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orobix/Visual-Feature-Attribution-Using-Wasserstein-GANs-Pytorch

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91 estrellas·24 forks·Python·MIT·5 vistas

Visual Feature Attribution Using Wasserstein GANs Pytorch

This code aims to reproduce results obtained in the paper "Visual Feature Attribution using Wasserstein GANs" (official repo, TensorFlow code)

Features

  • Computer Vision Research - Visual feature attribution using Wasserstein GANs.
  • Generative Models - Visual feature attribution using WGANs.
  • Model Implementations - Visual feature attribution using GANs.

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Preguntas frecuentes

¿Qué hace orobix/visual-feature-attribution-using-wasserstein-gans-pytorch?

This code aims to reproduce results obtained in the paper "Visual Feature Attribution using Wasserstein GANs" (official repo, TensorFlow code)

¿Cuáles son las características principales de orobix/visual-feature-attribution-using-wasserstein-gans-pytorch?

Las características principales de orobix/visual-feature-attribution-using-wasserstein-gans-pytorch son: Computer Vision Research, Generative Models, Model Implementations.

¿Qué alternativas de código abierto existen para orobix/visual-feature-attribution-using-wasserstein-gans-pytorch?

Las alternativas de código abierto para orobix/visual-feature-attribution-using-wasserstein-gans-pytorch incluyen: yunjey/stargan — StarGAN is a PyTorch image-to-image translation framework designed to synthesize visual styles and attributes across… dmitryulyanov/deep-image-prior — This project is an unsupervised image restoration tool that uses a convolutional neural network as a structural prior… blade6570/photographicimagesynthesiswithcascadedrefinementnetworks-pytorch. alexis-jacq/pytorch-tutorials. bengxy/fastneuralstyle — Fast Neural Style for Image Style Transform by Pytorch. alexis-jacq/pytorch-sketch-rnn.