There are 2 repositories under spatial-transformer-network topic.
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
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.
CRNN(Convolutional Recurrent Neural Network), with optional STN(Spatial Transformer Network), in Tensorflow, multi-gpu supported.
Spatial Transformer Nets in TensorFlow/ TensorLayer
This repository provides a Colab Notebook that shows how to use Spatial Transformer Networks inside CNNs in Keras.
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.
PyTorch implementation of the descriptor DEAL presented at NeurIPS 2021 "Extracting Deformation-Aware Local Features by Learning to Deform".
Diversity in Fashion Recommendation Using Semantic Parsing
Experiments on cluttered mnist dataset with Tensorflow.
Pytorch Implementation of Deep neural network for traffic sign recognition systems: An analysis of spatial transformers and stochastic optimisation methods
Tensorflow models for Spatial Transformer Networks
Spatial Transformer Networks with Affine, Projective and Elastic Transformations in Tensorflow
Codebase for "Decoding language spatial relations to 2D spatial arrangements" (Findings of EMNLP 2020).
Code for the paper: Foveated Convolutions: Improving Spatial Transformer Networks by Modelling the Retina
pytorch STN implement for CUB200 dataset
Large-scale 3D image registration based on spatial transformers and stacked convolutional autoencoders
A Spatial Transformer for pytorch that learns a perspective transformation instead of an affine one.
Code for paper "Vis-IR Images Registration via Multi-scale Generative Adversial Network" Chao X.,Hanlin Z.,Ke Z.
A-Very-Deep-Spatial-Transformer-Towards-Robust-Single-Image-Super-Resolution
Stanford CS 230 Group Project
机器学习
Demo of deformable registration methods utilizing voxelmorph
A Theano implementation of the paper "Spatial Transformer Networks" by Jaderberg et al..
Implemenation of spatial transformers and explanation for the Vision transformers
MNIST benchmarks with Spatial Transformer Networks, Vision Transformers and SpinalNets, with model modifications including CoordConv layers.
Keras implementation of the spatial transformer network.
Classify traffic signs using traditional machine learning method and deep learning methods. [course project of "Media and Recognition"]