SOTAVerified

Image Compression

Image Compression is an application of data compression for digital images to lower their storage and/or transmission requirements.

Source: Variable Rate Deep Image Compression With a Conditional Autoencoder

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 201–250 of 1008 papers

TitleStatusHype
Accelerating Learned Image Compression Through Modeling Neural Training Dynamics—0
Generative Latent Coding for Ultra-Low Bitrate Image and Video Compression—0
One-Step Diffusion-Based Image Compression with Semantic Distillation—0
Combining Progressive Image Compression and Random Access in DNA Data Storage—0
Higher fidelity perceptual image and video compression with a latent conditioned residual denoising diffusion modelCode0
GANCompress: GAN-Enhanced Neural Image Compression with Binary Spherical Quantization—0
High Quality Underwater Image Compression with Adaptive Correction and Codebook-based Augmentation—0
Ultra Lowrate Image Compression with Semantic Residual Coding and Compression-aware Diffusion—0
Towards Facial Image Compression with Consistency Preserving Diffusion Prior—0
PICD: Versatile Perceptual Image Compression with Diffusion Rendering—0
Gone With the Bits: Revealing Racial Bias in Low-Rate Neural Compression for Facial Images—0
Easz: An Agile Transformer-based Image Compression Framework for Resource-constrained IoTs—0
Why Compress What You Can Generate? When GPT-4o Generation Ushers in Image Compression Fields—0
LoC-LIC: Low Complexity Learned Image Coding Using Hierarchical Feature Transforms—0
MLICv2: Enhanced Multi-Reference Entropy Modeling for Learned Image Compression—0
TVC: Tokenized Video Compression with Ultra-Low Bitrate—0
LimitNet: Progressive, Content-Aware Image Offloading for Extremely Weak Devices & NetworksCode0
Efficient Masked Image Compression with Position-Indexed Self-Attention—0
All-in-One Transferring Image Compression from Human Perception to Multi-Machine Perception—0
Universal Representations for Classification-enhanced Lossy Compression—0
Subjective Visual Quality Assessment for High-Fidelity Learning-Based Image CompressionCode0
Bridging the Gap between Gaussian Diffusion Models and Universal Quantization for Image Compression—0
Learned Image Compression and Restoration for Digital PathologyCode0
F-INR: Functional Tensor Decomposition for Implicit Neural Representations—0
Bitstream Collisions in Neural Image Compression via Adversarial PerturbationsCode0
TFIC: End-to-End Text-Focused Image Compression for Coding for Machines—0
Multiscale Feature Importance-based Bit Allocation for End-to-End Feature Coding for Machines—0
Guided Diffusion for the Extension of Machine Vision to Human Visual Perception—0
Overview of Variable Rate Coding in JPEG AI—0
OSLO-IC: On-the-Sphere Learned Omnidirectional Image Compression with Attention Modules and Spatial Context—0
Task-Oriented Feature Compression for Multimodal Understanding via Device-Edge Co-Inference—0
Deep Lossless Image Compression via Masked Sampling and Coarse-to-Fine Auto-Regression—0
Flow to the Mode: Mode-Seeking Diffusion Autoencoders for State-of-the-Art Image Tokenization—0
Pathology Image Compression with Pre-trained Autoencoders—0
Leveraging Diffusion Knowledge for Generative Image Compression with Fractal Frequency-Aware Band Learning—0
Enhanced Diagnostic Fidelity in Pathology Whole Slide Image Compression via Deep Learning—0
Gain-MLP: Improving HDR Gain Map Encoding via a Lightweight MLP—0
JPEG Compliant Compression for Both Human and Machine, A Report—0
Seeing Delta Parameters as JPEG Images: Data-Free Delta Compression with Discrete Cosine Transform—0
FEDS: Feature and Entropy-Based Distillation Strategy for Efficient Learned Image Compression—0
Lightweight Embedded FPGA Deployment of Learned Image Compression with Knowledge Distillation and Hybrid Quantization—0
DLF: Extreme Image Compression with Dual-generative Latent Fusion—0
Taming Large Multimodal Agents for Ultra-low Bitrate Semantically Disentangled Image CompressionCode0
CAT-3DGS: A Context-Adaptive Triplane Approach to Rate-Distortion-Optimized 3DGS Compression—0
Balanced Rate-Distortion Optimization in Learned Image CompressionCode0
Transformer-Based Nonlinear Transform Coding for Multi-Rate CSI Compression in MIMO-OFDM Systems—0
Continuous Patch Stitching for Block-wise Image Compression—0
Large Language Model for Lossless Image Compression with Visual Prompts—0
Interleaved Block-based Learned Image Compression with Feature Enhancement and Quantization Error Compensation—0
FD-LSCIC: Frequency Decomposition-based Learned Screen Content Image Compression—0
Show:102550
← PrevPage 5 of 21Next →
All datasetskodakImageNet32BSDS500Caltech101Cars-196CIFAR-10FER2013Food-101Oxford-IIIT Pet DatasetPCamSTL-10

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1STFBD-Rate over VTM-17.0-2.48—Unverified
2WACNNBD-Rate over VTM-17.0-2.95—Unverified
3ELICBD-Rate over VTM-17.0-5.95—Unverified
4MLICBD-Rate over VTM-17.0-8.05—Unverified
5SegPICBD-Rate over VTM-17.0-8.18—Unverified
6LIC-TCM LargeBD-Rate over VTM-17.0-10.14—Unverified
7MLIC+BD-Rate over VTM-17.0-11.39—Unverified
8MLIC++BD-Rate over VTM-17.0-13.39—Unverified
#ModelMetricClaimedVerifiedStatus
1PNGbpsp6.42—Unverified
2JPEG2000bpsp6.35—Unverified
3L3Cbpsp4.76—Unverified
4MS-PixelCNNbpsp3.95—Unverified
5iFlowbpsp3.88—Unverified
#ModelMetricClaimedVerifiedStatus
1RK-CCSNetAverage PSNR30.51—Unverified
#ModelMetricClaimedVerifiedStatus
1Lossyless CompressorBit rate1,340—Unverified
#ModelMetricClaimedVerifiedStatus
1Lossyless CompressorBit rate1,470—Unverified
#ModelMetricClaimedVerifiedStatus
1Lossyless CompressorBit rate1,410—Unverified
#ModelMetricClaimedVerifiedStatus
1SUDHEER10%1—Unverified
#ModelMetricClaimedVerifiedStatus
1Lossyless CompressorBit rate1,270—Unverified
#ModelMetricClaimedVerifiedStatus
1Lossyless CompressorBit rate1,210—Unverified
#ModelMetricClaimedVerifiedStatus
1Lossyless CompressorBit rate1,490—Unverified
#ModelMetricClaimedVerifiedStatus
1Lossyless CompressorBit rate1,340—Unverified