CLIP-Style-Transfer VS AuViMi

Compare CLIP-Style-Transfer vs AuViMi and see what are their differences.

CLIP-Style-Transfer

Doing style transfer with linguistic features using OpenAI's CLIP. (by Zasder3)
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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)
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CLIP-Style-Transfer AuViMi
2 1
13 9
- -
0.0 0.0
almost 3 years ago almost 3 years ago
Jupyter Notebook Python
MIT License GNU General Public License v3.0 only
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CLIP-Style-Transfer

Posts with mentions or reviews of CLIP-Style-Transfer. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-04-03.

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
    21 projects | /r/u_Wiskkey | 3 Apr 2022
    (Added Mar. 16, 2021) AuViMi by NotNANtoN. Uses BigGAN or SIREN to generate images.

What are some alternatives?

When comparing CLIP-Style-Transfer and AuViMi you can also consider the following projects:

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

stylegan2-clip-approach - Navigating StyleGAN2 w latent space using CLIP

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

VectorAscent - Generate vector graphics from a textual caption

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

Colab-BigGANxCLIP

clipping-CLIP-to-GAN

TediGAN - [CVPR 2021] Pytorch implementation for TediGAN: Text-Guided Diverse Face Image Generation and Manipulation

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

clip-glass - Repository for "Generating images from caption and vice versa via CLIP-Guided Generative Latent Space Search"

random-colabs

CLIP-Style-Transfer vs Colab-deep-daze AuViMi vs stylegan2-clip-approach CLIP-Style-Transfer vs StyleCLIP AuViMi vs VectorAscent CLIP-Style-Transfer vs StyleCLIP AuViMi vs Colab-BigGANxCLIP CLIP-Style-Transfer vs clipping-CLIP-to-GAN AuViMi vs TediGAN CLIP-Style-Transfer vs aphantasia AuViMi vs Colab-deep-daze CLIP-Style-Transfer vs clip-glass AuViMi vs random-colabs