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

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Showing 151–200 of 1008 papers

TitleStatusHype
CMC-Bench: Towards a New Paradigm of Visual Signal CompressionCode1
Deep Lossy Plus Residual Coding for Lossless and Near-lossless Image CompressionCode1
Hierarchical Quantized AutoencodersCode1
COIN: COmpression with Implicit Neural representationsCode1
High Frequency Matters: Uncertainty Guided Image Compression with Wavelet DiffusionCode1
Hypernetworks build Implicit Neural Representations of SoundsCode1
Image Coding for Machines with Edge Information Learning Using Segment AnythingCode1
Deep Image Semantic Communication Model for Artificial Intelligent Internet of ThingsCode1
Neural Distributed Image Compression using Common InformationCode1
Boosting Neural Image Compression for Machines Using Latent Space MaskingCode1
Adaptive Cross-Layer Attention for Image RestorationCode1
Is JPEG AI going to change image forensics?Code1
Controlling Rate, Distortion, and Realism: Towards a Single Comprehensive Neural Image Compression ModelCode1
LDMIC: Learning-based Distributed Multi-view Image CodingCode1
DiffHarmony: Latent Diffusion Model Meets Image HarmonizationCode1
CompressAI: a PyTorch library and evaluation platform for end-to-end compression researchCode1
Efficient Nonlinear Transforms for Lossy Image CompressionCode1
Learning Better Lossless Compression Using Lossy CompressionCode1
Learning for Video Compression with Hierarchical Quality and Recurrent EnhancementCode1
Learning to Improve Image Compression without Changing the Standard DecoderCode1
Locally Masked Convolution for Autoregressive ModelsCode1
Fitted Neural Lossless Image CompressionCode1
Compressing Images by Encoding Their Latent Representations with Relative Entropy CodingCode1
Lossy Image Compression with Compressive AutoencodersCode1
Interpolation variable rate image compressionCode1
Matrix Compression via Randomized Low Rank and Low Precision FactorizationCode1
Microshift: An Efficient Image Compression Algorithm for HardwareCode1
MISC: Ultra-low Bitrate Image Semantic Compression Driven by Large Multimodal ModelCode1
AIM 2024 Challenge on UHD Blind Photo Quality AssessmentCode1
MLIC: Multi-Reference Entropy Model for Learned Image CompressionCode1
Neural Data-Dependent Transform for Learned Image CompressionCode1
Neural Distributed Image Compression with Cross-Attention Feature AlignmentCode1
QVRF: A Quantization-error-aware Variable Rate Framework for Learned Image CompressionCode1
NVTC: Nonlinear Vector Transform CodingCode1
Block Modulating Video Compression: An Ultra Low Complexity Image Compression Encoder for Resource Limited Platforms—0
Adapting JPEG XS gains and priorities to tasks and contents—0
Deep Decoding of _-coded Light Field Images—0
BlinQS: Blind Quality Scalable Image Compression Algorithm without using PCRD Optimization—0
An Empirical Analysis of Recurrent Learning Algorithms In Neural Lossy Image Compression Systems—0
Deep Convolutional Neural Network for Image Deconvolution—0
DeepFGS: Fine-Grained Scalable Coding for Learned Image Compression—0
Bit Rate Matching Algorithm Optimization in JPEG-AI Verification Model—0
Bit Distribution Study and Implementation of Spatial Quality Map in the JPEG-AI Standardization—0
Adaptation and Attention for Neural Video Coding—0
An Efficient Architecture and High-Throughput Implementation of CCSDS-123.0-B-2 Hybrid Entropy Coder Targeting Space-Grade SRAM FPGA Technology—0
Binary Probability Model for Learning Based Image Compression—0
A bi-level view of inpainting - based image compression—0
DeepAdversaries: Examining the Robustness of Deep Learning Models for Galaxy Morphology Classification—0
DeepFGS: Fine-Grained Scalable Coding for Learned Image Compression—0
Bi-Level Spatial and Channel-aware Transformer for Learned Image Compression—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