PEN-Net-for-Inpainting VS Implicit-Internal-Video-Inpainting

Compare PEN-Net-for-Inpainting vs Implicit-Internal-Video-Inpainting and see what are their differences.

PEN-Net-for-Inpainting

[CVPR'2019] PEN-Net: Learning Pyramid-Context Encoder Network for High-Quality Image Inpainting (by researchmm)
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PEN-Net-for-Inpainting Implicit-Internal-Video-Inpainting
1 4
343 239
0.0% -
0.0 0.0
over 2 years ago almost 2 years ago
Python Python
MIT License -
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PEN-Net-for-Inpainting

Posts with mentions or reviews of PEN-Net-for-Inpainting. We have used some of these posts to build our list of alternatives and similar projects.

Implicit-Internal-Video-Inpainting

Posts with mentions or reviews of Implicit-Internal-Video-Inpainting. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing PEN-Net-for-Inpainting and Implicit-Internal-Video-Inpainting you can also consider the following projects:

generative-inpainting-pytorch - A PyTorch reimplementation for paper Generative Image Inpainting with Contextual Attention (https://arxiv.org/abs/1801.07892)

WebmGenerator - UI and Automation to cut, filter and join high quality webms, mp4s or gifs.

Awesome-Image-Inpainting - A curated list of image inpainting and video inpainting papers and resources

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

Robo-Semantic-Segmentation - Just a simple semantic segmentation library that I developed to speed up the image segmentation pipeline

caer - High-performance Vision library in Python. Scale your research, not boilerplate.

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

StableVideo - [ICCV 2023] StableVideo: Text-driven Consistency-aware Diffusion Video Editing

crispy - Crispy is a machine-learning algorithm to make video-games montages efficiently. It uses a neural network to detect highlights in the video-game frames

tdanet - The pytorch implementation of the paper "text-guided neural image inpainting" at MM'2020 (oral)