Error Compensation Framework for Flow-Guided Video Inpainting

Author:

Kang JaeyeonORCID,Oh Seoung WugORCID,Kim Seon JooORCID

Publisher

Springer Nature Switzerland

Reference23 articles.

1. Caballero, J., et al.: Real-time video super-resolution with spatio-temporal networks and motion compensation. In: CVPR, pp. 4778–4787 (2017)

2. Caelles, S., et al.: The 2018 davis challenge on video object segmentation. arXiv preprint arXiv:1803.00557 (2018)

3. 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)

4. Chang, Y.L., Liu, Z.Y., Lee, K.Y., Hsu, W.: Learnable gated temporal shift module for deep video inpainting. In: BMVC (2019)

5. 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)

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