Cover Image

Image Compression Using Singular Value Decomposition

Fuente: arXiv

Saved in:

Bibliographic Details
Main Author:	Jiang, Justin
Format:	Preprint
Published:	2025
Subjects:	Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Flattening Singular Values of Factorized Convolution for Medical Images
by: Feng, Zexin, et al.
Published: (2024)

Dextr: Zero-Shot Neural Architecture Search with Singular Value Decomposition and Extrinsic Curvature
by: Asthana, Rohan, et al.
Published: (2025)

Spectral Compressive Imaging via Chromaticity-Intensity Decomposition
by: Wang, Xiaodong, et al.
Published: (2025)

AdaSVD: Adaptive Singular Value Decomposition for Large Language Models
by: Li, Zhiteng, et al.
Published: (2025)

Using Singular Value Decomposition in a Convolutional Neural Network to Improve Brain Tumor Segmentation Accuracy
by: Ahadian, Pegah, et al.
Published: (2024)

Convolutional Neural Network Compression Based on Low-Rank Decomposition
by: He, Yaping, et al.
Published: (2024)

Singular Value Scaling: Efficient Generative Model Compression via Pruned Weights Refinement
by: Kim, Hyeonjin, et al.
Published: (2024)

Probing Image Compression For Class-Incremental Learning
by: Yang, Justin, et al.
Published: (2024)

Head-Aware Key-Value Compression for Efficient Autoregressive Image Generation
by: Liang, Guotao, et al.
Published: (2026)

UniHPR: Unified Human Pose Representation via Singular Value Contrastive Learning
by: Jiang, Zhongyu, et al.
Published: (2025)

Intrinsic Image Decomposition Using Point Cloud Representation
by: Xing, Xiaoyan, et al.
Published: (2023)

FD-LSCIC: Frequency Decomposition-based Learned Screen Content Image Compression
by: Jiang, Shiqi, et al.
Published: (2025)

A Comparative Analysis of Principal Component Analysis (PCA) and Singular Value Decomposition (SVD) as Dimensionality Reduction Techniques
by: Gyimadu, Michael, et al.
Published: (2025)

CompressNAS : A Fast and Efficient Technique for Model Compression using Decomposition
by: Sah, Sudhakar, et al.
Published: (2025)

From Weights to Concepts: Data-Free Interpretability of CLIP via Singular Vector Decomposition
by: Gentile, Francesco, et al.
Published: (2026)

LoRA-PT: Low-Rank Adapting UNETR for Hippocampus Segmentation Using Principal Tensor Singular Values and Vectors
by: He, Guanghua, et al.
Published: (2024)

Singular Value Fine-tuning for Few-Shot Class-Incremental Learning
by: Wang, Zhiwu, et al.
Published: (2025)

Addressing Vulnerabilities in AI-Image Detection: Challenges and Proposed Solutions
by: Jiang, Justin
Published: (2024)

Hierarchical Semantic Compression for Consistent Image Semantic Restoration
by: Li, Shengxi, et al.
Published: (2025)

Saliency Driven Imagery Preprocessing for Efficient Compression -- Industrial Paper
by: Downes, Justin, et al.
Published: (2026)

Fusion from Decomposition: A Self-Supervised Approach for Image Fusion and Beyond
by: Liang, Pengwei, et al.
Published: (2024)

Image Classification Using Singular Value Decomposition and Optimization
by: Yepes, Isabela M., et al.
Published: (2024)

Accelerating Diffusion Transformer via Increment-Calibrated Caching with Channel-Aware Singular Value Decomposition
by: Chen, Zhiyuan, et al.
Published: (2025)

Robust Salient Object Detection on Compressed Images Using Convolutional Neural Networks
by: Liao, Guibiao, et al.
Published: (2024)

SoMA: Singular Value Decomposed Minor Components Adaptation for Domain Generalizable Representation Learning
by: Yun, Seokju, et al.
Published: (2024)

Score-Based Turbo Message Passing for Plug-and-Play Compressive Imaging
by: Cai, Chang, et al.
Published: (2025)

CLIP-SVD: Efficient and Interpretable Vision-Language Adaptation via Singular Values
by: Koleilat, Taha, et al.
Published: (2025)

Differentiable Vector Quantization for Rate-Distortion Optimization of Generative Image Compression
by: Jiang, Shiyin, et al.
Published: (2026)

Diffusion Model Compression for Image-to-Image Translation
by: Kim, Geonung, et al.
Published: (2024)

From Inpainting to Layer Decomposition: Repurposing Generative Inpainting Models for Image Layer Decomposition
by: Chen, Jingxi, et al.
Published: (2025)

HDW-SR: High-Frequency Guided Diffusion Model based on Wavelet Decomposition for Image Super-Resolution
by: Yang, Chao, et al.
Published: (2025)

Cycle-Consistent Tuning for Layered Image Decomposition
by: Gu, Zheng, et al.
Published: (2026)

Generative Image Layer Decomposition with Visual Effects
by: Yang, Jinrui, et al.
Published: (2024)

Colorful Diffuse Intrinsic Image Decomposition in the Wild
by: Careaga, Chris, et al.
Published: (2024)

Learning in the Null Space: Small Singular Values for Continual Learning
by: Pham, Cuong Anh, et al.
Published: (2026)

QRetinex-Net: Quaternion-Valued Retinex Decomposition for Low-Level Computer Vision Applications
by: Agaian, Sos, et al.
Published: (2025)

SSI-DM: Singularity Skipping Inversion of Diffusion Models
by: Min, Chen, et al.
Published: (2026)

D-CoDe: Scaling Image-Pretrained VLMs to Video via Dynamic Compression and Question Decomposition
by: Huang, Yiyang, et al.
Published: (2025)

Using Powerful Prior Knowledge of Diffusion Model in Deep Unfolding Networks for Image Compressive Sensing
by: Liao, Chen, et al.
Published: (2025)

A Compact Hybrid Convolution--Frequency State Space Network for Learned Image Compression
by: Pan, Haodong, et al.
Published: (2025)