai · 2022
Later among the works it cites.
Bigcolor: Colorization using a generative color prior for natural images
Geonung Kim, Kyoungkook Kang, Seongtae Kim, Hwayoon Lee, Sehoon Kim, Jonghyun Kim, Seung-Hwan Baek, and Sunghyun Cho · 2022
Later among the works it cites.
Blip: Bootstrapping language-image pre-training for unified vision-language understanding and generation, 2022
Junnan Li, Dongxu Li, Caiming Xiong, and Steven Hoi · 2022
Later among the works it cites.
Dreamfusion: Text-to-3d using 2d diffusion
Ben Poole, Ajay Jain, Jonathan T Barron, and Ben Mildenhall · 2022
Later among the works it cites.
Hierarchical text-conditional image generation with clip latents
Aditya Ramesh, Prafulla Dhariwal, Alex Nichol, Casey Chu, and Mark Chen · 2022
Later among the works it cites.
High-resolution image synthesis with latent diffusion models
Robin Rombach, Andreas Blattmann, Dominik Lorenz, Patrick Esser, and Björn Ommer · 2022
Later among the works it cites.
Palette: Image-to-image diffusion models
Chitwan Saharia, William Chan, Huiwen Chang, Chris Lee, Jonathan Ho, Tim Salimans, David Fleet, and Mohammad Norouzi · 2022
Later among the works it cites.
Photorealistic text-to-image diffusion models with deep language understanding
Chitwan Saharia, William Chan, Saurabh Saxena, Lala Li, Jay Whang, Emily Denton, Seyed Kamyar Seyed Ghasemipour, Burcu Karagol Ayan, S Sara Mahdavi, Rapha Gontijo Lopes, et al · 2022
Later among the works it cites.
Image super-resolution via iterative refinement
Chitwan Saharia, Jonathan Ho, William Chan, Tim Salimans, David J Fleet, and Mohammad Norouzi · 2022
Later among the works it cites.
Laion-5b: An open large-scale dataset for training next generation image-text models
Christoph Schuhmann, Romain Beaumont, Richard Vencu, Cade Gordon, Ross Wightman, Mehdi Cherti, Theo Coombes, Aarush Katta, Clayton Mullis, Mitchell Wortsman, et al · 2022
Later among the works it cites.
Sketch-guided text-to-image diffusion models
Andrey Voynov, Kfir Aberman, and Daniel Cohen-Or · 2022
Later among the works it cites.
Palgan: Image colorization with palette generative adversarial networks
Yi Wang, Menghan Xia, Lu Qi, Jing Shao, and Yu Qiao · 2022
Later among the works it cites.
Ct2: Colorization transformer via color tokens
Shuchen Weng, Jimeng Sun, Yu Li, Si Li, and Boxin Shi · 2022
Later among the works it cites.
L-code: Language-based colorization using color-object decoupled conditions
Shuchen Weng, Hao Wu, Zheng Chang, Jiajun Tang, Si Li, and Boxin Shi · 2022
Later among the works it cites.
Disentangled image colorization via global anchors
Menghan Xia, Wenbo Hu, Tien-Tsin Wong, and Jue Wang · 2022
Later among the works it cites.
T2i-adapter: Learning adapters to dig out more controllable ability for text-to-image diffusion models, 2023
Chong Mou, Xintao Wang, Liangbin Xie, Yanze Wu, Jian Zhang, Zhongang Qi, Ying Shan, and Xiaohu Qie · 2023
Closest in time.
Adding conditional control to text-to-image diffusion models
Lvmin Zhang and Maneesh Agrawala · 2023
Closest in time.