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Implementation for "Generating Multiple Objects at Spatially Distinct Locations" (ICLR 2019)
Re-implementation of https://github.com/zsdonghao/text-to-image
Google Summer of Code 2019 with TensorFlow: Final Work Product
StackGAN++ implementation in Tensorflow
Chainer implementation of StackGAN
In terms of specific text description to generate corresponding images.
Implementation of "なんちゃって" StackGAN model using Keras
Implementation of StackGANs for text-to-image generation in Tensorflow
Investigating how different loss functions (including Wasserstein loss) affect StackGAN model
Tensorflow's 2.0 implementation of StackGANv2
Perception.AI is a text-to-image project, in which Attention GAN has been implemented. It takes in image caption as an input, and the GAN model generates a corresponding image. The model has been trained on CUB dataset, and thus is limited to generating bird images as of now. In the future, the project has a wider scope of having a generalized version, where the model will generate images of entities across the world.
It is a Python Tkinter based desktop application that helps to identify criminal using deep learning algorithms based on eye witness information.
Image Processing Project on Exploring GANs. Here we have explored two different GANs - StackGAN for Text to Image Generation & SGAN for solving class imbalance
StackGAN: Text to Photo-realistic Image Synthesis with Stacked Generative Adversarial Networks