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Derived from diffusion models, MangaNinjia specializes in the task of reference-guided line art colorization.
Non-parametric local transforms for computing visual correspondence
Ramin Zabih and John Woodfill · 1994
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Distinctive image features from scale-invariant keypoints
David G Lowe · 2004
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Image quality assessment: from error visibility to structural similarity
Zhou Wang, Alan C Bovik, Hamid R Sheikh, and Eero P Simoncelli · 2004
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Surf: Speeded up robust features
Herbert Bay, Tinne Tuytelaars, and Luc Van Gool · 2006
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Building rome in a day
Sameer Agarwal, Yasutaka Furukawa, Noah Snavely, Ian Simon, Brian Curless, Steven M Seitz, and Richard Szeliski · 2011
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Deep unsupervised learning using nonequilibrium thermodynamics
Jascha Sohl-Dickstein, Eric Weiss, Niru Maheswaranathan, and Surya Ganguli · 2015
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Structure-from-motion revisited
Johannes L Schonberger and Jan-Michael Frahm · 2016
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Pixelwise view selection for unstructured multi-view stereo
Johannes L Schönberger, Enliang Zheng, Jan-Michael Frahm, and Marc Pollefeys · 2016
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A survey of structure from motion*
Onur Özyeşil, Vladislav Voroninski, Ronen Basri, and Amit Singer · 2017
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Scribbler: Controlling deep image synthesis with sketch and color
Patsorn Sangkloy, Jingwan Lu, Chen Fang, Fisher Yu, and James Hays · 2017
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Auto-painter: Cartoon image generation from sketch by using conditional wasserstein generative adversarial networks
Yifan Liu, Zengchang Qin, Tao Wan, and Zhenbo Luo · 2018
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Two-stage sketch colorization
Lvmin Zhang, Chengze Li, Tien-Tsin Wong, Yi Ji, and Chunping Liu · 2018
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Tag2pix: Line art colorization using text tag with secat and changing loss
Hyunsu Kim, Ho Young Jhoo, Eunhyeok Park, and Sungjoo Yoo · 2019
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Graph matching based anime colorization with multiple references
Akinobu Maejima, Hiroyuki Kubo, Takuya Funatomi, Tatsuo Yotsukura, Satoshi Nakamura, and Yasuhiro Mukaigawa · 2019
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Learning correspondence from the cycle-consistency of time
Xiaolong Wang, Allan Jabri, and Alexei A Efros · 2019
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Generative adversarial networks
Ian Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron Courville, and Yoshua Bengio · 2020
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Space-time correspondence as a contrastive random walk
Allan Jabri, Andrew Owens, and Alexei Efros · 2020
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Learning feature descriptors using camera pose supervision
Qianqian Wang, Xiaowei Zhou, Bharath Hariharan, and Noah Snavely · 2020
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Line art colorization based on explicit region segmentation
Ruizhi Cao, Haoran Mo, and Chengying Gao · 2021
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The animation transformer: Visual correspondence via segment matching
Evan Casey, Víctor Pérez, and Zhuoru Li · 2021
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Cats: Cost aggregation transformers for visual correspondence
Seokju Cho, Sunghwan Hong, Sangryul Jeon, Yunsung Lee, Kwanghoon Sohn, and Seungryong Kim · 2021
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Dual color space guided sketch colorization
Zhi Dou, Ning Wang, Baopu Li, Zhihui Wang, Haojie Li, and Bin Liu · 2021
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Patchmatch-based neighborhood consensus for semantic correspondence
Jae Yong Lee, Joseph DeGol, Victor Fragoso, and Sudipta N Sinha · 2021
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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
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Cocosnet v2: Full-resolution correspondence learning for image translation
Xingran Zhou, Bo Zhang, Ting Zhang, Pan Zhang, Jianmin Bao, Dong Chen, Zhongfei Zhang, and Fang Wen · 2021
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Text2live: Text-driven layered image and video editing
Omer Bar-Tal, Dolev Ofri-Amar, Rafail Fridman, Yoni Kasten, and Tali Dekel · 2022
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An image is worth one word: Personalizing text-to-image generation using textual inversion
Rinon Gal, Yuval Alaluf, Yuval Atzmon, Or Patashnik, Amit H Bermano, Gal Chechik, and Daniel Cohen-Or · 2022
Cited alongside, same era.
Aiatrack: Attention in attention for transformer visual tracking
Shenyuan Gao, Chunluan Zhou, Chao Ma, Xinggang Wang, and Junsong Yuan · 2022
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Dragondiffusion: Enabling drag-style manipulation on diffusion models
Chong Mou, Xintao Wang, Jiechong Song, Ying Shan, and Jian Zhang · 2023
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Dinov2: Learning robust visual features without supervision, 2023
Maxime Oquab, Timothée Darcet, Theo Moutakanni, Huy V. Vo, Marc Szafraniec, Vasil Khalidov, Pierre Fernandez, Daniel Haziza, Francisco Massa, Alaaeldin El-Nouby, Russell Howes, Po-Yao Huang, Hu Xu, Vasu Sharma, Shang-Wen Li, Wojciech Galuba, Mike Rabbat, Mido Assran, Nicolas Ballas, Gabriel Synnaeve, Ishan Misra, Herve Jegou, Julien Mairal, Patrick Labatut, Armand Joulin, and Piotr Bojanowski · 2023
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Dreambooth: Fine tuning text-to-image diffusion models for subject-driven generation
Nataniel Ruiz, Yuanzhen Li, Varun Jampani, Yael Pritch, Michael Rubinstein, and Kfir Aberman · 2023
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Objectstitch: Object compositing with diffusion model
Yizhi Song, Zhifei Zhang, Zhe Lin, Scott Cohen, Brian Price, Jianming Zhang, Soo Ye Kim, and Daniel Aliaga · 2023
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Emergent correspondence from image diffusion
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Prompt-to-prompt image editing with cross attention control
Amir Hertz, Ron Mokady, Jay Tenenbaum, Kfir Aberman, Yael Pritch, and Daniel Cohen-Or · 2022
Cited alongside, same era.
