TediGAN
[CVPR 2021] Pytorch implementation for TediGAN: Text-Guided Diverse Face Image Generation and Manipulation (by IIGROUP)
AuViMi
AuViMi stands for audio-visual mirror. The idea is to have CLIP generate its interpretation of what your webcam sees, combined with the words thare are spoken. (by NotNANtoN)
TediGAN | AuViMi | |
---|---|---|
1 | 1 | |
361 | 9 | |
0.0% | - | |
0.0 | 0.0 | |
about 1 year ago | almost 3 years ago | |
Python | Python | |
MIT License | GNU General Public License v3.0 only |
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.
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.
-
test
(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.
AuViMi
Posts with mentions or reviews of AuViMi.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-04-03.
-
test
(Added Mar. 16, 2021) AuViMi by NotNANtoN. Uses BigGAN or SIREN to generate images.
What are some alternatives?
When comparing TediGAN and AuViMi you can also consider the following projects:
StyleCLIP - Using CLIP and StyleGAN to generate faces from prompts.
stylegan2-clip-approach - Navigating StyleGAN2 w latent space using CLIP
Colab-deep-daze - Simple command line tool for text to image generation using OpenAI's CLIP and Siren (Implicit neural representation network)
CLIP-Style-Transfer - Doing style transfer with linguistic features using OpenAI's CLIP.
VectorAscent - Generate vector graphics from a textual caption
Story2Hallucination
Colab-BigGANxCLIP
clipping-CLIP-to-GAN
stylized-neural-painting - Official Pytorch implementation of the preprint paper "Stylized Neural Painting", in CVPR 2021.
random-colabs
TediGAN vs StyleCLIP
AuViMi vs stylegan2-clip-approach
TediGAN vs Colab-deep-daze
AuViMi vs CLIP-Style-Transfer
TediGAN vs VectorAscent
AuViMi vs VectorAscent
TediGAN vs Story2Hallucination
AuViMi vs Colab-BigGANxCLIP
TediGAN vs clipping-CLIP-to-GAN
AuViMi vs Colab-deep-daze
TediGAN vs stylized-neural-painting
AuViMi vs random-colabs