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.
Cross platform CLI tool for removing watermarks from images and videos generated by Google Gemini, Veo, and NotebookLM.
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
Test what AI watermark and provenance evidence exists, whether it verifies, and what survives publishing.
Remove watermark from Sora 2 AI videos for free in one click.
Reveal or Remove any watermark generated by ai
Forensic detection, benchmarking, and explainable analysis of LLM text watermarks, provenance signals, and hidden-payload channels — with a live web UI
A model for watermark detection using Tensorflow.
Audit invisible AI text watermarks and test Claude watermark claims with reproducible, local-first analysis.
Advanced spectral watermarking for 3D models with forensic-level proof of ownership. Invisible, robust, mathematically verifiable.
Watermark Removal using TensorFlow
Official PHP SDK for the snapWONDERS API — steganography (hide & reveal), forensic media analysis, and format conversion in a few lines.
Finds the characters in text that you cannot see: zero width spaces, bidi overrides, tag payloads and homoglyphs. CLI, HTTP API and browser build
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.
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