TargetCLIP VS natural-language-youtube-search

Compare TargetCLIP vs natural-language-youtube-search and see what are their differences.

TargetCLIP

[ECCV 2022] Official PyTorch implementation of the paper Image-Based CLIP-Guided Essence Transfer. (by hila-chefer)
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TargetCLIP natural-language-youtube-search
3 6
228 895
- -
0.0 0.0
over 1 year ago over 2 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.

TargetCLIP

Posts with mentions or reviews of TargetCLIP. We have used some of these posts to build our list of alternatives and similar projects.

natural-language-youtube-search

Posts with mentions or reviews of natural-language-youtube-search. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-01-11.

What are some alternatives?

When comparing TargetCLIP and natural-language-youtube-search you can also consider the following projects:

naver-webtoon-faces - Generative models on NAVER Webtoon faces

CLIP - CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image

clip-italian - CLIP (Contrastive Language–Image Pre-training) for Italian

natural-language-image-search - Search photos on Unsplash using natural language

DualStyleGAN - [CVPR 2022] Pastiche Master: Exemplar-Based High-Resolution Portrait Style Transfer

Queryable - Run OpenAI's CLIP model on iOS to search photos.

Text2LIVE - Official Pytorch Implementation for "Text2LIVE: Text-Driven Layered Image and Video Editing" (ECCV 2022 Oral)