Cover Image

Learning Optimal Lattice Vector Quantizers for End-to-end Neural Image Compression

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Zhang, Xi, Wu, Xiaolin
Format:	Preprint
Published:	2024
Subjects:	Image and Video Processing Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

FLLIC: Functionally Lossless Image Compression
by: Zhang, Xi, et al.
Published: (2024)

Learning Hierarchical Sparse Transform Coding for 3DGS Compression
by: Xu, Hao, et al.
Published: (2025)

Anisotropic Pooling for LUT-realizable CNN Image Restoration
by: Zhang, Xi, et al.
Published: (2025)

Fast Point Cloud Geometry Compression with Context-based Residual Coding and INR-based Refinement
by: Xu, Hao, et al.
Published: (2024)

LVPNet: A Latent-variable-based Prediction-driven End-to-end Framework for Lossless Compression of Medical Images
by: Song, Chenyue, et al.
Published: (2025)

GANCompress: GAN-Enhanced Neural Image Compression with Binary Spherical Quantization
by: Sivakoti, Karthik
Published: (2025)

DynaQuant: Dynamic Mixed-Precision Quantization for Learned Image Compression
by: Bao, Youneng, et al.
Published: (2025)

End-to-End Semantic Preservation in Text-Aware Image Compression Systems
by: Della Fiore, Stefano, et al.
Published: (2025)

Variable-Rate Learned Image Compression with Multi-Objective Optimization and Quantization-Reconstruction Offsets
by: Kamisli, Fatih, et al.
Published: (2024)

Interleaved Block-based Learned Image Compression with Feature Enhancement and Quantization Error Compensation
by: Jiang, Shiqi, et al.
Published: (2025)

Learned HDR Image Compression for Perceptually Optimal Storage and Display
by: Cao, Peibei, et al.
Published: (2024)

Perceptual Learned Image Compression via End-to-End JND-Based Optimization
by: Pakdaman, Farhad, et al.
Published: (2024)

Residual Learning and Filtering Networks for End-to-End Lossless Video Compression
by: Islam, Md baharul, et al.
Published: (2025)

Deep Lossy Plus Residual Coding for Lossless and Near-lossless Image Compression
by: Bai, Yuanchao, et al.
Published: (2022)

Accelerating Learned Image Compression Through Modeling Neural Training Dynamics
by: Zhang, Yichi, et al.
Published: (2025)

SQ-GAN: Semantic Image Communications Using Masked Vector Quantization
by: Pezone, Francesco, et al.
Published: (2025)

End-to-end Cortical Surface Reconstruction from Clinical Magnetic Resonance Images
by: Nielsen, Jesper Duemose, et al.
Published: (2025)

Approximately Invertible Neural Network for Learned Image Compression
by: Gao, Yanbo, et al.
Published: (2024)

Point Cloud-Assisted Neural Image Compression
by: Li, Ziqun, et al.
Published: (2024)

Bits-to-Photon: End-to-End Learned Scalable Point Cloud Compression for Direct Rendering
by: Hu, Yueyu, et al.
Published: (2024)

Super-High-Fidelity Image Compression via Hierarchical-ROI and Adaptive Quantization
by: Luo, Jixiang, et al.
Published: (2024)

Non-Adversarial Learning: Vector-Quantized Common Latent Space for Multi-Sequence MRI
by: Han, Luyi, et al.
Published: (2024)

Joint End-to-End Image Compression and Denoising: Leveraging Contrastive Learning and Multi-Scale Self-ONNs
by: Xie, Yuxin, et al.
Published: (2024)

Viewport-based Neural 360° Image Compression
by: Liao, Jingwei, et al.
Published: (2026)

End-to-End RGB-IR Joint Image Compression With Channel-wise Cross-modality Entropy Model
by: Wang, Haofeng, et al.
Published: (2025)

Generalized Gaussian Model for Learned Image Compression
by: Zhang, Haotian, et al.
Published: (2024)

SEDD-PCC: A Single Encoder-Dual Decoder Framework For End-To-End Learned Point Cloud Compression
by: Hsieh, Kai Hsiang, et al.
Published: (2025)

Few-Shot Domain Adaptation for Learned Image Compression
by: Zhang, Tianyu, et al.
Published: (2024)

Color Learning for Image Compression
by: Prativadibhayankaram, Srivatsa, et al.
Published: (2023)

CMamba: Learned Image Compression with State Space Models
by: Wu, Zhuojie, et al.
Published: (2025)

FCNR: Fast Compressive Neural Representation of Visualization Images
by: Lu, Yunfei, et al.
Published: (2024)

RobSurv: Vector Quantization-Based Multi-Modal Learning for Robust Cancer Survival Prediction
by: Farooq, Aiman, et al.
Published: (2025)

Balanced Rate-Distortion Optimization in Learned Image Compression
by: Zhang, Yichi, et al.
Published: (2025)

Sparse Point Clouds Assisted Learned Image Compression
by: Jiang, Yiheng, et al.
Published: (2024)

Robust Residual Finite Scalar Quantization for Neural Compression
by: Zhu, Xiaoxu, et al.
Published: (2025)

Controllable Distortion-Perception Tradeoff Through Latent Diffusion for Neural Image Compression
by: Zhou, Chuqin, et al.
Published: (2024)

Rate-Distortion-Cognition Controllable Versatile Neural Image Compression
by: Liu, Jinming, et al.
Published: (2024)

Unicorn: Unified Neural Image Compression with One Number Reconstruction
by: Zheng, Qi, et al.
Published: (2024)

Embodied Image Compression
by: Li, Chunyi, et al.
Published: (2025)

LensNet: An End-to-End Learning Framework for Empirical Point Spread Function Modeling and Lensless Imaging Reconstruction
by: Bai, Jiesong, et al.
Published: (2025)