Image de couverture de livre

Exploring Compressed Image Representation as a Perceptual Proxy: A Study

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Huang, Chen-Hsiu, Wu, Ja-Ling
Format:	Preprint
Publié:	2024
Sujets:	Computer Vision and Pattern Recognition Machine Learning Image and Video Processing
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Correcting Diffusion-Based Perceptual Image Compression with Privileged End-to-End Decoder
par: Ma, Yiyang, et autres
Publié: (2024)

Diffusion-based Perceptual Neural Video Compression with Temporal Diffusion Information Reuse
par: Ma, Wenzhuo, et autres
Publié: (2025)

Fast Training-free Perceptual Image Compression
par: Zhu, Ziran, et autres
Publié: (2025)

Rethinking Perceptual Metrics for Medical Image Translation
par: Konz, Nicholas, et autres
Publié: (2024)

Deep learning based Image Compression for Microscopy Images: An Empirical Study
par: Zhou, Yu, et autres
Publié: (2023)

Idempotence and Perceptual Image Compression
par: Xu, Tongda, et autres
Publié: (2024)

High Perceptual Quality Image Denoising with a Posterior Sampling CGAN
par: Ohayon, Guy, et autres
Publié: (2021)

Generalized Compressed Sensing for Image Reconstruction with Diffusion Probabilistic Models
par: Zhang, Ling-Qi, et autres
Publié: (2024)

CIC: Circular Image Compression
par: Li, Honggui, et autres
Publié: (2024)

Drop-In Perceptual Optimization for 3D Gaussian Splatting
par: Ozyilkan, Ezgi, et autres
Publié: (2026)

Pre-processing and Compression: Understanding Hidden Representation Refinement Across Imaging Domains via Intrinsic Dimension
par: Konz, Nicholas, et autres
Publié: (2024)

UniCompress: Enhancing Multi-Data Medical Image Compression with Knowledge Distillation
par: Yang, Runzhao, et autres
Publié: (2024)

Synonymous Variational Inference for Perceptual Image Compression
par: Liang, Zijian, et autres
Publié: (2025)

Exploring Variational Autoencoders for Medical Image Generation: A Comprehensive Study
par: Rais, Khadija, et autres
Publié: (2024)

Conditional Hallucinations for Image Compression
par: Aczel, Till, et autres
Publié: (2024)

Learned HDR Image Compression for Perceptually Optimal Storage and Display
par: Cao, Peibei, et autres
Publié: (2024)

Perceptual Fairness in Image Restoration
par: Ohayon, Guy, et autres
Publié: (2024)

Seeing Delta Parameters as JPEG Images: Data-Free Delta Compression with Discrete Cosine Transform
par: Huang, Chenyu, et autres
Publié: (2025)

Learned Compression for Images and Point Clouds
par: Ulhaq, Mateen
Publié: (2024)

Learning-Based Image Compression for Machines
par: Gupta, Kartik, et autres
Publié: (2024)

Machine Perceptual Quality: Evaluating the Impact of Severe Lossy Compression on Audio and Image Models
par: Jacobellis, Dan, et autres
Publié: (2024)

UniMIC: Towards Universal Multi-modality Perceptual Image Compression
par: Gao, Yixin, et autres
Publié: (2024)

Lossy Image Compression with Conditional Diffusion Models
par: Yang, Ruihan, et autres
Publié: (2022)

GABIC: Graph-based Attention Block for Image Compression
par: Spadaro, Gabriele, et autres
Publié: (2024)

High-Fidelity Image Compression with Score-based Generative Models
par: Hoogeboom, Emiel, et autres
Publié: (2023)

Contextformer: A Transformer with Spatio-Channel Attention for Context Modeling in Learned Image Compression
par: Koyuncu, A. Burakhan, et autres
Publié: (2022)

Learning Lossless Compression for High Bit-Depth Volumetric Medical Image
par: Wang, Kai, et autres
Publié: (2024)

Reasons for the Superiority of Stochastic Estimators over Deterministic Ones: Robustness, Consistency and Perceptual Quality
par: Ohayon, Guy, et autres
Publié: (2022)

Whole Heart 3D+T Representation Learning Through Sparse 2D Cardiac MR Images
par: Zhang, Yundi, et autres
Publié: (2024)

Learning Generalized Medical Image Representations through Image-Graph Contrastive Pretraining
par: Khanna, Sameer, et autres
Publié: (2024)

A Latent Representation Learning Framework for Hyperspectral Image Emulation in Remote Sensing
par: Azizi, Chedly Ben, et autres
Publié: (2026)

EGIC: Enhanced Low-Bit-Rate Generative Image Compression Guided by Semantic Segmentation
par: Körber, Nikolai, et autres
Publié: (2023)

Proxies for Distortion and Consistency with Applications for Real-World Image Restoration
par: Man, Sean, et autres
Publié: (2025)

Generalizing Medical Image Representations via Quaternion Wavelet Networks
par: Sigillo, Luigi, et autres
Publié: (2023)

Unifying Generation and Compression: Ultra-low bitrate Image Coding Via Multi-stage Transformer
par: Xue, Naifu, et autres
Publié: (2024)

Efficient Contextformer: Spatio-Channel Window Attention for Fast Context Modeling in Learned Image Compression
par: Koyuncu, A. Burakhan, et autres
Publié: (2023)

RGMIM: Region-Guided Masked Image Modeling for Learning Meaningful Representations from X-Ray Images
par: Li, Guang, et autres
Publié: (2022)

Reducing the Representation Error of GAN Image Priors Using the Deep Decoder
par: Daniels, Mara, et autres
Publié: (2020)

ChWDTA: Channel-wise Wavelet-Domain Transformer Attention and Entropy Modeling for Learned Image Compression
par: Fu, Haisheng, et autres
Publié: (2026)

A Framework for Exploring and Disentangling Intersectional Bias: A Case Study in Fetal Ultrasound
par: Elgebaly, Aya, et autres
Publié: (2026)