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20232026
most citedFast and High-Performance Learned Image Compression With Improved Checkerboard Context Model, Deformable Residual Module, and Knowledge Distillation

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eess.IV2023★ 1 cited

Fast and High-Performance Learned Image Compression With Improved Checkerboard Context Model, Deformable Residual Module, and Knowledge Distillation

Haisheng Fu, Feng Liang, Jie Liang +3

Deep learning-based image compression has made great progresses recently. However, many leading schemes use serial context-adaptive entropy model to improve the rate-distortion (R-…

eess.IV2023

Enhanced Residual SwinV2 Transformer for Learned Image Compression

Yongqiang Wang, Feng Liang, Haisheng Fu +3

Recently, the deep learning technology has been successfully applied in the field of image compression, leading to superior rate-distortion performance. However, a challenge of man…