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 51–100 of 1008 papers

TitleStatusHype
Guided Diffusion for the Extension of Machine Vision to Human Visual Perception—0
Overview of Variable Rate Coding in JPEG AI—0
Task-Oriented Feature Compression for Multimodal Understanding via Device-Edge Co-Inference—0
OSLO-IC: On-the-Sphere Learned Omnidirectional Image Compression with Attention Modules and Spatial Context—0
MambaIC: State Space Models for High-Performance Learned Image CompressionCode2
Gain-MLP: Improving HDR Gain Map Encoding via a Lightweight MLP—0
Flow to the Mode: Mode-Seeking Diffusion Autoencoders for State-of-the-Art Image Tokenization—0
Leveraging Diffusion Knowledge for Generative Image Compression with Fractal Frequency-Aware Band Learning—0
Deep Lossless Image Compression via Masked Sampling and Coarse-to-Fine Auto-Regression—0
Pathology Image Compression with Pre-trained Autoencoders—0
Enhanced Diagnostic Fidelity in Pathology Whole Slide Image Compression via Deep Learning—0
JPEG Compliant Compression for Both Human and Machine, A Report—0
PerCoV2: Improved Ultra-Low Bit-Rate Perceptual Image Compression with Implicit Hierarchical Masked Image ModelingCode1
FEDS: Feature and Entropy-Based Distillation Strategy for Efficient Learned Image Compression—0
Seeing Delta Parameters as JPEG Images: Data-Free Delta Compression with Discrete Cosine Transform—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
CAT-3DGS: A Context-Adaptive Triplane Approach to Rate-Distortion-Optimized 3DGS Compression—0
Taming Large Multimodal Agents for Ultra-low Bitrate Semantically Disentangled Image CompressionCode0
Towards Lossless Implicit Neural Representation via Bit Plane DecompositionCode1
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
Compact Latent Representation for Image Compression (CLRIC)—0
Stereo Image Coding for Machines with Joint Visual Feature Compression—0
A Lightweight Model for Perceptual Image Compression via Implicit Priors—0
Optimizing CNN Architectures for Advanced Thoracic Disease Classification—0
ResiComp: Loss-Resilient Image Compression via Dual-Functional Masked Visual Token Modeling—0
A Fast Quantum Image Compression Algorithm based on Taylor ExpansionCode0
SQ-GAN: Semantic Image Communications Using Masked Vector QuantizationCode1
HDCompression: Hybrid-Diffusion Image Compression for Ultra-Low Bitrates—0
Linear Attention Modeling for Learned Image Compression—0
CMamba: Learned Image Compression with State Space Models—0
All-in-One Image Compression and RestorationCode1
Compressed Image Generation with Denoising Diffusion Codebook ModelsCode2
S2CFormer: Revisiting the RD-Latency Trade-off in Transformer-based Learned Image CompressionCode0
Semantic Communication based on Generative AI: A New Approach to Image Compression and Edge Optimization—0
On Disentangled Training for Nonlinear Transform in Learned Image CompressionCode1
Diffusion-based Perceptual Neural Video Compression with Temporal Diffusion Information Reuse—0
Towards Loss-Resilient Image Coding for Unstable Satellite NetworksCode0
Emergence of Painting Ability via Recognition-Driven Evolution—0
An Efficient Adaptive Compression Method for Human Perception and Machine Vision Tasks—0
Unified Coding for Both Human Perception and Generalized Machine Analytics with CLIP SupervisionCode1
Region of Interest based Medical Image Compression—0
Fitted Neural Lossless Image CompressionCode1
Decouple Distortion from Perception: Region Adaptive Diffusion for Extreme-low Bitrate Perception Image Compression—0
Multirate Neural Image Compression with Adaptive Lattice Vector Quantization—0
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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