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".
Code for "OnlineAugment: Online Data Augmentation with Less Domain Knowledge" (ECCV 2020)
Pytorch implimentation of STN bilinear sampler
Tensorflow models for Spatial Transformer Networks
cfah2004ap sample code. Arduino example for RW1063 controller with SPI interface.
Unofficial PyTorch implementation for incorporating a 3D Morphable Model (3DMM) into a Spatial Transformer Network (STN)
Neural Engineering Master Degree Thesis Project "Investigation of intracranial electrophysiological dynamics of the cortico-basal ganglia circuit in Parkinsonian patients performing intraoperative speech production tasks" by Lucia Poma
Spatial Transformer Networks (STN) implementation in TensorFlow
Spatial Transform Networks
Event-driven Space-Terrestrial Network Testbed (ESTNeT)
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