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.

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

This repository provides a Colab Notebook that shows how to use Spatial Transformer Networks inside CNNs in Keras.

Spatial Transformer Nets in TensorFlow/ TensorLayer

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.

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

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

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).