Corpus ID: 236428590

Self-Conditioned Probabilistic Learning of Video Rescaling

@article{Tian2021SelfConditionedPL,
  title={Self-Conditioned Probabilistic Learning of Video Rescaling},
  author={Yuan Tian and Guo Lu and Xiongkuo Min and Zhaohui Che and Guangtao Zhai and Guodong Guo and Zhiyong Gao},
  journal={ArXiv},
  year={2021},
  volume={abs/2107.11639}
}
  • Yuan Tian, Guo Lu, +4 authors Zhiyong Gao
  • Published 2021
  • Computer Science
  • ArXiv
Bicubic downscaling is a prevalent technique used to reduce the video storage burden or to accelerate the downstream processing speed. However, the inverse upscaling step is non-trivial, and the downscaled video may also deteriorate the performance of downstream tasks. In this paper, we propose a self-conditioned probabilistic framework for video rescaling to learn the paired downscaling and upscaling procedures simultaneously. During the training, we decrease the entropy of the information… Expand
1 Citations
Deep Learning for Visual Data Compression
  • Guo Lu, Ren Yang, Shenlong Wang, Shan Liu, R. Timofte
  • Computer Science
  • ACM Multimedia
  • 2021
TLDR
The recent progress in deep learning based visual data compression, including image compression, video compression and point cloud compression is introduced. Expand

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