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Image Compression
Image Compression On Kodak
Image Compression On Kodak
Metrics
BD-Rate over VTM-17.0
Results
Performance results of various models on this benchmark
Columns
Model Name
BD-Rate over VTM-17.0
Paper Title
Repository
WACNN
-2.95
The Devil Is in the Details: Window-based Attention for Image Compression
MLIC+
-11.39
MLIC: Multi-Reference Entropy Model for Learned Image Compression
ELIC
-5.95
ELIC: Efficient Learned Image Compression with Unevenly Grouped Space-Channel Contextual Adaptive Coding
SegPIC
-8.18
Region-Adaptive Transform with Segmentation Prior for Image Compression
MLIC++
-13.39
MLIC++: Linear Complexity Multi-Reference Entropy Modeling for Learned Image Compression
LIC-TCM Large
-10.14
Learned Image Compression with Mixed Transformer-CNN Architectures
STF
-2.48
The Devil Is in the Details: Window-based Attention for Image Compression
MLIC
-8.05
MLIC: Multi-Reference Entropy Model for Learned Image Compression
0 of 8 row(s) selected.
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