Awesome-Image-Inpainting
ProPainter
| Awesome-Image-Inpainting | ProPainter | |
|---|---|---|
| 3 | 2 | |
| 1,736 | 4,665 | |
| - | - | |
| 2.7 | 6.6 | |
| 3 months ago | 22 days ago | |
| Python | Python | |
| - | GNU General Public License v3.0 or later |
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Awesome-Image-Inpainting
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MagicEdit: High-Fidelity Temporally Coherent Video Editing
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.
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Implemented approaches to reconstructing missing parts in an image
Image in-painting is the keyword I think you are looking for. This github repo has a bunch of links to different implementations.
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[Research] NN to extrapolate painting
I am not an expert on this, but this repo lists the latest Image Inpainting methods https://github.com/1900zyh/Awesome-Image-Inpainting.
ProPainter
What are some alternatives?
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awesome-ml4co - Awesome machine learning for combinatorial optimization papers.
E2FGVI - Official code for "Towards An End-to-End Framework for Flow-Guided Video Inpainting" (CVPR2022)
PEN-Net-for-Inpainting - [CVPR'2019] PEN-Net: Learning Pyramid-Context Encoder Network for High-Quality Image Inpainting
Implicit-Internal-Video-Inpainting - [ICCV 2021]: IIVI: Internal Video Inpainting by Implicit Long-range Propagation
GNNPapers - Must-read papers on graph neural networks (GNN)
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