A Tensorflow implementation of Spatial Transformer Networks.

PyTorch implementation of Spatial Transformer Network (STN) with Thin Plate Spline (TPS)

The source code for paper "Deep Image Spatial Transformation for Person Image Generation"

🐝Tensorflow Implementation of Spatial Transformer Networks

MatConvNet implementation for incorporating a 3D Morphable Model (3DMM) into a Spatial Transformer Network (STN)

DeepWarp for Facial Expression Manipulation

Lightweight CRNN for OCR (including handwritten text) with depthwise separable convolutions and spatial transformer module [keras+tf]

implement CRNN in Keras with Spatial Transformer Network

Spatial Transformer Networks. Refer to daviddao/spatial-transformer-tensorflow.

Spatial Transformer Nets in TensorFlow/ TensorLayer

CRNN(Convolutional Recurrent Neural Network), with optional STN(Spatial Transformer Network), in Tensorflow, multi-gpu supported.

Experiments on cluttered mnist dataset with Tensorflow.

Diversity in Fashion Recommendation Using Semantic Parsing

Code for the paper entitled "Deep neural network for traffic sign recognition systems: An analysis of spatial transformers and stochastic optimisation methods".

Built and trained a deep neural network to classify traffic signs, using PyTorch. The highlights of this solution would be data preprocessing, trained with heavily augmented data and using Spatial Transformer Network.

Tensorflow models for Spatial Transformer Networks

Pytorch Implementation of Deep neural network for traffic sign recognition systems: An analysis of spatial transformers and stochastic optimisation methods

Spatial Transformer Networks with Affine, Projective and Elastic Transformations in Tensorflow

pytorch STN implement for CUB200 dataset

Large-scale 3D image registration based on spatial transformers and stacked convolutional autoencoders

机器学习

Code for the paper: Foveated Convolutions: Improving Spatial Transformer Networks by Modelling the Retina

A Theano implementation of the paper "Spatial Transformer Networks" by Jaderberg et al..

SCINet is a codebase for models that identify persistent facial skin conditions

Spatial Transformer Networks (STN) implementation in TensorFlow

Classify traffic signs using traditional machine learning method and deep learning methods. [course project of "Media and Recognition"]

A-Very-Deep-Spatial-Transformer-Towards-Robust-Single-Image-Super-Resolution

Spatial transformer CNN in tensorflow. Architecture explored in the early days of the project that led to idtracker.ai (www.idtracker.ai)