Abstract: Over-fitting-based image compression requires weights compactness for compression and fast convergence for practical use, posing challenges for ...
Oct 12, 2023 · FREQUENCY-AWARE RE-PARAMETERIZATION FOR OVER-FITTING BASED IMAGE ... Over-fitting-based image compression requires weights com- pactness ...
Jan 11, 2024 · In this paper, a low-complexity quantization table is proposed for the baseline JPEG encoder.The proposed scheme does not require any ...
Jan 3, 2023 · Abstract:Spatial frequency analysis and transforms serve a central role in most engineered image and video lossy codecs, but are rarely ...
Oct 11, 2023 · Over-fitting-based image compression requires weights compactness for compression and fast convergence for practical use, posing challenges ...
Over-fitting-based image compression requires weights compactness forcompression and fast convergence for practical use, posing challenges for ...
Frequency-Aware Re-Parameterization for Over-Fitting Based Image Compression ... Over-fitting-based image compression requires weights compactness for compression ...
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Frequency-Aware Re-parameterization for Over-fitting Based Image Compression ; Session: MP1.PC: Machine Learning for Image and Video Communications Poster ; Track ...
Jan 16, 2024 · Learned image compression (LIC) has gained traction as an effective solution for image storage and transmission in recent years.
Missing: Re- Parameterization Over- Fitting
MP1.PC.10: Frequency-Aware Re-parameterization for Over-fitting Based Image Compression ... MP1.PC.11: FREQUENCY DISENTANGLED FEATURES IN NEURAL IMAGE COMPRESSION.