Unofficial pytorch implementation of 'Arbitrary Style Transfer in Real-time with Adaptive Instance Normalization' [Huang+, ICCV2017]
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Jan 23, 2024 - Python
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Unofficial pytorch implementation of 'Arbitrary Style Transfer in Real-time with Adaptive Instance Normalization' [Huang+, ICCV2017]
[CVPR 2021] Region-aware Adaptive Instance Normalization for Image Harmonization
computer-vision pytorch harmonization normalization instance-normalization image-harmonization cvpr2021
[CVPR2021] Meta Batch-Instance Normalization for Generalizable Person Re-Identification
cvpr normalization maml person-reidentification dg meta-learning re-id normalisation instance-normalization person-reid domain-generalization cvpr2021
Implementation of RevIN is based on TF2.Keras and PyTorch.
The open source code for the paper "Block Attention and Switchable Normalization based Deep Learning Framework for Segmentation of Retinal Vessels"
deep-neural-networks medical-imaging batch-normalization supervised-learning segmentation normalization layer-normalization u-net instance-normalization medical-image-segmentation computer-aided-diagnosis spatial-attention channel-attention retinal-vessel-segmentation regularization-to-avoid-overfitting bfmd-sn-u-net gci-cbam
Layer normalization with einops semantics.
pytorch transformer tensor normalization layer-normalization instance-normalization group-normalization einops
This is an TensorFlow Implementation of Ooze - Handwritten Text Generator by Akshat Surolia, This is an Image to Image translation approach to generate realistic hand written sentences by taking text as an input.
Analysis of different types of common Normalization schemes in Deep Learning
batch-normalization classification resnet cifar10 layer-normalization instance-normalization group-normalization batch-instance-normalization
a Pytorch implementation of neural style mixer
Time Series prediction using Nbeats
A DL project that implements Neural Style Transfer on images using a pretrained model, a VGG19-based architecture, and a Feed-Forward architecture after Johnson et al. (2016). The different models utilize custom TensorFlow training loops, cost functions and layers (InstanceNormalization). Various tendencies of such architectures are discussed.
Image style transfer using deep learning
data-science machine-learning computer-vision deep-learning cnn style-transfer instance-normalization
My university final year project 'An Implementation of Multiple Improvements to Neural Style Transfer.'
machine-learning computer-vision neural-network tensorflow jupyter-notebook style-transfer neural-networks fast-neural-style neural-style-transfer instance-normalization vgg-19
CPP OpenGL UI framework, used to build a style transfer app.
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