Top AI Repos — open-source AI, indexed and scored
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Generative Adversarial Text to Image Synthesis / Please Star -->
| Date | Stars |
|---|---|
| 2026-07-24 | 599 |
| 2026-07-25 | 599 |
| 2026-07-28 | 599 |
| 2026-07-30 | 599 |
| 2026-07-31 | 599 |
| 2026-08-06 | 599 |
Today
— stars today
This week
— stars this week
This month
— stars this month
Momentum
0.0
growth rate 0.00%/day
# Text To Image Synthesis This is a tensorflow implementation of synthesizing images. The images are synthesized using the GAN-CLS Algorithm from the paper [Generative Adversarial Text-to-Image Synthesis][2]. This implementation is built on top of the excellent [DCGAN in Tensorflow][3]. Plese star https://github.com/tensorlayer/tensorlayer  Image Source : [Generative Adversarial Text-to-Image Synthesis][2] Paper ## Requirements - [TensorFlow][4] 1.0+ - [TensorLayer](https://github.com/zsdonghao/tensorlayer) 1.4+ - [NLTK][8] : for tokenizer ## Datasets - The model is currently trained on the [flowers dataset][9]. Download the images from [here][9] and save them in ```102flowers/102flowers/*.jpg```. Also download the captions from [this link][10]. Extract the archive, copy the ```text_c10``` folder and paste it in ```102flowers/text_c10/class_*```. **N.B** You can downloads all data files needed manually or simply run the downloads.py and put the correct files to the right directories. ```python python downloads.py ``` ## Codes - `downloads.py` download Oxford-102 flower dataset and caption files(run this first). - `data_loader.py` load data for further processing. - `train_txt2im.py` train a text to image model. - `utils.py` helper functions. - `model.py` models. ## References - [Generative Adversarial Text-to-Image Synthesis][2] Paper - [Generative Adversarial Text-to-Image Synthesis][11] Torch Code - [Skip Thought Vectors][1] Paper - [Skip Thought Vectors][12] Code - [Generative Adversarial Text-to-Image Synthesis with Skip Thought Vectors](https://github.com/paarthneekhara/text-to-image) TensorFlow code - [DCGAN in Tensorflow][3] ## Results - the flower shown has yellow anther red pistil and bright red petals. - this flower has petals that are yellow, white and purple and has dark lines - the petals on this flower are white with a yellow center - this flower has a lot of small round pink petals. - this flower is orange in color, and has petals that are ruffled and rounded. - the flower has yellow petals and the center of it is brown - this flower has petals that are blue and white. - these white flowers have petals that start off white in color and end in a white towards the tips. <a href="http://tensorlayer.readthedocs.io"> <div align="center"> <img src="result.png" width="70%" height="70%"/> </div> </a> ## License Apache 2.0 [1]:http://arxiv.org/abs/1506.06726 [2]:http://arxiv.org/abs/1605.05396 [3]:https://github.com/zsdonghao/dcgan [4]:https://github.com/tensorflow/tensorflow [5]:http://www.h5py.org/ [6]:https://github.com/Theano/Theano [7]:http://scikit-learn.org/stable/index.html [8]:http://www.nltk.org/ [9]:http://www.robots.ox.ac.uk/~vgg/data/flowers/102/ [10]:https://drive.google.com/file/d/0B0ywwgffWnLLcms2WWJQRFNSWXM/view [11]:https://github.com/reedscot/icml2016 [12]:https://github.com/ryankiros/skip-thoughts [13]:https://github.com/ryankiros/skip-thoughts#getting-started [14]:https://bitbucket.org/paarth_neekhara/texttomimagemodel/raw/74a4bbaeee26fe31e148a54c4f495694680e2c31/latest_model_flowers_temp.ckpt
Excerpt of 3,152 characters
Read on GitHub
Hao · Peking University · China
71
4
2
1
Would you bet a product on this? Bounded 0–100 and slow moving.
matched fp:a17bdfbfdddcaa48, topic:text-to-image, topic:gan, name:text-to-image