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 976–1000 of 1008 papers

TitleStatusHype
Towards Lossless Encoding of SentencesCode0
CARP: Compression through Adaptive Recursive Partitioning for Multi-dimensional ImagesCode0
Towards Loss-Resilient Image Coding for Unstable Satellite NetworksCode0
Streaming-capable High-performance Architecture of Learned Image Compression CodecsCode0
GABIC: Graph-based Attention Block for Image CompressionCode0
Residual Dense Network for Image RestorationCode0
Balanced Rate-Distortion Optimization in Learned Image CompressionCode0
Structured Pruning and Quantization for Learned Image CompressionCode0
Reversible Colour Density Compression of Images using cGANsCode0
Optimal Matrix-Mimetic Tensor Algebras via Variable ProjectionCode0
RFD-ECNet: Extreme Underwater Image Compression with Reference to Feature DictionarCode0
RFD-ECNet: Extreme Underwater Image Compression with Reference to Feature DictionaryCode0
Wide Receptive Field and Channel Attention Network for JPEG Compressed Image DeblurringCode0
CAE-ADMM: Implicit Bitrate Optimization via ADMM-based Pruning in Compressive AutoencodersCode0
Subjective Visual Quality Assessment for High-Fidelity Learning-Based Image CompressionCode0
Frequency-Guided Masking for Enhanced Vision Self-Supervised LearningCode0
Towards the Spectral bias Alleviation by Normalizations in Coordinate NetworksCode0
Fractal image compression using upper bound on scaling parameterCode0
Breaking the Barriers of One-to-One Usage of Implicit Neural Representation in Image Compression: A Linear Combination Approach with Performance GuaranteesCode0
Conditional Probability Models for Deep Image CompressionCode0
S2CFormer: Revisiting the RD-Latency Trade-off in Transformer-based Learned Image CompressionCode0
Efficient Progressive Image Compression with Variance-aware MaskingCode0
Efficient and Effective Context-Based Convolutional Entropy Modeling for Image CompressionCode0
SUR-FeatNet: Predicting the Satisfied User Ratio Curvefor Image Compression with Deep Feature LearningCode0
Flexible Mixed Precision Quantization for Learned Image CompressionCode0
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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