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Propagation-based video inpainting using optical flow at the pixel or feature level has recently garnered significant attention.
Image quality assessment: from error visibility to structural similarity
Wang, Z.; Bovik, A. C.; Sheikh, H. R.; and Simoncelli, E. P. 2004 · 2004
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Auto-encoding variational bayes
Kingma, D. P.; and Welling, M. 2013 · 2013
Earlier work this paper cites.
Adam: A method for stochastic optimization
Kingma, D. P.; and Ba, J. 2014 · 2014
Earlier work this paper cites.
A benchmark dataset and evaluation methodology for video object segmentation
Perazzi, F.; Pont-Tuset, J.; McWilliams, B.; Van Gool, L.; Gross, M.; and Sorkine-Hornung, A. 2016 · 2016
Earlier work this paper cites.
Learning blind video temporal consistency
Lai, W.-S.; Huang, J.-B.; Wang, O.; Shechtman, E.; Yumer, E.; and Yang, M.-H. 2018 · 2018
Earlier work this paper cites.
Wang, T.-C.; Liu, M.-Y.; Zhu, J.-Y.; Liu, G.; Tao, A.; Kautz, J.; and Catanzaro, B. 2018 · 2018
Earlier work this paper cites.
Youtube-vos: Sequence-to-sequence video object segmentation
Xu, N.; Yang, L.; Fan, Y.; Yang, J.; Yue, D.; Liang, Y.; Price, B.; Cohen, S.; and Huang, T. 2018 · 2018
Earlier work this paper cites.
Flow-edge guided video completion
Gao, C.; Saraf, A.; Huang, J.-B.; and Kopf, J. 2020 · 2020
Earlier work this paper cites.
Raft: Recurrent all-pairs field transforms for optical flow
Teed, Z.; and Deng, J. 2020 · 2020
Cited alongside, same era.
Learning joint spatial-temporal transformations for video inpainting
Zeng, Y.; Fu, J.; and Chao, H. 2020 · 2020
Cited alongside, same era.
Fuseformer: Fusing fine-grained information in transformers for video inpainting
Liu, R.; Deng, H.; Huang, Y.; Shi, X.; Lu, L.; Sun, W.; Wang, X.; Dai, J.; and Li, H. 2021 · 2021
Cited alongside, same era.
Progressive temporal feature alignment network for video inpainting
Zou, X.; Yang, L.; Liu, D.; and Lee, Y. J. 2021 · 2021
Cited alongside, same era.
Video diffusion models
Ho, J.; Salimans, T.; Gritsenko, A.; Chan, W.; Norouzi, M.; and Fleet, D. J. 2022 · 2022
Cited alongside, same era.
Error compensation framework for flow-guided video inpainting
Kang, J.; Oh, S. W.; and Kim, S. J. 2022 · 2022
High-resolution image synthesis with latent diffusion models
Rombach, R.; Blattmann, A.; Lorenz, D.; Esser, P.; and Ommer, B. 2022 · 2022
Later among the works it cites.
Stable video diffusion: Scaling latent video diffusion models to large datasets
Blattmann, A.; Dockhorn, T.; Kulal, S.; Mendelevitch, D.; Kilian, M.; Lorenz, D.; Levi, Y.; English, Z.; Voleti, V.; Letts, A.; et al. 2023 · 2023
Later among the works it cites.
Flow-guided diffusion for video inpainting
Gu, B.; Yu, Y.; Fan, H.; and Zhang, L. 2023 · 2023
Later among the works it cites.
Null-text inversion for editing real images using guided diffusion models
Mokady, R.; Hertz, A.; Aberman, K.; Pritch, Y.; and Cohen-Or, D. 2023 · 2023
Later among the works it cites.
Propainter: Improving propagation and transformer for video inpainting
Zhou, S.; Li, C.; Chan, K. C.; and Loy, C. C. 2023 · 2023
Later among the works it cites.
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Cited alongside, same era.
Towards an end-to-end framework for flow-guided video inpainting
Li, Z.; Lu, C.-Z.; Qin, J.; Guo, C.-L.; and Cheng, M.-M. 2022 · 2022
Cited alongside, same era.
Flow-guided transformer for video inpainting
Zhang, K.; Fu, J.; and Liu, D. 2022a
Cited in the paper.
Inertia-guided flow completion and style fusion for video inpainting
Zhang, K.; Fu, J.; and Liu, D. 2022b
Cited in the paper.
AVID: Any-Length Video Inpainting with Diffusion Model
Zhang, Z.; Wu, B.; Wang, X.; Luo, Y.; Zhang, L.; Zhao, Y.; Vajda, P.; Metaxas, D.; and Yu, L. 2024 · 2024
Closest in time.
Zi, B.; Zhao, S.; Qi, X.; Wang, J.; Shi, Y.; Chen, Q.; Liang, B.; Wong, K.-F.; and Zhang, L. 2024 · 2024
Closest in time.