DeepCreamPy VS Awesome-Image-Inpainting

Compare DeepCreamPy vs Awesome-Image-Inpainting and see what are their differences.

DeepCreamPy

Decensoring Hentai with Deep Neural Networks (by deeppomf)

Awesome-Image-Inpainting

A curated list of image inpainting and video inpainting papers and resources (by zengyh1900)
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DeepCreamPy Awesome-Image-Inpainting
19 3
10,828 1,733
- -
0.4 2.7
about 3 years ago 3 months ago
Python Python
GNU Affero General Public License v3.0 -
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.

DeepCreamPy

Posts with mentions or reviews of DeepCreamPy. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-03-19.

Awesome-Image-Inpainting

Posts with mentions or reviews of Awesome-Image-Inpainting. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-08-29.
  • MagicEdit: High-Fidelity Temporally Coherent Video Editing
    2 projects | news.ycombinator.com | 29 Aug 2023
    I have been reading a lot of adjacent papers to this recently. Here is a useful collection for anyone interested: https://github.com/zengyh1900/Awesome-Image-Inpainting

    I have noticed an overwhelming trend that the vast majority of authors tend to be Chinese sounding names even when associated with an US based university. Obviously some of those could be Americans as well but it stood out to such a degree I was curious if anyone had any insight.

    Also if there is code (this projects links to github but it's empty), it tends to be basically abandonware once these papers are published with no effort towards commercializing or turning into healthy open source projects for some reason.

  • Implemented approaches to reconstructing missing parts in an image
    1 project | /r/computervision | 10 Feb 2022
    Image in-painting is the keyword I think you are looking for. This github repo has a bunch of links to different implementations.
  • [Research] NN to extrapolate painting
    1 project | /r/MachineLearning | 13 Feb 2021
    I am not an expert on this, but this repo lists the latest Image Inpainting methods https://github.com/1900zyh/Awesome-Image-Inpainting.

What are some alternatives?

When comparing DeepCreamPy and Awesome-Image-Inpainting you can also consider the following projects:

hent-AI - Automation of censor bar detection

DeepMosaics - Automatically remove the mosaics in images and videos, or add mosaics to them.

image-super-resolution - 🔎 Super-scale your images and run experiments with Residual Dense and Adversarial Networks.

ProPainter - [ICCV 2023] ProPainter: Improving Propagation and Transformer for Video Inpainting

Enma - Enma is a Python library designed to fetch and download manga and doujinshi data from many sources including Manganato and NHentai.

ABigSurvey - A collection of 1000+ survey papers on Natural Language Processing (NLP) and Machine Learning (ML).

Spectrum - Spectrum is an AI that uses machine learning to generate Rap song lyrics

awesome-ml4co - Awesome machine learning for combinatorial optimization papers.

kurby - A modern CLI to download animes automatically from Twist

PEN-Net-for-Inpainting - [CVPR'2019] PEN-Net: Learning Pyramid-Context Encoder Network for High-Quality Image Inpainting

co-mod-gan - [ICLR 2021, Spotlight] Large Scale Image Completion via Co-Modulated Generative Adversarial Networks

GNNPapers - Must-read papers on graph neural networks (GNN)