Cover Image

COMPASS: High-Efficiency Deep Image Compression with Arbitrary-scale Spatial Scalability

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Park, Jongmin, Lee, Jooyoung, Kim, Munchurl
Format:	Preprint
Published:	2023
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

C-DiffSET: Leveraging Latent Diffusion for SAR-to-EO Image Translation with Confidence-Guided Reliable Object Generation
by: Do, Jeonghyeok, et al.
Published: (2024)

U-Know-DiffPAN: An Uncertainty-aware Knowledge Distillation Diffusion Framework with Details Enhancement for PAN-Sharpening
by: Kim, Sungpyo, et al.
Published: (2024)

DeepFGS: Fine-Grained Scalable Coding for Learned Image Compression
by: Zhai, Yongqi, et al.
Published: (2024)

Progressive Learned Image Compression for Machine Perception
by: Kim, Jungwoo, et al.
Published: (2025)

Coarse-to-Fine: Progressive Image Compression for Semantically Hierarchical Classification
by: Kim, Jungwoo, et al.
Published: (2026)

Single-step Diffusion for Image Compression at Ultra-Low Bitrates
by: Park, Chanung, et al.
Published: (2025)

Aberration Correcting Vision Transformers for High-Fidelity Metalens Imaging
by: Lee, Byeonghyeon, et al.
Published: (2024)

Compressing Deep Image Super-resolution Models
by: Jiang, Yuxuan, et al.
Published: (2023)

Customizable ROI-Based Deep Image Compression
by: Jin, Jian, et al.
Published: (2025)

High-Efficiency Neural Video Compression via Hierarchical Predictive Learning
by: Lu, Ming, et al.
Published: (2024)

Improving Editability in Image Generation with Layer-wise Memory
by: Kim, Daneul, et al.
Published: (2025)

Joint Hierarchical Priors and Adaptive Spatial Resolution for Efficient Neural Image Compression
by: Ghorbel, Ahmed, et al.
Published: (2023)

Lightweight and Fast Real-time Image Enhancement via Decomposition of the Spatial-aware Lookup Tables
by: Kim, Wontae, et al.
Published: (2025)

Multi-Scale Feature Prediction with Auxiliary-Info for Neural Image Compression
by: Shin, Chajin, et al.
Published: (2024)

Scalable Human-Machine Point Cloud Compression
by: Ulhaq, Mateen, et al.
Published: (2024)

Generalized and Efficient 2D Gaussian Splatting for Arbitrary-scale Super-Resolution
by: Chen, Du, et al.
Published: (2025)

Neural Network Assisted Lifting Steps For Improved Fully Scalable Lossy Image Compression in JPEG 2000
by: Li, Xinyue, et al.
Published: (2024)

Adaptive Latent Diffusion Model for 3D Medical Image to Image Translation: Multi-modal Magnetic Resonance Imaging Study
by: Kim, Jonghun, et al.
Published: (2023)

High Quality Underwater Image Compression with Adaptive Color Correction
by: Zhou, Yimin, et al.
Published: (2025)

Latent Diffusion Prior Enhanced Deep Unfolding for Snapshot Spectral Compressive Imaging
by: Wu, Zongliang, et al.
Published: (2023)

The Effect of Lossy Compression on 3D Medical Images Segmentation with Deep Learning
by: Kurmukov, Anvar, et al.
Published: (2024)

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

Deep Network for Image Compressed Sensing Coding Using Local Structural Sampling
by: Cui, Wenxue, et al.
Published: (2024)

Linear Algebraic Approaches to Neuroimaging Data Compression: A Comparative Analysis of Matrix and Tensor Decomposition Methods for High-Dimensional Medical Images
by: Kim, Jaeho, et al.
Published: (2025)

iHDR: Iterative HDR Imaging with Arbitrary Number of Exposures
by: Yuan, Yu, et al.
Published: (2025)

High Frequency Matters: Uncertainty Guided Image Compression with Wavelet Diffusion
by: Song, Juan, et al.
Published: (2024)

Deep Lossless Image Compression via Masked Sampling and Coarse-to-Fine Auto-Regression
by: Li, Tiantian, et al.
Published: (2025)

WTDUN: Wavelet Tree-Structured Sampling and Deep Unfolding Network for Image Compressed Sensing
by: Han, Kai, et al.
Published: (2024)

Good, Cheap, and Fast: Overfitted Image Compression with Wasserstein Distortion
by: Ballé, Jona, et al.
Published: (2024)

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

Name Your Style: An Arbitrary Artist-aware Image Style Transfer
by: Liu, Zhi-Song, et al.
Published: (2022)

Releasing the Parameter Latency of Neural Representation for High-Efficiency Video Compression
by: Zhang, Gai, et al.
Published: (2024)

Semantic Ensemble Loss and Latent Refinement for High-Fidelity Neural Image Compression
by: Li, Daxin, et al.
Published: (2024)

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

MambaIC: State Space Models for High-Performance Learned Image Compression
by: Zeng, Fanhu, et al.
Published: (2025)

Subjective Visual Quality Assessment for High-Fidelity Learning-Based Image Compression
by: Jenadeleh, Mohsen, et al.
Published: (2025)

Single Image Compressed Sensing MRI via a Self-Supervised Deep Denoising Approach
by: Lorenzana, Marlon Bran, et al.
Published: (2023)

Dynamic Kernel-Based Adaptive Spatial Aggregation for Learned Image Compression
by: Wang, Huairui, et al.
Published: (2023)

Practical Compact Deep Compressed Sensing
by: Chen, Bin, et al.
Published: (2024)

Learning Arbitrary-Scale RAW Image Downscaling with Wavelet-based Recurrent Reconstruction
by: Ren, Yang, et al.
Published: (2025)