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stat.AP2025
SELIC: Semantic-Enhanced Learned Image Compression via High-Level Textual Guidance
Haisheng Fu, Jie Liang, Zhenman Fang +1
Learned image compression (LIC) techniques have achieved remarkable progress; however, effectively integrating high-level semantic information remains challenging. In this work, we…
stat.AP2024
WeConvene: Learned Image Compression with Wavelet-Domain Convolution and Entropy Model
Haisheng Fu, Jie Liang, Zhenman Fang +3
Recently learned image compression (LIC) has achieved great progress and even outperformed the traditional approach using DCT or discrete wavelet transform (DWT). However, LIC main…
stat.AP2024
Learned Image Compression with Dual-Branch Encoder and Conditional Information Coding
Haisheng Fu, Feng Liang, Jie Liang +3
Recent advancements in deep learning-based image compression are notable. However, prevalent schemes that employ a serial context-adaptive entropy model to enhance rate-distortion…