CLIP-Style-Transfer vs VectorAscent

CLIP-Style-Transfer

Doing style transfer with linguistic features using OpenAI's CLIP. (by Zasder3)

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VectorAscent

Generate vector graphics from a textual caption (by ajayjain)

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CLIP-Style-Transfer		VectorAscent
	Project
2	Mentions	3
13	Stars	113
-	Growth	-
0.0	Activity	0.0
almost 3 years ago	Latest Commit	almost 3 years ago
Jupyter Notebook	Language	Python
MIT License	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.

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
21 projects | /r/u_Wiskkey | 3 Apr 2022

(Added Mar. 8, 2021) CLIP Style Transfer Test.ipynb - Colaboratory by Zasder3. Uses VGG19's conv4_1 to generate images. GitHub. Twitter reference.
[Project] Learning Artistic Style From Language Features using CLIP
1 project | /r/MachineLearning | 8 Mar 2021

Code: https://github.com/Zasder3/CLIP-Style-Transfer

VectorAscent

Posts with mentions or reviews of VectorAscent. 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. 9, 2021) VectorAscent by ajayjain. Uses diffvg to generate images.
Idea for developers: Use CLIP to steer a differentiable vector graphics generator
3 projects | /r/MediaSynthesis | 8 Mar 2021

For future reference the actual code is here: https://github.com/ajayjain/VectorAscent

What are some alternatives?

When comparing CLIP-Style-Transfer and VectorAscent 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 - Official Implementation for "StyleCLIP: Text-Driven Manipulation of StyleGAN Imagery" (ICCV 2021 Oral)

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

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

random-colabs

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.

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

clipping-CLIP-to-GAN

DALLECLIP

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