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Analysis Framework for Computational Imaging Systems
The dataset used in this paper is a comprehensive analysis framework for Computational Imaging systems, including signal priors, sensor noise, and multiplexing. -
WAHRSIS: A Low-cost, High-resolution Whole Sky Imager
The dataset is a whole sky imager called WAHRSIS, which captures the entire hemisphere in a single high-resolution picture via a digital camera using a fish-eye lens. -
Fujifilm UltraISP dataset
A novel MicroISP model designed specifically for edge devices, taking into account their computational and memory limitations. -
SOHO/MDI Magnetograms of Solar Active Regions
The dataset includes level 1.8 full-disk MDI magnetograms with 2′′ per pixel taken from the mdi.fd M 96m lev182 series of JSOC. HMI magnetograms with 0.5′′ per pixel from the... -
Elastic Source Imaging with Sparse Data
The dataset used in this paper for elastic source imaging with very sparse data, both in space and time. -
Benchmarking Robustness of Deep Learning Classifiers Using Two-Factor Perturb...
Benchmarking robustness of deep learning classifiers using two-factor perturbation -
Kylberg Texture Database
The dataset used in the paper is the Kylberg texture database, which contains 240 fully-textured images belonging to 6 different substances. -
Dual-Camera Smooth Zoom on Mobile Phones
The dataset is used for training and testing the proposed dual-camera smooth zoom (DCSZ) method. -
New Efficient Visual OILU Markers
The dataset is used to develop new efficient visual markers based on the OILU numbering system. -
MyoPS dataset
The dataset used in the paper is the MyoPS dataset, which provides three-sequence Cardiac Magnetic Resonance (LGE, T2 and C0) and three anatomy masks, including myocardium... -
PETS sequence
The PETS sequence is a sequence of images with a static background and sparse foreground. The dataset is used to evaluate the performance of the proposed algorithm. -
Hall sequence
The Hall sequence is a sequence of images with a static background and sparse foreground. The dataset is used to evaluate the performance of the proposed algorithm. -
HSI dataset for RGB image-to-StO2 translation
The dataset used for training and testing the Conditional Generative Adversarial Networks (cGAN) for estimating tissue oxygen saturation from RGB images. -
Compressed Sensing Dataset
The dataset used in the paper is a compressed sensing problem – under-determined sparse recovery from linear Gaussian random measurements. -
Deep Convolutional Neural Network for Inverse Problems in Imaging
A dataset for Deep Convolutional Neural Network for Inverse Problems in Imaging -
InternLM-XC
InternLM-XC is a vision-language large model that supports images with any aspect ratio from 336 pixels up to 4K HD, facilitating its deployment in real-world contexts. -
InternLM-XComposer2
InternLM-XComposer2 is a vision-language large model that supports images with any aspect ratio from 336 pixels up to 4K HD, facilitating its deployment in real-world contexts.
