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Diffusion models have recently demonstrated their effectiveness in generating extremely high-quality images and are now utilized in a wide range of applications, including automatic sketch colorization.
Image deformation using moving least squares
Scott Schaefer, Travis McPhail, and Joe D. Warren. 2006 · 2006
Earlier work this paper cites.
LazyBrush: Flexible Painting Tool for Hand-drawn Cartoons
Daniel Sýkora, John Dingliana, and Steven Collins. 2009 · 2009
Earlier work this paper cites.
Generative Adversarial Nets. In NeurIPS . 2672–2680
Ian J. Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron C. Courville, and Yoshua Bengio. 2014 · 2014
Earlier work this paper cites.
Auto-Encoding Variational Bayes. In ICLR
Diederik P. Kingma and Max Welling. 2014 · 2014
Earlier work this paper cites.
Adam: A Method for Stochastic Optimization. In ICLR
Diederik P. Kingma and Jimmy Ba. 2015 · 2015
Earlier work this paper cites.
U-Net: Convolutional Networks for Biomedical Image Segmentation. In MICCAI , Vol. 9351. Springer, 234–241
Olaf Ronneberger, Philipp Fischer, and Thomas Brox. 2015 · 2015
Earlier work this paper cites.
Deep Unsupervised Learning using Nonequilibrium Thermodynamics. In ICML , Vol. 37. JMLR.org, 2256–2265
Jascha Sohl-Dickstein, Eric A. Weiss, Niru Maheswaranathan, and Surya Ganguli. 2015 · 2015
Earlier work this paper cites.
Image Style Transfer Using Convolutional Neural Networks. In CVPR . IEEE/CVF, 2414–2423
Leon A. Gatys, Alexander S. Ecker, and Matthias Bethge. 2016 · 2016
Earlier work this paper cites.
Perceptual Losses for Real-Time Style Transfer and Super-Resolution. In ECCV , Vol. 9906. Springer, 694–711
Justin Johnson, Alexandre Alahi, and Li Fei-Fei. 2016 · 2016
Earlier work this paper cites.
Colorful Image Colorization. In ECCV , Vol. 9907. Springer, 649–666
Richard Zhang, Phillip Isola, and Alexei A. Efros. 2016 · 2016
Earlier work this paper cites.
Comicolorization: semi-automatic manga colorization. In SIGGRAPH Asia . ACM, 12:1–12:4
Chie Furusawa, Kazuyuki Hiroshiba, Keisuke Ogaki, and Yuri Odagiri. 2017 · 2017
Earlier work this paper cites.
GANs Trained by a Two Time-Scale Update Rule Converge to a Local Nash Equilibrium. In NeurIPS . 6626–6637
Martin Heusel, Hubert Ramsauer, Thomas Unterthiner, Bernhard Nessler, and Sepp Hochreiter. 2017 · 2017
Earlier work this paper cites.
Arbitrary Style Transfer in Real-Time with Adaptive Instance Normalization. In ICCV . IEEE/CVF, 1510–1519
Xun Huang and Serge J. Belongie. 2017 · 2017
Earlier work this paper cites.
Image-to-Image Translation with Conditional Adversarial Networks. In CVPR . IEEE/CVF, 5967–5976
Phillip Isola, Jun-Yan Zhu, Tinghui Zhou, and Alexei A. Efros. 2017 · 2017
Earlier work this paper cites.
Neural Discrete Representation Learning. In NeurIPS . 6306–6315
Aäron van den Oord, Oriol Vinyals, and Koray Kavukcuoglu. 2017 · 2017
Earlier work this paper cites.
SketchKeras
Lvmin Zhang. 2017 · 2017
Earlier work this paper cites.
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
Earlier work this paper cites.
Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks. In ICCV . IEEE/CVF, 2242–2251
Jun-Yan Zhu, Taesung Park, Phillip Isola, and Alexei A. Efros. 2017 · 2017
Earlier work this paper cites.
StarGAN: Unified Generative Adversarial Networks for Multi-Domain Image-to-Image Translation. In CVPR . IEEE/CVF, 8789–8797
Yunjey Choi, Min-Je Choi, Munyoung Kim, Jung-Woo Ha, Sunghun Kim, and Jaegul Choo. 2018 · 2018
Earlier work this paper cites.
