Prototipo de escritorio para detectar imágenes falsas "DeepFake" utilizando MobileNetV2
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Updated
Jul 15, 2023 - Python
Prototipo de escritorio para detectar imágenes falsas "DeepFake" utilizando MobileNetV2
Helpful resources for creating deepfakes.
Towards deepfake detection that actually works
As the crime rates have increased due to fake images and videos, it has become the need of the hour today to build technologies that could identify these threats and protect us from any potential scams. This project aims to implement a DCGAN (Deep Convolutional Generative Adversarial Network) to generate "fake" images based on an existing datase…
Prototipo web con TFJS para detectar imágenes falsas "DeepFake" utilizando redes neuronales convolucionales.
A deepfake detection / classificatrion using CNNs models with PyTorch lib based on the ICPR2020 project.
A deepfake detection / classificatrion using CNNs models with Keras and Tensorflow lib.
Deep fake detection of videos utilizing scatternet layers.
A Gradio-based web application that detects whether an image is a deepfake. The application uses a pre-trained InceptionResnetV1 model from the facenet_pytorch library for face recognition, and pytorch-grad-cam for visual explainability.
A War Beyond Deepfake: Benchmarking Facial Counterfeits and Countermeasures
Deepfake Detector is an AI/ML model designed to detect AI-generated or manipulated images.
Classification of real-fake faces using neural networks.
Audio deepfake detection sytem on CNN
Deepfakes Video classification via CNN, LSTM, C3D and triplets [IWBF'20]
Determine whether a given video sequence has been manipulated or synthetically generated
Code for Video Deepfake Detection model from "Combining EfficientNet and Vision Transformers for Video Deepfake Detection" presented at ICIAP 2021.
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