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HVI CIDNet LOLv2 Syn Wperc
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HVI CIDNet LOLv2 Syn Wperc

Developed by Fediory
HVI-CIDNet is a model designed for low-light image enhancement, based on the new HVI color space.
Image Enhancement
Safetensors
Open Source License:MIT#Low-light enhancement#HVI color space#Image restoration
Downloads 129
Release Time : 3/10/2025

Model Overview

This model is primarily used for image enhancement under low-light conditions, improving image quality through novel color space transformation and deep learning architecture.

Model Features

HVI color space
Utilizes the novel HVI color space, specifically optimized for low-light images, providing better color representation and detail retention.
CIDNet architecture
Employs the CIDNet deep learning architecture to effectively handle image enhancement tasks under low-light conditions.

Model Capabilities

Low-light image enhancement
Color space transformation
Image quality improvement

Use Cases

Image processing
Night photography enhancement
Improves the quality of photos taken at night or under low-light conditions
Enhanced visibility and color representation
Surveillance video enhancement
Enhances the image quality of low-light surveillance videos
Increased usability of surveillance footage
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