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High Visual-Fidelity Learned Video Compression
With the growing demand for video applications, many advanced learned video compression methods have been developed, outperforming traditional methods in terms of objective quality metrics such as PSNR.
AlphaVC: High-Performance and Efficient Learned Video Compression
With these powerful techniques, this paper proposes AlphaVC, a high-performance and efficient learned video compression scheme.
Content-oriented learned image compression
In recent years, with the development of deep neural networks, end-to-end optimized image compression has made significant progress and exceeded the classic methods in terms of rate-distortion performance.
Hierarchical Image Compression Framework
In learning-based image compression approaches, compression models are based on variational autoencoder(VAE) framework and optimized by a rate-distortion objective function, which achieve better performance than hybrid codecs.
