Tanvir-jemin's starred repositories
GAN-DataAugmentation
The project shows implementation based on a variety of applications of convolutional networks. DCGAN structure is used for model construction on GAN to learn deeply with multiple convolutional layers. The accuracy for classification task is about doubled after being supported by GAN-based data augmentation. This quantity is even significantly increased with the suitable selection of batch size, which is distinctly differentiated with 2 given label categories. Particularly, by being provided by more high-quality synthesized images, CNN for cow can obtain up to 95% accuracy with the adequate batch size for the training process on GAN. Lastly, the application of surface-feature extraction of PatchGAN trained along with CycleGAN considering the cycle consistency loss of image reconstruction from a distribution to the target one helps grasping the mapping between them and creates generators able to synthesize the transferred version containing the style feature of the objective distribution from the image of the original one without requiring any paired supportive similarity.
mfif-laplacian-pyramid
Multi-focus image fusion based on Laplacian pyramid.
Multi-Focus-Image-Fusion
MFIF with Light Field data
Registration-AutoFuse
AutoFuse: Automatic Fusion Networks for Unsupervised and Semi-supervised Medical Image Registration
medical-image-fusion
this is repository about medical image fusion.
MSDNet-for-Medical-Image-Fusion
ICIG2019
DecompositionForFusion
Code for "Fusion from Decomposition: A Self-Supervised Decomposition Approach for Image Fusion"(ECCV2022)
ResNetFusion
The code of "Infrared and visible image fusion via detail preserving adversarial learning"
PMGI_AAAI2020
Code of paper Rethinking the Image Fusion: A Fast Unified Image Fusion Network based on Proportional Maintenance of Gradient and Intensity
road-scene-infrared-visible-images
Datasets: road-scene-infrared-visible-images, for feature matching, image registration, and image fusion
Zero-Learning-Fast-Medical-Image-Fusion
A real-time image fusion method using pre-trained neural networks
multimodal-image-fusion-to-detect-brain-tumors
Multi-modal medical image fusion to detect brain tumors using MRI and CT images
Generation-of-SAR-Images-Using-Deep-Learning
Generation of Synthetic Aperture Radar (SAR) images using Generative Adversarial Networks (GANs)
DCGAN-tensorflow
A tensorflow implementation of "Deep Convolutional Generative Adversarial Networks"
Face-generation-GAN
Generate realistic human images that do not exist in reality using GAN
imagefusion_densefuse
DenseFuse (IEEE TIP 2019, Highly Cited Paper) - Python 3.6, TensorFlow 1.8.0
Image-Super-Resolution
Implementation of Super Resolution CNN in Keras.