An unofficial PyTorch implementation of VoxelMorph- An unsupervised 3D deformable image registration method
pytorch image-registration ieeetran cvpr2018 spatial-transformer-networks deformable-image-registration voxel-morph
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spatial-transformer-networks
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Image-and-Spatial Transformer Networks
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Code for the paper "KISS: Keeping it Simple for Scene Text Recognition"
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Image, point set, and surface registration in PyTorch.
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Unofficial PyTorch implementation for incorporating a 3D Morphable Model (3DMM) into a Spatial Transformer Network (STN)
machine-learning deep-neural-networks computer-vision deep-learning pytorch face convolutional-neural-network 3d-morphable-face-model stn siamese-network basel-face-model 3d-morphable-models vgg-face pytorch-implementation spatial-transformer-networks
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Implementation of STN (Spatial Transformer Network) and ICSTN (Inverse Compositional Spatial Transformer Networks) in Tensorlayer to predict transformation parameters from 2D images.
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Recognizing traffic signs with deep learning and PyTorch using Spatial Transformer Convolutional Neural Networks.
python computer-vision deep-learning pytorch neural-networks image-recognition convolutional-neural-networks spatial-transformer-networks
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ML framework to estimate Bayesian posteriors of galaxy morphological parameters
deep-neural-networks pytorch astrophysics uncertainty-neural-networks galaxy-morphology spatial-transformer-networks
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Foveated Spatial Transformers
machine-learning computer-vision deep-learning convolutional-neural-networks stn spatial-transformer-networks bio-inspired-vision foveated-spatial-transformer
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This study aims to show that group equivariant CNNs outperform spatial transformers, on tasks which demand rotation invariance, by providing theoretical background and experimental performance comparison with detailed analysis.
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My thesis code for Traffic Sign Recognition using 2 different datasets (GTSRB and DFG) and different kinds of models (CNN, STN, ViT).
machine-learning deep-learning cnn classification traffic-sign-recognition gtsrb-dataset spatial-transformer-networks vision-transformer
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GAN-based image composition via Spatial Transformer Networks: multi-resolution HomographyNet predicts affine/homography warp, WGAN-GP discriminator enforces photorealism. Trained on CelebA to composite glasses onto faces.
python computer-vision deep-learning tensorflow gan celeba homography wgan-gp image-composition spatial-transformer-networks
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Spatial Transformer Networks (STN) implementation in TensorFlow
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Built a multi-step solar energy predictor using Spatial-Temporal Transformers, fusing deep learning with real-world sustainability.
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About Image, point set, and surface registration in Paddle.
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- Python
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