Generate synthetic image using DCGAN on fashion mnist data
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Updated
Aug 27, 2021 - Python
Generate synthetic image using DCGAN on fashion mnist data
Towards deepfake detection that actually works
A poor attempt to implement a DeepFake/FaceSwap using Pytorch and OpenCV
one-click face swap
We are here to have fun, maje funny, high quality products, and take ourselves a little less serously.
Fastest way to generate and detect deepfakes. Contribute to help keep humanity safe
Level 5 MSci dissertation project "Implementation and Evaluation of a Tool for DeepFake Obfuscation".
对发表于2019 BTAS的DeepFake方向论文Multi-task Learning For Detecting and Segmenting Manipulated Facial Images and Videos进行复现并分析作者提出的模型的优缺点。
This repo is an usage example of OpenFace model. We focus on fake detection in videos. The videos are processed and predicted as real or fake based on the person captured.
Batch/bulk extract each frame from video files.
BMSTU Bachelor's Graduate Qualification Work
Replication code for the paper 'Towards DeepFake video forensics based on facial textural disparities in multi-color channels'
you speak and our program speak with anyone face you want with lips movements professionally
This is a deepfake tool that implements the swapping and restoration of faces in images and videos by InsightFace and GFPGAN solutions.
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