Image Compression
226 papers with code • 11 benchmarks • 11 datasets
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
Benchmarks
These leaderboards are used to track progress in Image Compression
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Libraries
Use these libraries to find Image Compression models and implementationsDatasets
CIFAR-10
STL-10
Food-101
BSDS500
FER2013
ImageNet-32
PCam
Oxford-IIIT Pet Dataset
Oxford-IIIT Pets
Subtasks
Latest papers
3D Point Cloud Compression with Recurrent Neural Network and Image Compression Methods
ika-rwth-aachen/point-cloud-compression
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Transforming the raw point cloud data into a dense 2D matrix structure is a promising way for applying compression algorithms.
Extreme Video Compression with Pre-trained Diffusion Models
elesionkyrie/extreme-video-compression-with-prediction-using-pre-trainded-diffusion-models-
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The results showcase the potential of exploiting the temporal relations in video data using generative models.
Idempotence and Perceptual Image Compression
tongdaxu/idempotence-and-perceptual-image-compression
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However, we find that theoretically: 1) Conditional generative model-based perceptual codec satisfies idempotence; 2) Unconditional generative model with idempotence constraint is equivalent to conditional generative codec.
Exploring Compressed Image Representation as a Perceptual Proxy: A Study
richzhang/PerceptualSimilarity
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We propose an end-to-end learned image compression codec wherein the analysis transform is jointly trained with an object classification task.
Cool-Chic: Perceptually Tuned Low Complexity Overfitted Image Coder
orange-opensource/cool-chic
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This paper summarises the design of the Cool-Chic candidate for the Challenge on Learned Image Compression.
Understanding the Vulnerability of CLIP to Image Compression
CangxiongChen/understanding_CLIP_vulnerability
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CLIP is a widely used foundational vision-language model that is used for zero-shot image recognition and other image-text alignment tasks.
Cattle Identification Using Muzzle Images and Deep Learning Techniques
peter716/animal_biometrics_system
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Traditional animal identification methods such as ear-tagging, ear notching, and branding have been effective but pose risks to the animal and have scalability issues.
Deep Image Semantic Communication Model for Artificial Intelligent Internet of Things
meatery/semantic-segmentation
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Particularly, at the transmitter side, a high-precision image semantic segmentation algorithm is proposed to extract the semantic information of the image to achieve significant compression of the image data.
VCISR: Blind Single Image Super-Resolution with Video Compression Synthetic Data
kiteretsu77/vcisr-official
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In this work, we for the first time, present a video compression-based degradation model to synthesize low-resolution image data in the blind SISR task.
Deep learning based Image Compression for Microscopy Images: An Empirical Study
In the end, we hope the present study could shed light on the potential of deep learning based image compression and the impact of image compression on downstream deep learning based image analysis models.
