context_encoder_pytorch
by BoyuanJiang
PyTorch Implement of Context Encoders: Feature Learning by Inpainting
AI summary
Image inpainter
A PyTorch implementation of a deep learning model for inpainting images using contextual information
- stars
- 366
- forks
- 100
- watching
- 7
Similar projects
Found by comparing what the projects do, not just their names.
Image inpainting model
Unsupervised feature learning by image inpainting using Generative Adversarial Networks (GANs)
Deep learning toolkit
A Python framework for building deep learning models with optimized encoding layers and batch normalization.
Image separator
Deep learning implementation of image matting, aiming to separate foreground and background from input images.
Video captioner
PyTorch implementation of video captioning, combining deep learning and computer vision techniques.
Computer Vision Toolkit
A PyTorch toolbox for supporting research and development of domain adaptation, generalization, and semi-supervised learning methods in computer vision.
Image generator
PyTorch implementation of a scene-based text-to-image generation system with human priors using Generative Adversarial Networks and semantic segmentation
Image synthesis model
An implementation of semantic image synthesis via adversarial learning using PyTorch
Image classifier
A PyTorch project for comparing image classification models and facilitating quick experiment setup
Autoencoder
An implementation of Adversarial Autoencoders using PyTorch for training neural networks on structured data.
Video learning library
Pytorch implementation of unsupervised depth and ego-motion learning from video sequences
Image Blender
A PyTorch implementation of blending images by optimizing a Poisson loss with style and content loss
Text-to-Image Synthetizer
A PyTorch implementation of a generative adversarial network for image synthesis from text descriptions
Deep learning project repository
Re-implementation of Coursera's Deep Learning specialization assignments in PyTorch
Image classifier
Implementing a deep learning framework for image classification using Residual Attention Network architecture
Image generator
An implementation of a deep learning model for generating images from text descriptions