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The main features of leongatys/pytorchneuralstyletransfer are: Generative Models, Image Transformation, Model Implementations.
Projects with overlapping indexed features include: dmitryulyanov/deep-image-prior — This project is an unsupervised image restoration tool that uses a convolutional neural network as a structural prior… caogang/wgan-gp — A pytorch implementation of Paper "Improved Training of Wasserstein GANs". alexis-jacq/pytorch-sketch-rnn. alexis-jacq/pytorch-tutorials. blade6570/photographicimagesynthesiswithcascadedrefinementnetworks-pytorch. bengxy/fastneuralstyle — Fast Neural Style for Image Style Transform by Pytorch.
This project is an unsupervised image restoration tool that uses a convolutional neural network as a structural prior to reconstruct images from noisy or incomplete data. It functions as a neural network image prior, utilizing the inherent biases of the network architecture to restore pixels without the need for a pre-trained dataset or external learning. The system performs zero-shot image restoration by treating the network architecture itself as a regularization term. It uses a randomly initialized encoder-decoder structure and iterative gradient descent to minimize pixel-wise loss, recove
Fast Neural Style for Image Style Transform by Pytorch