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Deep variational autoencoders for image and video compression have gained significant attraction in the recent years, due to their potential to offer competitive or better compression rates compared to the decades long traditional codecs such as AVC, HEVC or VVC.
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“Implicit neural representations for image compression,”
Yannick Strümpler, Janis Postels, Ren Yang, Luc Van Gool, and Federico Tombari, · 2021
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Hao Chen, Bo He, Hanyu Wang, Yixuan Ren, Ser Nam Lim, and Abhinav Shrivastava, · 2021
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Accessed: 2022-11-04
“Fvcore,” https://github.com/facebookresearch/fvcore , · 2022
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