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The key to video inpainting is to use correlation information from as many reference frames as possible.
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Huang, J.B., Kang, S.B., Ahuja, N., Kopf, J.: Temporally coherent completion of dynamic video. ACM Transactions on Graphics (TOG) 35
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Shrivastava, A., Gupta, A., Girshick, R.: Training region-based object detectors with online hard example mining. In: CVPR. pp. 761–769 (2016)
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Caballero, J., Ledig, C., Aitken, A., Acosta, A., Totz, J., Wang, Z., Shi, W.: Real-time video super-resolution with spatio-temporal networks and motion compensation. In: CVPR. pp. 4778–4787 (2017)
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Ilg, E., Mayer, N., Saikia, T., Keuper, M., Dosovitskiy, A., Brox, T.: Flownet 2.0: Evolution of optical flow estimation with deep networks. In: CVPR. pp. 2462–2470 (2017)
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Chang, Y.L., Liu, Z.Y., Lee, K.Y., Hsu, W.: Free-form video inpainting with 3d gated convolution and temporal patchgan. In: ICCV. pp. 9066–9075 (2019)
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Chang, Y.L., Liu, Z.Y., Lee, K.Y., Hsu, W.: Learnable gated temporal shift module for deep video inpainting”. BMVC (2019)
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Kim, D., Woo, S., Lee, J.Y., Kweon, I.S.: Deep video inpainting. In: CVPR. pp. 5792–5801 (2019)
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Lee, S., Oh, S.W., Won, D., Kim, S.J.: Copy-and-paste networks for deep video inpainting. In: ICCV. pp. 4413–4421 (2019)
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Oh, S.W., Lee, S., Lee, J.Y., Kim, S.J.: Onion-peel networks for deep video completion. In: ICCV. pp. 4403–4412 (2019)
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Gao, C., Saraf, A., Huang, J.B., Kopf, J.: Flow-edge guided video completion. In: ECCV. pp. 713–729. Springer (2020)
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Hu, Y.T., Wang, H., Ballas, N., Grauman, K., Schwing, A.G.: Proposal-based video completion. In: ECCV. pp. 38–54. Springer (2020)
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Teed, Z., Deng, J.: Raft: Recurrent all-pairs field transforms for optical flow. In: European conference on computer vision. pp. 402–419. Springer (2020)
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Zeng, Y., Fu, J., Chao, H.: Learning joint spatial-temporal transformations for video inpainting. In: ECCV. pp. 528–543. Springer (2020)
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Cheng, H.K., Tai, Y.W., Tang, C.K.: Rethinking space-time networks with improved memory coverage for efficient video object segmentation. In: NeurIPS (2021)
2021
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Wang, C., Huang, H., Han, X., Wang, J.: Video inpainting by jointly learning temporal structure and spatial details. In: AAAI. vol. 33, pp. 5232–5239 (2019)
2019
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Xu, R., Li, X., Zhou, B., Loy, C.C.: Deep flow-guided video inpainting. In: CVPR. pp. 3723–3732 (2019)
2019
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Yu, J., Lin, Z., Yang, J., Shen, X., Lu, X., Huang, T.S.: Free-form image inpainting with gated convolution. In: ICCV. pp. 4471–4480 (2019)
2019
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Liu, R., Deng, H., Huang, Y., Shi, X., Lu, L., Sun, W., Wang, X., Dai, J., Li, H.: Fuseformer: Fusing fine-grained information in transformers for video inpainting. In: ICCV. pp. 14040–14049 (2021)
2021
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