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Review — Zhu TMM’20: Generative Adversarial Network-Based Intra Prediction for Video Coding…

March 6, 2021 by systems

Inpainting Using GAN for HEVC Intra Coding, Outperforms IPFCN.

Sik-Ho Tsang

In this story, Generative Adversarial Network-Based Intra Prediction for Video Coding, (Zhu TMM’20), by Chinese Academy of Sciences, City University of Hong Kong, City University of Hong Kong Shenzhen Institute, and Shenzhen University. In this paper:

  • GAN is used to fill in the missing part by conditioning on the available reconstructed pixels for intra prediction in HEVC and VVC.
  • This GAN inpainting is used as a intra coding prediction competing with the conventional intra prediction.

This is a paper in 2020 TMM. (Sik-Ho Tsang @ Medium)

Filed Under: Artificial Intelligence

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