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Found 7 papers, 6 papers with code
TextCaps: a Dataset for Image Captioning with Reading Comprehension
Image descriptions can help visually impaired people to quickly understand the image content.
Craquelure as a Graph: Application of Image Processing and Graph Neural Networks to the Description of Fracture Patterns
We illustrate benefits from the graph representation and statistical features individually using novel Graph Neural Network and hand-crafted descriptors correspondingly.
Generative Smoke Removal
In minimally invasive surgery, the use of tissue dissection tools causes smoke, which inevitably degrades the image quality.
Deep Hyperspectral Prior: Denoising, Inpainting, Super-Resolution
Deep learning algorithms have demonstrated state-of-the-art performance in various tasks of image restoration.
Ranked #1 on
Hyperspectral Image Inpainting
on Indian Pines
Artificial Color Constancy via GoogLeNet with Angular Loss Function
Color Constancy is the ability of the human visual system to perceive colors unchanged independently of the illumination.
Conditional GANs for Multi-Illuminant Color Constancy: Revolution or Yet Another Approach?
Non-uniform and multi-illuminant color constancy are important tasks, the solution of which will allow to discard information about lighting conditions in the image.
Changing the Image Memorability: From Basic Photo Editing to GANs
Despite numerous studies on understanding and predicting image memorability, there are almost no achievements in memorability modification.
