Found 24 repositories(showing 24)
logic-OT
This project uses AI to fix blur images of faces. This uses a 5-layered UNet architecture which hallucinates facial features to sharpen the image. This be used recreationally or aid in forensic investigation to identify faces
Official code for the paper "A Dataset for Deep Image Deblurring Aided by Inertial Sensor Data"
edvardHua
Provide a concise implementation of image processing (denoise, sdr, deblur, super resolution, stablization etc.) that includes both traditional and Ai-based methods for quick and easy testing.
aliakseis
See https://docs.openvino.ai/2022.3/notebooks/217-vision-deblur-with-output.html#do-inference-on-the-input-image
komejisatori
AI Deblur Demonstration Using Pytorch Mobile
Ravikiran27
A deep learning project that leverages U-Net architecture and transfer learning with pretrained CNN models to restore blurred text images. Built with TensorFlow/Keras and includes a Streamlit web application for easy demonstration.
Laibafaisal
Sign up & login UI, Firebase integration for an AI image Deblurring app
HAMMAD-Shahid27
AI-powered photo restoration tool that enhances, denoises, deblurs, and colorizes old or damaged photos using deep learning techniques.
rpaDyc
Debluring code to train model (you need realy a lot of data)
bzyyyyyyyy
No description available
Scorpio147
No description available
HiteshSaaiNew
No description available
kakuking
No description available
wf-ljc
Deblurring (edge enhancement) effect on 64×64 grayscale images
jm27
No description available
WuKe2002
No description available
Hiteshsaai
No description available
Djain3234
No description available
xiaotian-04
No description available
FredSV17
Using generative AI and UNets to deblur images of animals
No description available
Phuongtna1
Improving the quality of the single blur image based on deep learning approaches
A real-time 3-phase AI pipeline (Kernel Estimation, DeblurUNet, YOLOv8n) that deblurs 720p@30FPS video to improve defect detection accuracy in high-speed manufacturing environments.
Agaisina
This is a challenge associated to the PRIN 2022 project "LICAM - AI-powered LiDAR fusion for next-generation smartphone cameras". The challenge task is to deblur real low-light images taken by the iPhone 15 Pro, using both the blurred image and the co-registered depth map produced by the Lidar sensor
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