natural-language-youtube-search VS TargetCLIP

Compare natural-language-youtube-search vs TargetCLIP 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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natural-language-youtube-search TargetCLIP
6 3
895 228
- -
0.0 0.0
over 2 years ago over 1 year 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.

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.

TargetCLIP

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

What are some alternatives?

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

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

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

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

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

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

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

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