4 papers
Blind Quality Enhancement for G-PCC Compressed Dynamic Point Clouds
Tian Guo, Hui Yuan, Chang Sun +3
Point cloud compression often introduces noticeable reconstruction artifacts, which makes quality enhancement necessary. Existing approaches typically assume prior knowledge of the…
MetricGrids: Arbitrary Nonlinear Approximation with Elementary Metric Grids based Implicit Neural Representation
Shu Wang, Yanbo Gao, Shuai Li +5
This paper presents MetricGrids, a novel grid-based neural representation that combines elementary metric grids in various metric spaces to approximate complex nonlinear signals. W…
Interleaved Block-based Learned Image Compression with Feature Enhancement and Quantization Error Compensation
Shiqi Jiang, Hui Yuan, Shuai Li +3
In recent years, learned image compression (LIC) methods have achieved significant performance improvements. However, obtaining a more compact latent representation and reducing th…
FD-LSCIC: Frequency Decomposition-based Learned Screen Content Image Compression
Shiqi Jiang, Hui Yuan, Shuai Li +2
The learned image compression (LIC) methods have already surpassed traditional techniques in compressing natural scene (NS) images. However, directly applying these methods to scre…