Project for Digital Image Processing
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Updated
May 22, 2022 - Jupyter Notebook
Project for Digital Image Processing
Replace color with another one pixel by pixel.
Model for watermark classification implemented with PyTorch
Local-first, open-source AI watermark removal for Gemini, Doubao, Qwen, Jimeng, Kling, Tencent Yuanbao, Baidu, and more. Smart localization, Gemini reverse-alpha recovery, and LaMa inpainting. Includes a Web UI, CLI, and Python API; supports CUDA, Apple Silicon, and CPU.
Repository related to the Catch the Mark competition of the Multimedia Data Security graduate course of University of Trento, academic year 2022/2023.
Resilient watermarking of digital images
Cross platform CLI tool for removing watermarks from images and videos generated by Google Gemini, Veo, and NotebookLM.
Reveal or Remove any watermark generated by ai
Remove watermark from Sora 2 AI videos for free in one click.
A model for watermark detection using Tensorflow.
Watermark Removal using TensorFlow
Advanced spectral watermarking for 3D models with forensic-level proof of ownership. Invisible, robust, mathematically verifiable.
Worked on creating a all in one solution for various sub problems of face detection which includes Blur detection , Professionalism check , Spoof detection , Watermark detection and Obstruction detection.
Official Python SDK for the snapWONDERS API — steganography (hide & reveal), forensic media analysis, and format conversion in a few lines.
Official Go SDK for the snapWONDERS API — steganography (hide & reveal), forensic media analysis, and format conversion in a few lines.
Image safety, search & validation library for Go — license checking, stock watermark detection, SearXNG image search
CNN for Watermark Removal using Deep Image Prior with Pytorch
Official PHP SDK for the snapWONDERS API — steganography (hide & reveal), forensic media analysis, and format conversion in a few lines.
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