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

GitHub

499 stars
38 watching
111 forks
Language: Python
last commit: over 9 years ago
Linked from 2 awesome lists


Backlinks from these 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