Awesome-Image-Inpainting VS StableVideo

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

Awesome-Image-Inpainting

A curated list of image inpainting and video inpainting papers and resources (by zengyh1900)

StableVideo

[ICCV 2023] StableVideo: Text-driven Consistency-aware Diffusion Video Editing (by rese1f)
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Awesome-Image-Inpainting StableVideo
3 7
1,736 1,327
- -
2.7 6.4
3 months ago 8 months ago
Python Python
- Apache License 2.0
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.

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.

StableVideo

Posts with mentions or reviews of StableVideo. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-08-29.

What are some alternatives?

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

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

MotionDiffuse - MotionDiffuse: Text-Driven Human Motion Generation with Diffusion Model

DeepCreamPy - Decensoring Hentai with Deep Neural Networks

DiffSinger - DiffSinger: Singing Voice Synthesis via Shallow Diffusion Mechanism (SVS & TTS); AAAI 2022; Official code

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

PaddleNLP - πŸ‘‘ Easy-to-use and powerful NLP and LLM library with πŸ€— Awesome model zoo, supporting wide-range of NLP tasks from research to industrial applications, including πŸ—‚Text Classification, πŸ” Neural Search, ❓ Question Answering, ℹ️ Information Extraction, πŸ“„ Document Intelligence, πŸ’Œ Sentiment Analysis etc.

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

ReVersion - ReVersion: Diffusion-Based Relation Inversion from Images

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

ReuseAndDiffuse - Reuse and Diffuse: Iterative Denoising for Text-to-Video Generation

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

LAMP - Official implement code of LAMP: Learn a Motion Pattern by Few-Shot Tuning a Text-to-Image Diffusion Model (Few-shot-based text-to-video diffusion)