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 201–250 of 1008 papers

TitleStatusHype
Rethinking Image Compression on the Web with Generative AI—0
Autoencoded Image Compression for Secure and Fast TransmissionCode0
QET: Enhancing Quantized LLM Parameters and KV cache Compression through Element Substitution and Residual Clustering—0
Image-GS: Content-Adaptive Image Representation via 2D Gaussians—0
A Study on the Effect of Color Spaces in Learned Image Compression—0
Learned Image Compression for HE-stained Histopathological Images via Stain Deconvolution—0
On Efficient Neural Network Architectures for Image CompressionCode0
CMC-Bench: Towards a New Paradigm of Visual Signal CompressionCode1
Beyond LLaVA-HD: Diving into High-Resolution Large Multimodal ModelsCode2
Optimal Matrix-Mimetic Tensor Algebras via Variable ProjectionCode0
Image Compression with Isotropic and Anisotropic Shepard Inpainting—0
Region of Interest Loss for Anonymizing Learned Image CompressionCode0
SMC++: Masked Learning of Unsupervised Video Semantic CompressionCode1
PatchSVD: A Non-uniform SVD-based Image Compression AlgorithmCode0
Exploring Distortion Prior with Latent Diffusion Models for Remote Sensing Image CompressionCode0
Lossless Image Compression Using Multi-level Dictionaries: Binary Images—0
Once-for-All: Controllable Generative Image Compression with Dynamic Granularity AdaptionCode2
A Review of Pulse-Coupled Neural Network Applications in Computer Vision and Image Processing—0
ContextGS: Compact 3D Gaussian Splatting with Anchor Level Context ModelCode2
Implicit Neural Image Field for Biological Microscopy Image CompressionCode1
UniCompress: Enhancing Multi-Data Medical Image Compression with Knowledge Distillation—0
Controlling Rate, Distortion, and Realism: Towards a Single Comprehensive Neural Image Compression ModelCode1
Refining Coded Image in Human Vision Layer Using CNN-Based Post-Processing—0
Enhancing Perception Quality in Remote Sensing Image Compression via Invertible Neural Network—0
Sensitivity Decouple Learning for Image Compression Artifacts Reduction—0
Scalable Image Coding for Humans and Machines Using Feature Fusion NetworkCode1
On the Adversarial Robustness of Learning-based Image Compression Against Rate-Distortion Attacks—0
Group-aware Parameter-efficient Updating for Content-Adaptive Neural Video Compression—0
Neural Graphics Texture Compression Supporting Random Access—0
Computational ghost imaging with hybrid transforms by integrating Hadamard, discrete cosine, and Haar matrices—0
A Rate-Distortion-Classification Approach for Lossy Image Compression—0
GroupedMixer: An Entropy Model with Group-wise Token-Mixers for Learned Image Compression—0
Towards Extreme Image Compression with Latent Feature Guidance and Diffusion PriorCode2
Domain Adaptation for Learned Image Compression with Supervised AdaptersCode0
HybridFlow: Infusing Continuity into Masked Codebook for Extreme Low-Bitrate Image Compression—0
Image Generative Semantic Communication with Multi-Modal Similarity Estimation for Resource-Limited Networks—0
Compressible and Searchable: AI-native Multi-Modal Retrieval System with Learned Image Compression—0
MarsQE: Semantic-Informed Quality Enhancement for Compressed Martian Image—0
Mitigating Challenges of the Space Environment for Onboard Artificial Intelligence: Design Overview of the Imaging Payload on SpIRIT—0
Lossy Image Compression with Foundation Diffusion Models—0
Learning to Classify New Foods Incrementally Via Compressed Exemplars—0
Fine color guidance in diffusion models and its application to image compression at extremely low bitrates—0
Image and Video Compression using Generative Sparse Representation with Fidelity Controls—0
DiffHarmony: Latent Diffusion Model Meets Image HarmonizationCode1
Correcting Diffusion-Based Perceptual Image Compression with Privileged End-to-End Decoder—0
Power-Efficient Image Storage: Leveraging Super Resolution Generative Adversarial Network for Sustainable Compression and Reduced Carbon Footprint—0
Convolutional variational autoencoders for secure lossy image compression in remote sensing—0
The Rate-Distortion-Perception Trade-off: The Role of Private Randomness—0
Fully-fused Multi-Layer Perceptrons on Intel Data Center GPUsCode2
Neural Image Compression with Quantization Rectifier—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