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
Cited alongside, same era.
Transformatcher: Match-to-match attention for semantic correspondence
Seungwook Kim, Juhong Min, and Minsu Cho · 2022
Cited alongside, same era.
Magicmix: Semantic mixing with diffusion models
Jun Hao Liew, Hanshu Yan, Daquan Zhou, and Jiashi Feng · 2022
Cited alongside, same era.
Gan-supervised dense visual alignment
William Peebles, Jun-Yan Zhu, Richard Zhang, Antonio Torralba, Alexei A Efros, and Eli Shechtman · 2022
Cited alongside, same era.
High-resolution image synthesis with latent diffusion models
Robin Rombach, Andreas Blattmann, Dominik Lorenz, Patrick Esser, and Björn Ommer · 2022
Cited alongside, same era.
Towards grand unification of object tracking
Bin Yan, Yi Jiang, Peize Sun, Dong Wang, Zehuan Yuan, Ping Luo, and Huchuan Lu · 2022
Cited alongside, same era.
Luming Tang, Menglin Jia, Qianqian Wang, Cheng Perng Phoo, and Bharath Hariharan · 2023
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Plug-and-play diffusion features for text-driven image-to-image translation
Narek Tumanyan, Michal Geyer, Shai Bagon, and Tali Dekel · 2023
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Dreaminpainter: Text-guided subject-driven image inpainting with diffusion models
Shaoan Xie, Yang Zhao, Zhisheng Xiao, Kelvin CK Chan, Yandong Li, Yanwu Xu, Kun Zhang, and Tingbo Hou · 2023
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Magicanimate: Temporally consistent human image animation using diffusion model
Zhongcong Xu, Jianfeng Zhang, Jun Hao Liew, Hanshu Yan, Jia-Wei Liu, Chenxu Zhang, Jiashi Feng, and Mike Zheng Shou · 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
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Customnet: Zero-shot object customization with variable-viewpoints in text-to-image diffusion models
Ziyang Yuan, Mingdeng Cao, Xintao Wang, Zhongang Qi, Chun Yuan, and Ying Shan · 2023
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Diffusing colors: Image colorization with text guided diffusion
Nir Zabari, Aharon Azulay, Alexey Gorkor, Tavi Halperin, and Ohad Fried · 2023
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Anydoor: Zero-shot object-level image customization
Xi Chen, Lianghua Huang, Yu Liu, Yujun Shen, Deli Zhao, and Hengshuang Zhao · 2024
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Learning inclusion matching for animation paint bucket colorization
Yuekun Dai, Shangchen Zhou, Qinyue Li, Chongyi Li, and Chen Change Loy · 2024
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Mix-of-show: Decentralized low-rank adaptation for multi-concept customization of diffusion models
Yuchao Gu, Xintao Wang, Jay Zhangjie Wu, Yujun Shi, Yunpeng Chen, Zihan Fan, Wuyou Xiao, Rui Zhao, Shuning Chang, Weijia Wu, et al · 2024
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Unsupervised semantic correspondence using stable diffusion
Eric Hedlin, Gopal Sharma, Shweta Mahajan, Hossam Isack, Abhishek Kar, Andrea Tagliasacchi, and Kwang Moo Yi · 2024
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Control color: Multimodal diffusion-based interactive image colorization
Zhexin Liang, Zhaochen Li, Shangchen Zhou, Chongyi Li, and Chen Change Loy · 2024
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Clic: Concept learning in context
Mehdi Safaee, Aryan Mikaeili, Or Patashnik, Daniel Cohen-Or, and Ali Mahdavi-Amiri · 2024
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Dragdiffusion: Harnessing diffusion models for interactive point-based image editing
Yujun Shi, Chuhui Xue, Jun Hao Liew, Jiachun Pan, Hanshu Yan, Wenqing Zhang, Vincent YF Tan, and Song Bai · 2024
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Realfill: Reference-driven generation for authentic image completion
Luming Tang, Nataniel Ruiz, Qinghao Chu, Yuanzhen Li, Aleksander Holynski, David E Jacobs, Bharath Hariharan, Yael Pritch, Neal Wadhwa, Kfir Aberman, et al · 2024
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Sketchdeco: Decorating b&w sketches with colour
Chaitat Utintu, Pinaki Nath Chowdhury, Aneeshan Sain, Subhadeep Koley, Ayan Kumar Bhunia, and Yi-Zhe Song · 2024
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Tooncrafter: Generative cartoon interpolation
Jinbo Xing, Hanyuan Liu, Menghan Xia, Yong Zhang, Xintao Wang, Ying Shan, and Tien-Tsin Wong · 2024
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Lightweight deep exemplar colorization via semantic attention-guided laplacian pyramid
Chengyi Zou, Shuai Wan, Marc Gorriz Blanch, Luka Murn, Marta Mrak, Juil Sock, Fei Yang, and Luis Herranz · 2024
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