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3d-guided-face-mani

3D-Guided Face Manipulation of 2D Images for the Prediction of Post-Operative Outcome after Cranio-Maxillofacial Surgery

adnet

Attention-guided CNN for image denoising(Neural Networks,2020)

attention-enriched-dl-model-for-breast-tumor-segmentation

Salient attention U-Net model for tumor segmentation in breast ultrasound images, based on visual saliency maps

autoencoders-using-pytorch-medical-imaging

Medical Imaging, Denoising Autoencoder, Sparse Denoising Autoencoder (SDAE) End-to-end and Layer Wise Pretraining

automated-eye-cancer-detection

Deep ConvNets based eye cancer detection

awesome-diabetic-retinopathy-detection

Papers and Public Datasets for Diabetic Retinopathy Detection

brdnet

Image denoising using deep CNN with batch renormalization(Neural Networks,2020)

cervical-cancer-cnn-ga

Deep feature selection using GA for classification of cervical cytology images.

chocnn

computer-vision

A repository for computer vision applications - image classification, multi label classification, object detection and image segmentation

convolutional-denoising-autoencoder

A project for denoising Medical Images with Guassian Noise.

cpm

Lipstick ain't enough: Beyond Color-Matching for In-the-Wild Makeup Transfer (CVPR 2021)

dc-unet

We proposed a novel U-Net-based model -- DC-UNet to do medical image segmentation.

denoising-medical-images

Denoising medical images using AutoEncoders

diabetic-retinopathy-detection

DIAGNOSIS OF DIABETIC RETINOPATHY FROM FUNDUS IMAGES USING SVM, KNN, and attention-based CNN models with GradCam score for interpretability,

dncnn

Image Denoising with Residual Learning

dncnn-jpeg

A tensorflow implementation of 'Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising' only for JPEG deblokcing

dncnn-tensorflow

:octocat::octocat:A tensorflow implement of the paper "Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising"

efficientnet-pso

Implementation of EfficientNet using PSO(Particle Swarm Optimization) instead of grid search

expgan

face-landmark-controlnet

Proof of concept for control landmarks in diffusion models!

face_expression_change

facial_expression_transfer

Real-time Facial Expression Transfer --> facial expression capture and reenactment via webcam

ffdnet_projet

fundus-correction-cofe-net

fundus-image-classification

Multi-Label Classification of Eye Diseases

fyp_ntu_fyp_facial_expression_transfer_stylegan

gabor_cnn_for_pneumonia_classification_with_contrast_processing_technique

Pneumonia is known as a respiratory disease caused by bacterial, viral or fungal infection and has a high mortality rate. Identification of pneumonia is usually done by chest X-ray, but is hampered by other lung problems that the patient has experienced. Therefore, this study proposes the Convolutional Neural Networks method by adding a Gabor filter and several image contrast processing techniques such as image enhancement, mahotas and contrast limited adaptive histogram equalization. Tests using original data obtained an accuracy of 94.3% and 44.8% while the application of Image Enhancement obtained an accuracy of 92.95% and loss of 36.3%, preprocessing mahotas obtained an accuracy of 65% and a loss of 200%. preprocessing contrast limited adaptive histogram equalization obtained 88.3% accuracy and 79.6% loss. Original data is the best in terms of accuracy and image enhancement is the best in loss in this study.

ganimation

GANimation: Anatomically-aware Facial Animation from a Single Image (ECCV'18 Oral) [PyTorch]

gardnet

Source code for GARDNet: Robust Multi-View Network for Glaucoma Classification in Color Fundus Images