[CVPR 2023, top-10%] Authors official PyTorch implementation of the "Attribute-preserving Face Dataset Anonymization via Latent Code Optimization".

Official implementation of the paper "Now You See Me, Now You Don’t: A Unified Framework for Expression-Consistent Video Anonymization."

Official Implementation of the Paper "Controllable Localized Face Anonymization via Diffusion Inpainting"

[ICDL 25] The official repository of paper 'BLANKET: Anonymizing Faces in Infant Video Recordings'

Web Application that can Blur and anonymize any faces in the image using face detection model and medianblur techniques.

Privacy-preserving face anonymization tool using MediaPipe Face Landmarker. Selectively censors eyes and mouth with 9 different modes while preserving facial context.

Data science project based on on face anonymization (Grade 10/10)

Face Anonymizer is a real-time webcam application that uses MediaPipe and OpenCV to detect and blur faces in video streams.

얼굴 익명화 시스템 — 등록한 얼굴만 비블러, 나머지는 자동 블러 처리 (FaceNet + MTCNN 기반)

This project is a real-time face anonymization system using OpenCV and MediaPipe. It detects faces from a webcam feed and applies different privacy-preserving effects such as blur, pixelation, or masking.

Real-time face detection & anonymization pipeline using YOLOv8 and OpenCV — 6 privacy methods, Gradio web UI, live webcam streaming

Automatic face anonymization system using deep learning (YuNet/ONNX, OpenCV, ASP.NET Core API) with batch processing and evaluation reports.

Real-time CCTV-style vlog recorder with object detection and face anonymization for NVIDIA Jetson Orin Nano Super

Anonymize faces with a cli tool

🎭 Real-time face detection & anonymization using MediaPipe and OpenCV — supports blur, pixelation, and black-out methods.

Just a model trying to increase better face detection and face masking for face anonymization, which can be useful for Secure-AI or Privacy-AI.