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HVI CIDNet LOLv1 Wperc
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HVI CIDNet LOLv1 Wperc

Developed by Fediory
HVI-CIDNet is a deep learning model for low-light image enhancement, designed based on the new HVI color space.
Image Enhancement
Safetensors
Open Source License:MIT#Low-light enhancement#HVI color space#Image restoration
Downloads 503
Release Time : 3/8/2025

Model Overview

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

Model Features

Novel color space
Uses the HVI color space, which may be more suitable for low-light image processing
Efficient network architecture
Adopts the CIDNet architecture, optimized for image enhancement tasks
Low-light enhancement
Specifically designed to improve image quality under low-light conditions

Model Capabilities

Low-light image enhancement
Image quality improvement
Color correction

Use Cases

Image processing
Night photography enhancement
Improves the visibility and quality of low-light photos taken at night
Enhances image brightness, contrast, and details
Surveillance video enhancement
Enhances surveillance footage under low-light conditions
Improves the recognizability of surveillance images
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