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Recent video inpainting methods have made remarkable progress by utilizing explicit guidance, such as optical flow, to propagate cross-frame pixels.
Progressive temporal feature alignment network for video inpainting
Xueyan Zou, Linjie Yang, Ding Liu, and Yong Jae Lee · 2000
Earlier work this paper cites.
Image quality assessment: from error visibility to structural similarity
Zhou Wang, Alan C. Bovik, Hamid R. Sheikh, and Eero P. Simoncelli · 2004
Earlier work this paper cites.
Patchmatch: a randomized correspondence algorithm for structural image editing
Connelly Barnes, Eli Shechtman, Adam Finkelstein, and Dan B. Goldman · 2009
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Imagenet: A large-scale hierarchical image database
Jia Deng, Wei Dong, Richard Socher, Li-Jia Li, Kai Li, and Li Fei-Fei · 2009
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The stability-plasticity dilemma: Investigating the continuum from catastrophic forgetting to age-limited learning effects, 2013
Martial Mermillod, Aurélia Bugaiska, and Patrick Bonin · 2013
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Fully convolutional networks for semantic segmentation
Jonathan Long, Evan Shelhamer, and Trevor Darrell · 2015
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Faster r-cnn: Towards real-time object detection with region proposal networks
Shaoqing Ren, Kaiming He, Ross Girshick, and Jian Sun · 2015
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Lei Jimmy Ba, Jamie Ryan Kiros, and Geoffrey E. Hinton · 2016
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Context encoders: Feature learning by inpainting
Deepak Pathak, Philipp Krähenbühl, Jeff Donahue, Trevor Darrell, and Alexei A. Efros · 2016
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A benchmark dataset and evaluation methodology for video object segmentation
Federico Perazzi, Jordi Pont-Tuset, Brian McWilliams, Luc Van Gool, Markus Gross, and Alexander Sorkine-Hornung · 2016
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Xception: Deep learning with depthwise separable convolutions
François Chollet · 2017
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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
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Globally and locally consistent image completion
Satoshi Iizuka, Edgar Simo-Serra, and Hiroshi Ishikawa · 2017
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Attention is all you need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Łukasz Kaiser, and Illia Polosukhin · 2017
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Image inpainting for irregular holes using partial convolutions
Guilin Liu, Fitsum A. Reda, Kevin J. Shih, Ting-Chun Wang, Andrew Tao, and Bryan Catanzaro · 2018
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Video-to-video synthesis
Ting-Chun Wang, Ming-Yu Liu, Jun-Yan Zhu, Nikolai Yakovenko, Andrew Tao, Jan Kautz, and Bryan Catanzaro · 2018
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Youtube-vos: Sequence-to-sequence video object segmentation
Ning Xu, Linjie Yang, Yuchen Fan, Jianchao Yang, Dingcheng Yue, Yuchen Liang, Brian Price, Scott Cohen, and Thomas Huang · 2018
Earlier work this paper cites.
Places: A 10 million image database for scene recognition
Bolei Zhou, Àgata Lapedriza, Aditya Khosla, Aude Oliva, and Antonio Torralba · 2018
Earlier work this paper cites.
Learnable gated temporal shift module for deep video inpainting
Ya-Liang Chang, Zhe Yu Liu, Kuan-Ying Lee, and Winston H. Hsu · 2019
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Free-form video inpainting with 3d gated convolution and temporal patchgan
Ya-Liang Chang, Zhe Yu Liu, Kuan-Ying Lee, and Winston Hsu · 2019
Earlier work this paper cites.
BERT: pre-training of deep bidirectional transformers for language understanding
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova · 2019
Cited alongside, same era.
Deep video inpainting
Dahun Kim, Sanghyun Woo, Joon-Young Lee, and In So Kweon · 2019
Cited alongside, same era.
Copy-and-paste networks for deep video inpainting
Sungho Lee, Seoung Wug Oh, DaeYeun Won, and Seon Joo Kim · 2019
Cited alongside, same era.
Video inpainting by jointly learning temporal structure and spatial details
Chuan Wang, Haibin Huang, Xiaoguang Han, and Jue Wang · 2019
Cited alongside, same era.
Deep flow-guided video inpainting
Rui Xu, Xiaoxiao Li, Bolei Zhou, and Chen Change Loy · 2019
Cited alongside, same era.
Free-form image inpainting with gated convolution
Jiahui Yu, Zhe Lin, Jimei Yang, Xiaohui Shen, Xin Lu, and Thomas S. Huang · 2019
Cited alongside, same era.
