Image de couverture de livre

Transformations in Learned Image Compression from a Modulation Perspective

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Bao, Youneng, Meng, Fangyang, Tan, Wen, Li, Chao, Tian, Yonghong, Liang, Yongsheng
Format:	Preprint
Publié:	2022
Sujets:	Image and Video Processing Artificial Intelligence Computer Vision and Pattern Recognition
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

DynaQuant: Dynamic Mixed-Precision Quantization for Learned Image Compression
par: Bao, Youneng, et autres
Publié: (2025)

ShiftLIC: Lightweight Learned Image Compression with Spatial-Channel Shift Operations
par: Bao, Youneng, et autres
Publié: (2025)

Sensitivity Decouple Learning for Image Compression Artifacts Reduction
par: Ma, Li, et autres
Publié: (2024)

Boosting ViT-based MRI Reconstruction from the Perspectives of Frequency Modulation, Spatial Purification, and Scale Diversification
par: Meng, Yucong, et autres
Publié: (2024)

Enhancing Adversarial Training with Prior Knowledge Distillation for Robust Image Compression
par: Cao, Zhi, et autres
Publié: (2024)

Learned Image Compression with Gaussian-Laplacian-Logistic Mixture Model and Concatenated Residual Modules
par: Fu, Haisheng, et autres
Publié: (2021)

Continuous K-space Recovery Network with Image Guidance for Fast MRI Reconstruction
par: Meng, Yucong, et autres
Publié: (2024)

Frequency-Aware Transformer for Learned Image Compression
par: Li, Han, et autres
Publié: (2023)

Fourier-Modulated Implicit Neural Representation for Multispectral Satellite Image Compression
par: Cho, Woojin, et autres
Publié: (2025)

On Disentangled Training for Nonlinear Transform in Learned Image Compression
par: Li, Han, et autres
Publié: (2025)

Block Modulating Video Compression: An Ultra Low Complexity Image Compression Encoder for Resource Limited Platforms
par: Zheng, Siming, et autres
Publié: (2022)

CMT: Cross Modulation Transformer with Hybrid Loss for Pansharpening
par: Shu, Wen-Jie, et autres
Publié: (2024)

Traditional Transformation Theory Guided Model for Learned Image Compression
par: Li, Zhiyuan, et autres
Publié: (2024)

CALLIC: Content Adaptive Learning for Lossless Image Compression
par: Li, Daxin, et autres
Publié: (2024)

Approximately Invertible Neural Network for Learned Image Compression
par: Gao, Yanbo, et autres
Publié: (2024)

CAMSIC: Content-aware Masked Image Modeling Transformer for Stereo Image Compression
par: Zhang, Xinjie, et autres
Publié: (2024)

Uncovering the Over-smoothing Challenge in Image Super-Resolution: Entropy-based Quantification and Contrastive Optimization
par: Xu, Tianshuo, et autres
Publié: (2022)

Region-Adaptive Transform with Segmentation Prior for Image Compression
par: Liu, Yuxi, et autres
Publié: (2024)

Embodied Image Compression
par: Li, Chunyi, et autres
Publié: (2025)

Color Learning for Image Compression
par: Prativadibhayankaram, Srivatsa, et autres
Publié: (2023)

S2CFormer: Revisiting the RD-Latency Trade-off in Transformer-based Learned Image Compression
par: Chen, Yunuo, et autres
Publié: (2025)

DiT-IC: Aligned Diffusion Transformer for Efficient Image Compression
par: Shi, Junqi, et autres
Publié: (2026)

Ultra Lowrate Image Compression with Semantic Residual Coding and Compression-aware Diffusion
par: Ke, Anle, et autres
Publié: (2025)

3D Point Cloud Compression with Recurrent Neural Network and Image Compression Methods
par: Beemelmanns, Till, et autres
Publié: (2024)

Frequent Pattern Mining approach to Image Compression
par: Kadimisetty, Avinash, et autres
Publié: (2026)

GroupedMixer: An Entropy Model with Group-wise Token-Mixers for Learned Image Compression
par: Li, Daxin, et autres
Publié: (2024)

HyCoT: A Transformer-Based Autoencoder for Hyperspectral Image Compression
par: Fuchs, Martin Hermann Paul, et autres
Publié: (2024)

Powerful Lossy Compression for Noisy Images
par: Cai, Shilv, et autres
Publié: (2024)

Neural Video Compression with Feature Modulation
par: Li, Jiahao, et autres
Publié: (2024)

Neural Video Compression with Context Modulation
par: Tang, Chuanbo, et autres
Publié: (2025)

Progressive Learned Image Compression for Machine Perception
par: Kim, Jungwoo, et autres
Publié: (2025)

Generalized Gaussian Model for Learned Image Compression
par: Zhang, Haotian, et autres
Publié: (2024)

Customizable ROI-Based Deep Image Compression
par: Jin, Jian, et autres
Publié: (2025)

Leveraging Pre-trained Models for FF-to-FFPE Histopathological Image Translation
par: Zhang, Qilai, et autres
Publié: (2024)

Ultra-Low Complexity On-Orbit Compression for Remote Sensing Imagery via Block Modulated Imaging
par: Wang, Zhibin, et autres
Publié: (2024)

CAPformer: Compression-Aware Pre-trained Transformer for Low-Light Image Enhancement
par: Wang, Wei, et autres
Publié: (2024)

Learning Hierarchical Sparse Transform Coding for 3DGS Compression
par: Xu, Hao, et autres
Publié: (2025)

A Data-Centric Perspective on the Influence of Image Data Quality in Machine Learning Models
par: Chen, Pei-Han, et autres
Publié: (2025)

DH-Mamba: Exploring Dual-domain Hierarchical State Space Models for MRI Reconstruction
par: Meng, Yucong, et autres
Publié: (2025)

Bidirectional Stereo Image Compression with Cross-Dimensional Entropy Model
par: Liu, Zhening, et autres
Publié: (2024)