3 papers
cs.CV2025
3DM-WeConvene: Learned Image Compression with 3D Multi-Level Wavelet-Domain Convolution and Entropy Model
Haisheng Fu, Jie Liang, Feng Liang +3
Learned image compression (LIC) has recently made significant progress, surpassing traditional methods. However, most LIC approaches operate mainly in the spatial domain and lack m…
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…
cs.CV2025
FEDS: Feature and Entropy-Based Distillation Strategy for Efficient Learned Image Compression
Haisheng Fu, Jie Liang, Zhenman Fang +1
Learned image compression (LIC) methods have recently outperformed traditional codecs such as VVC in rate-distortion performance. However, their large models and high computational…