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HVI CIDNet LOLv1 Woperc
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HVI CIDNet LOLv1 Woperc

Developed by Fediory
HVI-CIDNet is a deep learning model designed for low-light image enhancement, based on the novel HVI color space.
Image Enhancement
Safetensors
Open Source License:MIT#Low-light enhancement#HVI color space#Image restoration
Downloads 105
Release Time : 3/10/2025

Model Overview

This model effectively improves image quality under low-light conditions, restoring details and colors through innovative HVI color space transformation and CIDNet architecture.

Model Features

HVI color space
Utilizes the innovative HVI color space representation, which is more suitable for low-light image enhancement tasks.
CIDNet architecture
A specially designed convolutional network architecture that effectively processes image features in the HVI space.
Low-light enhancement
Focuses on improving image quality under low-light conditions, restoring details and natural colors.

Model Capabilities

Low-light image enhancement
Image quality improvement
Detail restoration
Color correction

Use Cases

Computer vision
Surveillance video enhancement
Improves the quality of surveillance videos under nighttime or low-light conditions.
Enhances object detection and recognition performance.
Smartphone photography enhancement
Improves the quality of photos taken by smartphones in low-light environments.
Enhances image details and color representation.
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