mmagic VS cnn-watermark-removal

Compare mmagic vs cnn-watermark-removal and see what are their differences.

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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cnn-watermark-removal

Fully convolutional deep neural network to remove transparent overlays from images (by marcbelmont)
Tensorflow densenet dilatednet Watermark inpainting fully-convolutional-network
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mmagic cnn-watermark-removal
5 1
6,588 1,216
1.1% -
8.7 0.0
about 2 months ago about 3 years ago
Jupyter Notebook Python
Apache License 2.0 -
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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.

cnn-watermark-removal

Posts with mentions or reviews of cnn-watermark-removal. We have used some of these posts to build our list of alternatives and similar projects.
  • A minute of silence for this person please
    1 project | /r/premiere | 15 Oct 2021
    There actually should be a way to remove static watermarks, at least there are AI libraries to to do so with still images, like https://github.com/marcbelmont/cnn-watermark-removal. The result will be mediocre, and it's gonna take enormous amount of time to clean up though.

What are some alternatives?

When comparing mmagic and cnn-watermark-removal you can also consider the following projects:

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

ImageAI - A python library built to empower developers to build applications and systems with self-contained Computer Vision capabilities

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

pytorch2keras - PyTorch to Keras model convertor

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

python_cli_video_editor - A CLI video editor written in the Python Language.

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

telewater - A telegram bot that applies watermark on images, gifs, and videos.

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

blind_watermark - Blind&Invisible Watermark ，图片盲水印，提取水印无须原图！

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

segmentation_models - Segmentation models with pretrained backbones. Keras and TensorFlow Keras.

mmagic vs a-PyTorch-Tutorial-to-Super-Resolution cnn-watermark-removal vs ImageAI mmagic vs Real-ESRGAN cnn-watermark-removal vs pytorch2keras mmagic vs Image-Super-Resolution-via-Iterative-Refinement cnn-watermark-removal vs python_cli_video_editor mmagic vs Real-ESRGAN-colab cnn-watermark-removal vs telewater mmagic vs Deep-Exemplar-based-Video-Colorization cnn-watermark-removal vs blind_watermark mmagic vs contrastive-unpaired-translation cnn-watermark-removal vs segmentation_models