facexlib VS mmagic

Compare facexlib vs mmagic and see what are their differences.

facexlib

FaceXlib aims at providing ready-to-use face-related functions based on current STOA open-source methods. (by xinntao)
Pytorch Deep Learning Face Detection Alignment recognition Parsing matting headpose Tracking assessment
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mmagic

OpenMMLab Multimodal Advanced, Generative, and Intelligent Creation Toolbox. Unlock the magic 🪄: Generative-AI (AIGC), easy-to-use APIs, awsome model zoo, diffusion models, for text-to-image generation, image/video restoration/enhancement, etc. (by open-mmlab)
super-resolution inpainting matting image-generation generative-adversarial-network Pytorch Deep Learning video-interpolation video-frame-interpolation video-super-resolution Computer Vision Image Editing Image processing image-synthesis diffusion text2image aigc generative-ai diffusion-models
Source Code
mmagic.readthedocs.io
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facexlib mmagic
3 5
744 6,588
- 1.1%
1.9 8.7
2 months ago about 2 months ago
Python Jupyter Notebook
MIT License 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.
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facexlib

Posts with mentions or reviews of facexlib. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-07-16.

mmagic

Posts with mentions or reviews of mmagic. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-12-18.

What are some alternatives?

When comparing facexlib and mmagic you can also consider the following projects:

DECA - DECA: Detailed Expression Capture and Animation (SIGGRAPH 2021)

a-PyTorch-Tutorial-to-Super-Resolution - Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network | a PyTorch Tutorial to Super-Resolution

facematch - Facematch is a tool to verifies if two photos contain the same person.

Real-ESRGAN - Real-ESRGAN aims at developing Practical Algorithms for General Image/Video Restoration.

labelImg - LabelImg is now part of the Label Studio community. The popular image annotation tool created by Tzutalin is no longer actively being developed, but you can check out Label Studio, the open source data labeling tool for images, text, hypertext, audio, video and time-series data.

Image-Super-Resolution-via-Iterative-Refinement - Unofficial implementation of Image Super-Resolution via Iterative Refinement by Pytorch

pytorch-deep-image-matting - Pytorch implementation of deep image matting

Real-ESRGAN-colab - A Real-ESRGAN model trained on a custom dataset

GFPGAN - GFPGAN aims at developing Practical Algorithms for Real-world Face Restoration.

cnn-watermark-removal - Fully convolutional deep neural network to remove transparent overlays from images

Deep-Exemplar-based-Video-Colorization - The source code of CVPR 2019 paper "Deep Exemplar-based Video Colorization".

contrastive-unpaired-translation - Contrastive unpaired image-to-image translation, faster and lighter training than cyclegan (ECCV 2020, in PyTorch)

facexlib vs DECA mmagic vs a-PyTorch-Tutorial-to-Super-Resolution facexlib vs facematch mmagic vs Real-ESRGAN facexlib vs labelImg mmagic vs Image-Super-Resolution-via-Iterative-Refinement facexlib vs pytorch-deep-image-matting mmagic vs Real-ESRGAN-colab facexlib vs GFPGAN mmagic vs cnn-watermark-removal mmagic vs Deep-Exemplar-based-Video-Colorization mmagic vs contrastive-unpaired-translation