cnn-vis
Image generator
This project enables users to generate images using convolutional neural networks (CNNs) and visualize their activations.
Use CNNs to generate images
499 stars
38 watching
111 forks
Language: Python
last commit: over 9 years ago
Linked from 2 awesome lists
Related projects:
Repository | Description | Stars |
---|---|---|
jcjohnson/densecap | A deep learning framework for generating natural language descriptions of images by detecting objects and their attributes | 1,584 |
google-research/xmcgan_image_generation | This implementation enables text-to-image generation by leveraging cross-modal contrastive learning. | 98 |
kainoj/colnet | Automates colorization of images based on machine learning models trained on image classification data. | 41 |
aman-chauhan/image-coloring | Develops a neural network to color grayscale images using local and global features | 2 |
ibm/max-image-caption-generator | An image caption generation system utilizing machine learning models and deep neural networks. | 84 |
ibm/max-fast-neural-style-transfer | A service for generating new images by mixing the content of an input image with the style of another image. | 50 |
ahmedfgad/numpycnn | A Python implementation of convolutional neural networks from scratch using NumPy. | 574 |
deeprnn/image_captioning | This implementation allows users to generate captions from images using a neural network model with visual attention. | 789 |
jtoy/sketchnet | Generates code in a visual programming language using images as input | 40 |
jimmy-ren/vcnn_double-bladed | A Matlab implementation of GPU-accelerated convolutional neural networks for computer vision tasks | 136 |
google/sg2im | An end-to-end neural network model that generates images from scene graphs by processing input graph information through multiple layers of networks | 1,300 |
mattya/chainer-dcgan | Generates images using a Deep Convolutional Generative Adversarial Network (DCGAN) algorithm | 935 |
jhjacobsen/pytorch-i-revnet | Deep invertible neural network implementation using PyTorch for image recognition and reconstruction tasks. | 390 |
benedekrozemberczki/mixhop-and-n-gcn | A deep learning framework implementation of higher-order graph convolutional architectures and their applications | 402 |
junyanz/bicyclegan | A PyTorch implementation of an image-to-image translation model that generates new images from paired training data. | 1,488 |