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LVQAC: Lattice Vector Quantization Coupled with Spatially Adaptive
  Companding for Efficient Learned Image Compression

LVQAC: Lattice Vector Quantization Coupled with Spatially Adaptive Companding for Efficient Learned Image Compression

25 March 2023
Xi Zhang
Xiaolin Wu
    MQ
ArXivPDFHTML

Papers citing "LVQAC: Lattice Vector Quantization Coupled with Spatially Adaptive Companding for Efficient Learned Image Compression"

4 / 4 papers shown
Title
Balanced Rate-Distortion Optimization in Learned Image Compression
Balanced Rate-Distortion Optimization in Learned Image Compression
Yichi Zhang
Z. Duan
Yuning Huang
F. Zhu
39
1
0
27 Feb 2025
An Information-Theoretic Regularizer for Lossy Neural Image Compression
An Information-Theoretic Regularizer for Lossy Neural Image Compression
Y. Zhang
Meng Wang
Xihua Sheng
Peilin Chen
Junru Li
Li Zhang
S. Wang
182
0
0
23 Nov 2024
Fast Point Cloud Geometry Compression with Context-based Residual Coding
  and INR-based Refinement
Fast Point Cloud Geometry Compression with Context-based Residual Coding and INR-based Refinement
Hao Xu
Xi Zhang
Xiaolin Wu
3DPC
34
1
0
06 Aug 2024
LL-VQ-VAE: Learnable Lattice Vector-Quantization For Efficient
  Representations
LL-VQ-VAE: Learnable Lattice Vector-Quantization For Efficient Representations
Ahmed Khalil
Robert Piechocki
Raúl Santos-Rodríguez
15
2
0
13 Oct 2023
1