Devit: Deformed vision transformers in video inpainting
Jiayin Cai, Changlin Li, Xin Tao, Chun Yuan, and Yu-Wing Tai · 2022
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Masked autoencoders are scalable vision learners
Kaiming He, Xinlei Chen, Saining Xie, Yanghao Li, Piotr Dollár, and Ross Girshick · 2022
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Keys to better image inpainting: Structure and texture go hand in hand
Jitesh Jain, Yuqian Zhou, Ning Yu, and Humphrey Shi · 2022
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Error compensation framework for flow-guided video inpainting
Jaeyeon Kang, Seoung Wug Oh, and Seon Joo Kim · 2022
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MAT: mask-aware transformer for large hole image inpainting
Wenbo Li, Zhe Lin, Kun Zhou, Lu Qi, Yi Wang, and Jiaya Jia · 2022
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Flow-edge guided video completion
Chen Gao, Ayush Saraf, Jia-Bin Huang, and Johannes Kopf · 2020
Cited alongside, same era.
Region normalization for image inpainting
Tao Yu, Zongyu Guo, Xin Jin, Shilin Wu, Zhibo Chen, Weiping Li, Zhizheng Zhang, and Sen Liu · 2020
Cited alongside, same era.
Learning joint spatial-temporal transformations for video inpainting
Yanhong Zeng, Jianlong Fu, and Hongyang Chao · 2020
Cited alongside, same era.
An image is worth 16x16 words: Transformers for image recognition at scale
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
Cited alongside, same era.
Fuseformer: Fusing fine-grained information in transformers for video inpainting
Rui Liu, Hanming Deng, Yangyi Huang, Xiaoyu Shi, Lewei Lu, Wenxiu Sun, Xiaogang Wang, Jifeng Dai, and Hongsheng Li · 2021
Cited alongside, same era.
Internal video inpainting by implicit long-range propagation
Hao Ouyang, Tengfei Wang, and Qifeng Chen · 2021
Cited alongside, same era.
MISF: multi-level interactive siamese filtering for high-fidelity image inpainting
Xiaoguang Li, Qing Guo, Di Lin, Ping Li, Wei Feng, and Song Wang · 2022
Later among the works it cites.
Towards an end-to-end framework for flow-guided video inpainting
Zhen Li, Cheng-Ze Lu, Jianhua Qin, Chun-Le Guo, and Ming-Ming Cheng · 2022
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How do vision transformers work?
Namuk Park and Songkuk Kim · 2022
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High-resolution image synthesis with latent diffusion models
Robin Rombach, Andreas Blattmann, Dominik Lorenz, Patrick Esser, and Björn Ommer · 2022
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Resolution-robust large mask inpainting with fourier convolutions
Roman Suvorov, Elizaveta Logacheva, Anton Mashikhin, Anastasia Remizova, Arsenii Ashukha, Aleksei Silvestrov, Naejin Kong, Harshith Goka, Kiwoong Park, and Victor Lempitsky · 2022
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Image as a foreign language: Beit pretraining for all vision and vision-language tasks
Wenhui Wang, Hangbo Bao, Li Dong, Johan Bjorck, Zhiliang Peng, Qiang Liu, Kriti Aggarwal, Owais Khan Mohammed, Saksham Singhal, Subhojit Som, and Furu Wei · 2022
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Unbiased multi-modality guidance for image inpainting
Yongsheng Yu, Dawei Du, Libo Zhang, and Tiejian Luo · 2022
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High-fidelity image inpainting with gan inversion
Yongsheng Yu, Libo Zhang, Heng Fan, and Tiejian Luo · 2022
Later among the works it cites.
Flow-guided transformer for video inpainting
Kaidong Zhang, Jingjing Fu, and Dong Liu · 2022
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Inertia-guided flow completion and style fusion for video inpainting
Kaidong Zhang, Jingjing Fu, and Dong Liu · 2022
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Bridging global context interactions for high-fidelity image completion
Chuanxia Zheng, Tat-Jen Cham, Jianfei Cai, and Dinh Q. Phung · 2022
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Sangjin Lee, Suhwan Cho, and Sangyoun Lee · 2023
Closest in time.
Track anything: Segment anything meets videos
Jinyu Yang, Mingqi Gao, Zhe Li, Shang Gao, Fangjing Wang, and Feng Zheng · 2023
Closest in time.
Magic: Multi-modality guided image completion
Yongsheng Yu, Hao Wang, Tiejian Luo, Heng Fan, and Libo Zhang · 2023
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Segment everything everywhere all at once
Xueyan Zou, Jianwei Yang, Hao Zhang, Feng Li, Linjie Li, Jianfeng Gao, and Yong Jae Lee · 2023
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