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Found 6 papers, 0 papers with code
Space-Time Video Super-resolution with Neural Operator
This paper addresses the task of space-time video super-resolution (ST-VSR).
Wavelet-Like Transform-Based Technology in Response to the Call for Proposals on Neural Network-Based Image Coding
Neural network-based image coding has been developing rapidly since its birth.
Learning a Single Convolutional Layer Model for Low Light Image Enhancement
Low-light image enhancement (LLIE) aims to improve the illuminance of images due to insufficient light exposure.
aiWave: Volumetric Image Compression with 3-D Trained Affine Wavelet-like Transform
Volumetric image compression has become an urgent task to effectively transmit and store images produced in biological research and clinical practice.
End-to-End Image Compression with Probabilistic Decoding
However, this nature was seldom considered in previous studies on image compression, which usually chose one possible image as reconstruction, e. g. the one with the maximal a posteriori probability.
iWave3D: End-to-end Brain Image Compression with Trainable 3-D Wavelet Transform
With the rapid development of whole brain imaging technology, a large number of brain images have been produced, which puts forward a great demand for efficient brain image compression methods.
