Internal Video Inpainting by Implicit Long-range Propagation

• URL: http://arxiv.org/abs/2108.01912v1
• Date: Wed, 4 Aug 2021 08:56:28 GMT
• Title: Internal Video Inpainting by Implicit Long-range Propagation
• Authors: Hao Ouyang, Tengfei Wang, Qifeng Chen
• Abstract summary: We propose a novel framework for video inpainting by adopting an internal learning strategy. We show that this can be achieved implicitly by fitting a convolutional neural network to the known region. We extend the proposed method to another challenging task: learning to remove an object from a video giving a single object mask in only one frame in a 4K video.
• Score: 39.89676105875726
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: We propose a novel framework for video inpainting by adopting an internal learning strategy. Unlike previous methods that use optical flow for cross-frame context propagation to inpaint unknown regions, we show that this can be achieved implicitly by fitting a convolutional neural network to the known region. Moreover, to handle challenging sequences with ambiguous backgrounds or long-term occlusion, we design two regularization terms to preserve high-frequency details and long-term temporal consistency. Extensive experiments on the DAVIS dataset demonstrate that the proposed method achieves state-of-the-art inpainting quality quantitatively and qualitatively. We further extend the proposed method to another challenging task: learning to remove an object from a video giving a single object mask in only one frame in a 4K video.

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