• Corpus ID: 233231721

Decoupled Spatial-Temporal Transformer for Video Inpainting

@article{Liu2021DecoupledST,
  title={Decoupled Spatial-Temporal Transformer for Video Inpainting},
  author={R. Liu and Hanming Deng and Yangyi Huang and Xiaoyu Shi and Lewei Lu and Wenxiu Sun and Xiaogang Wang and Jifeng Dai and Hongsheng Li},
  journal={ArXiv},
  year={2021},
  volume={abs/2104.06637}
}
Video inpainting aims to fill the given spatiotemporal holes with realistic appearance but is still a challenging task even with prosperous deep learning approaches. Recent works introduce the promising Transformer architecture into deep video inpainting and achieve better performance. However, it still suffers from synthesizing blurry texture as well as huge computational cost. Towards this end, we propose a novel Decoupled Spatial-Temporal Transformer (DSTT) for improving video inpainting… 

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