A Fast and Efficient Semi-guided Algorithm for Flat Coloring Line-arts. In Vision, Modeling and Visualization VMV . Eurographics Association, 1–9
Sébastien Fourey, David Tschumperlé, and David Revoy. 2018 · 2018
Earlier work this paper cites.
Deep exemplar-based colorization
Mingming He, Dongdong Chen, Jing Liao, Pedro V Sander, and Lu Yuan. 2018 · 2018
Earlier work this paper cites.
Two-stage sketch colorization
Lvmin Zhang, Chengze Li, Tien-Tsin Wong, Yi Ji, and Chunping Liu. 2018 · 2018
Earlier work this paper cites.
A Style-Based Generator Architecture for Generative Adversarial Networks. In CVPR . IEEE/CVF, 4401–4410
Tero Karras, Samuli Laine, and Timo Aila. 2019 · 2019
Earlier work this paper cites.
Tag2Pix: Line Art Colorization Using Text Tag With SECat and Changing Loss. In ICCV . IEEE/CVF, 9055–9064
Hyunsu Kim, Ho Young Jhoo, Eunhyeok Park, and Sungjoo Yoo. 2019 · 2019
Earlier work this paper cites.
Decoupled Weight Decay Regularization. In ICLR . OpenReview.net
Ilya Loshchilov and Frank Hutter. 2019 · 2019
Earlier work this paper cites.
Adversarial Colorization of Icons Based on Contour and Color Conditions. In ACM MM . ACM, 683–691
Tsai-Ho Sun, Chien-Hsun Lai, Sai-Keung Wong, and Yu-Shuen Wang. 2019 · 2019
Cited alongside, same era.
Language-Based Colorization of Scene Sketches
Changqing Zou, Haoran Mo, Chengying Gao, Ruofei Du, and Hongbo Fu. 2019 · 2019
Cited alongside, same era.
Colorization of Line Drawings with Empty Pupils
Kenta Akita, Yuki Morimoto, and Reiji Tsuruno. 2020 · 2020
Cited alongside, same era.
StarGAN v2: Diverse Image Synthesis for Multiple Domains. In CVPR . IEEE/CVF, 8185–8194
Yunjey Choi, Youngjung Uh, Jaejun Yoo, and Jung-Woo Ha. 2020 · 2020
Cited alongside, same era.
Denoising Diffusion Probabilistic Models. In NeurIPS
Jonathan Ho, Ajay Jain, and Pieter Abbeel. 2020 · 2020
Cited alongside, same era.
Analyzing and Improving the Image Quality of StyleGAN. In CVPR . IEEE/CVF, 8107–8116
AnimeDiffusion: Anime Face Line Drawing Colorization via Diffusion Models
Yu Cao, Xiangqiao Meng, P. Y. Mok, Xueting Liu, Tong-Yee Lee, and Ping Li. 2023 · 2023
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Reproducible scaling laws for contrastive language-image learning. In CVPR . 2818–2829
Mehdi Cherti, Romain Beaumont, Ross Wightman, Mitchell Wortsman, Gabriel Ilharco, Cade Gordon, Christoph Schuhmann, Ludwig Schmidt, and Jenia Jitsev. 2023 · 2023
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Hugging Face/waifu-diffusion-v1-4
Reimu Hakurei. 2023 · 2023
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EasyNegative
Havoc. 2023 · 2023
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More Control for Free! Image Synthesis with Semantic Diffusion Guidance. In WACV . IEEE/CVF, 289–299
Xihui Liu, Dong Huk Park, Samaneh Azadi, Gong Zhang, Arman Chopikyan, Yuxiao Hu, Humphrey Shi, Anna Rohrbach, and Trevor Darrell. 2023 · 2023
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Tero Karras, Samuli Laine, Miika Aittala, Janne Hellsten, Jaakko Lehtinen, and Timo Aila. 2020 · 2020
Cited alongside, same era.
Reference-Based Sketch Image Colorization Using Augmented-Self Reference and Dense Semantic Correspondence. In CVPR . IEEE/CVF, 5800–5809
Junsoo Lee, Eungyeup Kim, Yunsung Lee, Dongjun Kim, Jaehyuk Chang, and Jaegul Choo. 2020 · 2020
Cited alongside, same era.
