Oct 8, 2022 · In this paper, we introduce a powerful and flexible LIC framework with multi-scale progressive (MSP) probability model and latent representation overfitting ( ...
A powerful and flexible LIC framework with multi-scale progressive (MSP) probability model and latent representation overfitting (LOF) technique is introduced ...
Oct 8, 2022 · With different predefined profiles, the proposed framework can achieve various balance points between compression efficiency and computational ...
Leveraging progressive model and overfitting for efficient learned image compression. Honglei Zhang, Francesco Cricri, Hamed Rezazadegan Tavakoli, Emre Aksu ...
With different predefined profiles, the proposed framework can achieve various balance points between compression efficiency and computational complexity.
Bibliographic details on Leveraging progressive model and overfitting for efficient learned image compression.
Leveraging progressive model and overfitting for efficient learned image compression ... Nevertheless, the proposed LIC systems are still inferior to the state-of ...
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Leveraging progressive model and overfitting for efficient learned image compression. Honglei Zhang, Francesco Cricri, H. R. Tavakoli, Emre B. Aksu, M ...
Leveraging progressive model and overfitting for efficient learned image compression · no code implementations • 8 Oct 2022 • Honglei Zhang, Francesco Cricri ...
Leveraging progressive model and overfitting for efficient learned image compression ... Coarse-to-Fine Hyper-Prior Modeling for Learned Image Compression.