Cover Image

Multi-Scale Feature Prediction with Auxiliary-Info for Neural Image Compression

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Shin, Chajin, Lee, Sangjin, Lee, Sangyoun
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

Neural Video Compression with Feature Modulation
by: Li, Jiahao, 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)

COMPASS: High-Efficiency Deep Image Compression with Arbitrary-scale Spatial Scalability
by: Park, Jongmin, et al.
Published: (2023)

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

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

FIPER: Factorized Features for Robust Image Super-Resolution and Compression
by: Sun, Yang-Che, et al.
Published: (2024)

Stereo Image Coding for Machines with Joint Visual Feature Compression
by: Jin, Dengchao, et al.
Published: (2025)

Keyed Nonlinear Transform: Lightweight Privacy-Enhancing Feature Sharing for Medical Image Analysis
by: Lee, Haebom, et al.
Published: (2026)

Compressive Feature Selection for Remote Visual Multi-Task Inference
by: Alvar, Saeed Ranjbar, et al.
Published: (2024)

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

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

Towards Extreme Image Compression with Latent Feature Guidance and Diffusion Prior
by: Li, Zhiyuan, et al.
Published: (2024)

Generative Image Compression by Estimating Gradients of the Rate-variable Feature Distribution
by: Han, Minghao, et al.
Published: (2025)

ASC: Adaptive Scale Feature Map Compression for Deep Neural Network
by: Yao, Yuan, et al.
Published: (2023)

Multi-Scale Feature Fusion with Image-Driven Spatial Integration for Left Atrium Segmentation from Cardiac MRI Images
by: Kundu, Bipasha, et al.
Published: (2025)

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)

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

Subjective and Objective Quality Evaluation of Super-Resolution Enhanced Broadcast Images on a Novel SR-IQA Dataset
by: Kim, Yongrok, et al.
Published: (2024)

MS-IQA: A Multi-Scale Feature Fusion Network for PET/CT Image Quality Assessment
by: Li, Siqiao, et al.
Published: (2025)

MSNeRV: Neural Video Representation with Multi-Scale Feature Fusion
by: Zhu, Jun, et al.
Published: (2025)

Knee Osteoarthritis Severity Prediction using an Attentive Multi-Scale Deep Convolutional Neural Network
by: Jain, Rohit Kumar, et al.
Published: (2021)

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

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

Probabilistic-based Feature Embedding of 4-D Light Fields for Compressive Imaging and Denoising
by: Lyu, Xianqiang, et al.
Published: (2023)

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

Computational Imaging for Long-Term Prediction of Solar Irradiance
by: Julian, Leron, et al.
Published: (2024)

MLIC: Multi-Reference Entropy Model for Learned Image Compression
by: Jiang, Wei, et al.
Published: (2022)

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

Learning Optimal Lattice Vector Quantizers for End-to-end Neural Image Compression
by: Zhang, Xi, et al.
Published: (2024)

SCINeRF: Neural Radiance Fields from a Snapshot Compressive Image
by: Li, Yunhao, et al.
Published: (2024)

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

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

Curriculum Fine-tuning of Vision Foundation Model for Medical Image Classification Under Label Noise
by: Yu, Yeonguk, et al.
Published: (2024)

Compression of Large-Scale 3D Point Clouds Based on Joint Optimization of Point Sampling and Feature Extraction
by: Yim, Jae-Young, et al.
Published: (2024)

UniMIC: Towards Universal Multi-modality Perceptual Image Compression
by: Gao, Yixin, et al.
Published: (2024)

Improving Lung Cancer Diagnosis and Survival Prediction with Deep Learning and CT Imaging
by: Wang, Xiawei, et al.
Published: (2024)

Auxiliary Input in Training: Incorporating Catheter Features into Deep Learning Models for ECG-Free Dynamic Coronary Roadmapping
by: Liu, Yikang, et al.
Published: (2024)