CLIP-Style-Transfer
Doing style transfer with linguistic features using OpenAI's CLIP. (by Zasder3)
Colab-BigGANxCLIP
By styler00dollar
CLIP-Style-Transfer | Colab-BigGANxCLIP | |
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2 | 1 | |
13 | 2 | |
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0.0 | 10.0 | |
almost 3 years ago | over 3 years ago | |
Jupyter Notebook | 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.
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.
-
test
(Added Mar. 8, 2021) CLIP Style Transfer Test.ipynb - Colaboratory by Zasder3. Uses VGG19's conv4_1 to generate images. GitHub. Twitter reference.
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[Project] Learning Artistic Style From Language Features using CLIP
Code: https://github.com/Zasder3/CLIP-Style-Transfer
Colab-BigGANxCLIP
Posts with mentions or reviews of Colab-BigGANxCLIP.
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. 24, 2021) Colab-BigGANxCLIP.ipynb - Colaboratory by styler00dollar. Uses BigGAN to generate images. "Just a more compressed/smaller version of that [advadnoun's] notebook". GitHub.
What are some alternatives?
When comparing CLIP-Style-Transfer and Colab-BigGANxCLIP 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)
StyleCLIP - Using CLIP and StyleGAN to generate faces from prompts.
StyleCLIP - Official Implementation for "StyleCLIP: Text-Driven Manipulation of StyleGAN Imagery" (ICCV 2021 Oral)
aphantasia - CLIP + FFT/DWT/RGB = text to image/video
stylegan2-clip-approach - Navigating StyleGAN2 w latent space using CLIP
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.
Story2Hallucination
clipping-CLIP-to-GAN
VectorAscent - Generate vector graphics from a textual caption
CLIP-Style-Transfer vs Colab-deep-daze
Colab-BigGANxCLIP vs StyleCLIP
CLIP-Style-Transfer vs StyleCLIP
Colab-BigGANxCLIP vs aphantasia
CLIP-Style-Transfer vs StyleCLIP
Colab-BigGANxCLIP vs stylegan2-clip-approach
CLIP-Style-Transfer vs AuViMi
Colab-BigGANxCLIP vs Story2Hallucination
CLIP-Style-Transfer vs clipping-CLIP-to-GAN
Colab-BigGANxCLIP vs Colab-deep-daze
CLIP-Style-Transfer vs aphantasia
Colab-BigGANxCLIP vs VectorAscent