Watermark-Removal-Pytorch
rtdl-revisiting-models
| Watermark-Removal-Pytorch | rtdl-revisiting-models | |
|---|---|---|
| 6 | 1 | |
| 733 | 156 | |
| - | 4.5% | |
| 4.4 | 0.0 | |
| 7 months ago | 5 months ago | |
| Jupyter Notebook | Python | |
| MIT License | Apache License 2.0 |
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Watermark-Removal-Pytorch
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Just saw this Post regarding new Anti-AI Software on Linkedin. What are your opinions on this? Can this even work?
Of course, there are watermark removal tools on Github, so anyone wanting to scrape art for training can just apply it first: https://github.com/braindotai/Watermark-Removal-Pytorch
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Would there be any way to remove the credits from the bottom of the screen in the few opening minutes of a show? Picture example
There is an AI program for this on github -- https://github.com/braindotai/Watermark-Removal-Pytorch/releases/tag/v1.0.0
- Russian missile strike on the house of culture in Lozova
- Ideas to remove watermark from grad photos?
- Amateur here! Is there anyway I can remove this digital clock from my AC90 film footage? The original SD card has since been wiped.
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Malkavian Delirium (By yours truly)
It's trivially easy for AI to remove watermarks without harming the original picture.
rtdl-revisiting-models
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[R] New paper on Tabular DL: "On Embeddings for Numerical Features in Tabular Deep Learning"
JFYI: recently, we have split our codebase into separate projects: - https://github.com/Yura52/rtdl - https://github.com/Yura52/tabular-dl-revisiting-models - (the new one) https://github.com/Yura52/tabular-dl-num-embeddings
What are some alternatives?
fastai - The fastai deep learning library
rtdl-num-embeddings - (NeurIPS 2022) On Embeddings for Numerical Features in Tabular Deep Learning
PySyft - Perform data science on data that remains in someone else's server
rtdl - Research on Tabular Deep Learning (Python package & papers) [Moved to: https://github.com/Yura52/rtdl]
ProPainter - [ICCV 2023] ProPainter: Improving Propagation and Transformer for Video Inpainting
lava-dl - Deep Learning library for Lava
nn - 🧑🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
conformal_classification - Wrapper for a PyTorch classifier which allows it to output prediction sets. The sets are theoretically guaranteed to contain the true class with high probability (via conformal prediction).
YesAI
mnist1d - A 1D analogue of the MNIST dataset for measuring spatial biases and answering Science of Deep Learning questions.
detextify - Remove text from AI-generated images
threat-research-and-intelligence - BlackBerry Threat Research & Intelligence