style-transfer-video-processor VS stylized-neural-painting

Compare style-transfer-video-processor vs stylized-neural-painting and see what are their differences.

style-transfer-video-processor

This code extends the neural style transfer image processing technique to video by generating smooth transitions between several reference style images (by westgarthb)

stylized-neural-painting

Official Pytorch implementation of the preprint paper "Stylized Neural Painting", in CVPR 2021. (by jiupinjia)
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style-transfer-video-processor stylized-neural-painting
7 6
148 1,553
- -
1.8 0.0
almost 3 years ago almost 3 years ago
Python Python
GNU General Public License v3.0 only Creative Commons Zero v1.0 Universal
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.

style-transfer-video-processor

Posts with mentions or reviews of style-transfer-video-processor. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-10-28.

stylized-neural-painting

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

What are some alternatives?

When comparing style-transfer-video-processor and stylized-neural-painting you can also consider the following projects:

dream-creator - Quickly and easily create / train a custom DeepDream model

Primitive Pictures - Reproducing images with geometric primitives.

Story2Hallucination

deep-daze - Simple command line tool for text to image generation using OpenAI's CLIP and Siren (Implicit neural representation network). Technique was originally created by https://twitter.com/advadnoun

Styleformer - A Neural Language Style Transfer framework to transfer natural language text smoothly between fine-grained language styles like formal/casual, active/passive, and many more. Created by Prithiviraj Damodaran. Open to pull requests and other forms of collaboration.

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

pytorch-AdaIN - Unofficial pytorch implementation of 'Arbitrary Style Transfer in Real-time with Adaptive Instance Normalization' [Huang+, ICCV2017]

rome - Realistic mesh-based avatars. ECCV 2022

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

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

collection-of-notebooks - Сollection of various notebooks

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

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InfluxDB - Power Real-Time Data Analytics at Scale
Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
www.influxdata.com
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