Diffusion Models Beat GANs on Image Synthesis. In NeurIPS . 8780–8794
Prafulla Dhariwal and Alexander Quinn Nichol. 2021 · 2021
Cited alongside, same era.
Taming Transformers for High-Resolution Image Synthesis. In CVPR . IEEE/CVF, 12873–12883
Patrick Esser, Robin Rombach, and Björn Ommer. 2021 · 2021
Cited alongside, same era.
OpenCLIP
Gabriel Ilharco, Mitchell Wortsman, Ross Wightman, Cade Gordon, Nicholas Carlini, Rohan Taori, Achal Dave, Vaishaal Shankar, Hongseok Namkoong, John Miller, Hannaneh Hajishirzi, Ali Farhadi, and Ludwig Schmidt. 2021 · 2021
Cited alongside, same era.
StyleCLIP: Text-Driven Manipulation of StyleGAN Imagery. In ICCV . IEEE/CVF, 2065–2074
Or Patashnik, Zongze Wu, Eli Shechtman, Daniel Cohen-Or, and Dani Lischinski. 2021 · 2021
Cited alongside, same era.
Learning Transferable Visual Models From Natural Language Supervision. In ICML , Vol. 139. PMLR, 8748–8763
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
Cited alongside, same era.
Lyumin Zhang Mikubill. 2023 · 2023
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Chong Mou, Xintao Wang, Liangbin Xie, Jian Zhang, Zhongang Qi, Ying Shan, and Xiaohu Qie. 2023 · 2023
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SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis
Dustin Podell, Zion English, Kyle Lacey, Andreas Blattmann, Tim Dockhorn, Jonas Müller, Joe Penna, and Robin Rombach. 2023 · 2023
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negativeXL
rqdwdw. 2023 · 2023
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DreamBooth: Fine Tuning Text-to-Image Diffusion Models for Subject-Driven Generation. In CVPR . IEEE/CVF, 22500–22510
Nataniel Ruiz, Yuanzhen Li, Varun Jampani, Yael Pritch, Michael Rubinstein, and Kfir Aberman. 2023 · 2023
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pytorch-fid: FID Score for PyTorch
Maximilian Seitzer. 2023 · 2023
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Plug-and-Play Diffusion Features for Text-Driven Image-to-Image Translation. In CVPR . IEEE/CVF, 1921–1930
Narek Tumanyan, Michal Geyer, Shai Bagon, and Tali Dekel. 2023 · 2023
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Two-Step Training: Adjustable Sketch Colourization via Reference Image and Text Tag
Dingkun Yan, Ryogo Ito, Ryo Moriai, and Suguru Saito. 2023 · 2023
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IP-Adapter: Text Compatible Image Prompt Adapter for Text-to-Image Diffusion Models
Hu Ye, Jun Zhang, Sibo Liu, Xiao Han, and Wei Yang. 2023 · 2023
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https://civitai.com/models/9409
Yuno779. 2023 · 2023
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How ControlNet-reference works
Lvmin Zhang. 2023 · 2023
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Adding Conditional Control to Text-to-Image Diffusion Models
Lvmin Zhang and Maneesh Agrawala. 2023 · 2023
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ProSpect: Prompt Spectrum for Attribute-Aware Personalization of Diffusion Models
Yuxin Zhang, Weiming Dong, Fan Tang, Nisha Huang, Haibin Huang, Chongyang Ma, Tong-Yee Lee, Oliver Deussen, and Changsheng Xu. 2023a · 2023
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Real-World Image Variation by Aligning Diffusion Inversion Chain
Yuechen Zhang, Jinbo Xing, Eric Lo, and Jiaya Jia. 2023c · 2023
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Hugging Face/IP-Adapter
h94. 2024 · 2024
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Hugging Face/controlnet-lllite
kohya ss. 2024 · 2024
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stable-diffusion-v1-5
runwayml. 2024 · 2024
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stable-diffusion-xl-base-1.0
Stability-AI. 2024 · 2024
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Hugging Face/IP-Adapter
TencentARC. 2024 · 2024
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ControlNet-v1-1-nightly
Lvmin Zhang. 2024 · 2024
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