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

Compare Implicit-Internal-Video-Inpainting vs PEN-Net-for-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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Implicit-Internal-Video-Inpainting PEN-Net-for-Inpainting
4 1
239 343
- 0.0%
0.0 0.0
almost 2 years ago over 2 years ago
Python Python
- MIT License
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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.

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.

What are some alternatives?

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

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

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

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

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

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)