Hungryof

An implementation for Learn-To-Diffuse : A New Perspective to Design PDE System for Visual Analysis

Record what papers I read every day.

Tensors and Dynamic neural networks in Python with strong GPU acceleration

PyTorch implementation of Deformable Convolution

A flexible tool for creating, organizing, and sharing visualizations of live, rich data. Supports Torch and Numpy.

Awesome Crowd Counting

Code for Perspective-Guided Convolution Networks for Crowd Counting (ICCV 2019)

Superpixel Pooling implemented in PyTorch and Chainer

SC-FEGAN : Face Editing Generative Adversarial Network with User's Sketch and Color

Image-to-image translation in PyTorch (e.g., horse2zebra, edges2cats, and more)

Single Image Crowd Counting via MCNN (Unofficial Implementation)

This project is an implementation of the crowd counting model proposed in our CVPR 2017 paper - Switching Convolutional Neural Network(SCNN) for Crowd Counting. SCNN is an adaptation of the fully-convolutional neural network and uses an expert CNN that chooses the best crowd density CNN regressor for parts of the scene from a bag of regressors. This helps it tackle intra-scene crowd density variation and obtain SOTA results

Pytorch implementation of Shift-Net: Image Inpainting via Deep Feature Rearrangement (ECCV, 2018)

Inception Score for GANs in Pytorch

Perspective-Aware CNN for Crowd Counting

This is a pytorch version of the Generative Image Inpainting with Contextual Attention

The Hitchiker's Guide to PyTorch

Code for replication of the paper "The relativistic discriminator: a key element missing from standard GAN"

Datasets, Transforms and Models specific to Computer Vision

Chainer Implementation of Parallel Grid Pooling for Data Augmentation

Avatar-Net: Multi-scale Zero-shot Style Transfer by Feature Decoration

记录英文论文中常用的词句

:pencil2: Neural Style Transfer: A Review

You can try inpainting easily.

Pytorch implementation of the U-Net for image semantic segmentation, with dense CRF post-processing

sketch + style = paints :art:

A Python toolbox for gaining geometric insights into high-dimensional data

Shift-Net: Image Inpainting via Deep Feature Rearrangement

Generative Image Inpainting with Contextual Attention https://arxiv.org/abs/1801.07892, demo: http://jhyu.me/demo

Style transfer, deep learning, feature transform