stylized-neural-painting VS aphantasia

Compare stylized-neural-painting vs aphantasia and see what are their differences.

stylized-neural-painting

Official Pytorch implementation of the preprint paper "Stylized Neural Painting", in CVPR 2021. (by jiupinjia)

aphantasia

CLIP + FFT/DWT/RGB = text to image/video (by eps696)
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stylized-neural-painting aphantasia
6 21
1,536 769
- -
0.0 3.9
over 2 years ago 7 months ago
Python Python
Creative Commons Zero v1.0 Universal 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.
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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.

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.

aphantasia

Posts with mentions or reviews of aphantasia. 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 stylized-neural-painting and aphantasia you can also consider the following projects:

Primitive Pictures - Reproducing images with geometric primitives.

stylegan - StyleGAN - Official TensorFlow Implementation

Story2Hallucination

DeOldify - A Deep Learning based project for colorizing and restoring old images (and video!)

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

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

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.

Colab-BigGANxCLIP

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

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

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