TediGAN
[CVPR 2021] Pytorch implementation for TediGAN: Text-Guided Diverse Face Image Generation and Manipulation (by IIGROUP)
random-colabs
By EvgenyKashin
TediGAN | random-colabs | |
---|---|---|
1 | 1 | |
361 | 14 | |
0.0% | - | |
0.0 | 10.0 | |
about 1 year ago | about 3 years ago | |
Python | Jupyter Notebook | |
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.
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.
random-colabs
Posts with mentions or reviews of random-colabs.
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. 23, 2021) ClipMeshOptimize.ipynb - Colaboratory by EvgenyKashin. Uses PyTorch3D to generate images. GitHub.
What are some alternatives?
When comparing TediGAN and random-colabs you can also consider the following projects:
StyleCLIP - Using CLIP and StyleGAN to generate faces from prompts.
VectorAscent - Generate vector graphics from a textual caption
Colab-deep-daze - Simple command line tool for text to image generation using OpenAI's CLIP and Siren (Implicit neural representation network)
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.
aphantasia - CLIP + FFT/DWT/RGB = text to image/video
Story2Hallucination
stylegan2-clip-approach - Navigating StyleGAN2 w latent space using CLIP
clipping-CLIP-to-GAN
TediGAN vs StyleCLIP
random-colabs vs VectorAscent
TediGAN vs Colab-deep-daze
random-colabs vs Colab-deep-daze
TediGAN vs VectorAscent
random-colabs vs StyleCLIP
TediGAN vs AuViMi
random-colabs vs aphantasia
TediGAN vs Story2Hallucination
random-colabs vs stylegan2-clip-approach
TediGAN vs clipping-CLIP-to-GAN
random-colabs vs AuViMi