Implementation for "Generating Multiple Objects at Spatially Distinct Locations" (ICLR 2019)
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Updated
Jan 13, 2022 - Python
Implementation for "Generating Multiple Objects at Spatially Distinct Locations" (ICLR 2019)
Generating images from text using AttnGAN. (Inference only)
Text-to-face implementation using AttnGan architecture.
Tensorflow implementation of Attribute-Controlled Traffic Data Augmentation Using Conditional Generative Models
This repo contains code of Auria Kathi - The first Artificial Poet Artist
Deep representation of visual and textual descriptions using StackGAN
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 v…
NYU ITP 2019 Thesis. An interactive experience to see how machine interpret one thing differently from human
A GUI for getting prediction from https://github.com/taoxugit/AttnGAN with single caption input.
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