A Tensorflow implementation of Spatial Transformer Networks.
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Updated
Jun 2, 2018 - Python
A Tensorflow implementation of Spatial Transformer Networks.
MatConvNet implementation for incorporating a 3D Morphable Model (3DMM) into a Spatial Transformer Network (STN)
implement CRNN in Keras with Spatial Transformer Network
Lightweight CRNN for OCR (including handwritten text) with depthwise separable convolutions and spatial transformer module [keras+tf]
[CVPR2020] Unsupervised Multi-Modal Image Registration via Geometry Preserving Image-to-Image Translation
Spatial Transformer Networks. Refer to daviddao/spatial-transformer-tensorflow.
PyTorch implementation of the descriptor DEAL presented at NeurIPS 2021 "Extracting Deformation-Aware Local Features by Learning to Deform".
Pytorch implimentation of STN bilinear sampler
Code for "OnlineAugment: Online Data Augmentation with Less Domain Knowledge" (ECCV 2020)
Tensorflow models for Spatial Transformer Networks
Spatial Transformer Networks (STN) implementation in TensorFlow
Spatial Transform Networks
Unofficial PyTorch implementation for incorporating a 3D Morphable Model (3DMM) into a Spatial Transformer Network (STN)
cfah2004ap sample code. Arduino example for RW1063 controller with SPI interface.
Event-driven Space-Terrestrial Network Testbed (ESTNeT)
pytorch STN implement for CUB200 dataset
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