TediGAN VS collection-of-notebooks

Compare TediGAN vs collection-of-notebooks and see what are their differences.

TediGAN

[CVPR 2021] Pytorch implementation for TediGAN: Text-Guided Diverse Face Image Generation and Manipulation (by IIGROUP)
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TediGAN collection-of-notebooks
1 1
361 103
0.0% -
0.0 1.8
about 1 year ago about 1 year 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.
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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
    21 projects | /r/u_Wiskkey | 3 Apr 2022
    (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.

collection-of-notebooks

Posts with mentions or reviews of collection-of-notebooks. 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
    21 projects | /r/u_Wiskkey | 3 Apr 2022
    (Added Feb. 5, 2021) Text2Image_v3 - Colaboratory by tg_bomze. Uses BigGAN (default) or Sigmoid to generate images. GitHub.

What are some alternatives?

When comparing TediGAN and collection-of-notebooks you can also consider the following projects:

StyleCLIP - Using CLIP and StyleGAN to generate faces from prompts.

aphantasia - CLIP + FFT/DWT/RGB = text to image/video

Colab-deep-daze - Simple command line tool for text to image generation using OpenAI's CLIP and Siren (Implicit neural representation network)

stylized-neural-painting - Official Pytorch implementation of the preprint paper "Stylized Neural Painting", in CVPR 2021.

VectorAscent - Generate vector graphics from a textual caption

StyleCLIP - Official Implementation for "StyleCLIP: Text-Driven Manipulation of StyleGAN Imagery" (ICCV 2021 Oral)

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.

big-sleep - A simple command line tool for text to image generation, using OpenAI's CLIP and a BigGAN. Technique was originally created by https://twitter.com/advadnoun

Story2Hallucination

clipping-CLIP-to-GAN