Awesome-Text-to-Image
(ෆ`꒳´ෆ) A Survey on Text-to-Image Generation/Synthesis. (by Yutong-Zhou-cv)
TediGAN
[CVPR 2021] Pytorch implementation for TediGAN: Text-Guided Diverse Face Image Generation and Manipulation. [Moved to: https://github.com/IIGROUP/TediGAN] (by weihaox)
| Awesome-Text-to-Image | TediGAN | |
|---|---|---|
| 1 | 1 | |
| 1,878 | 259 | |
| - | - | |
| 9.1 | 3.5 | |
| 12 days ago | over 2 years ago | |
| Python | ||
| MIT License | MIT License |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Awesome-Text-to-Image
Posts with mentions or reviews of Awesome-Text-to-Image.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-04-03.
-
List of sites/programs/projects that use OpenAI's CLIP neural network for steering image/video creation to match a text description
(Added Mar. 25, 2022) Awesome Text-to-Image.
TediGAN
Posts with mentions or reviews of TediGAN.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-04-03.
-
List of sites/programs/projects that use OpenAI's CLIP neural network for steering image/video creation to match a text description
(Added Feb. 23, 2021) TediGAN - Colaboratory by weihaox. Uses StyleGAN to generate images. GitHub. I got error "No pre-trained weights found for perceptual model!" when I used the Colab notebook, which was fixed when I made the change mentioned here. After this change, I still got an error in the cell that displays the images, but the results were in the remote file system. Use the "Files" icon on the left to browse the remote file system.
What are some alternatives?
When comparing Awesome-Text-to-Image and TediGAN you can also consider the following projects:
awesome-pretrained-stylegan2 - A collection of pre-trained StyleGAN 2 models to download
dl-colab-notebooks - Try out deep learning models online on Google Colab
ml-art-colabs - A list of Machine Learning Art Colabs
Awesome-CLIP - Awesome list for research on CLIP (Contrastive Language-Image Pre-Training).
Diffusion-Models-Papers-Survey-Taxonomy - Diffusion model papers, survey, and taxonomy
deep-daze - Simple command line tool for text to image generation using OpenAI's CLIP and Siren (Implicit neural representation network). Technique was originally created by https://twitter.com/advadnoun
Awesome-Text-to-Image vs awesome-pretrained-stylegan2
TediGAN vs awesome-pretrained-stylegan2
Awesome-Text-to-Image vs dl-colab-notebooks
TediGAN vs dl-colab-notebooks
Awesome-Text-to-Image vs ml-art-colabs
TediGAN vs Awesome-CLIP
Awesome-Text-to-Image vs Awesome-CLIP
Awesome-Text-to-Image vs Diffusion-Models-Papers-Survey-Taxonomy
Awesome-Text-to-Image vs deep-daze