A Survey on Deepfake Generation and Detection
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Updated
Jul 14, 2024
A Survey on Deepfake Generation and Detection
Deepfakes Software For All
Deepfake Detector is an AI/ML model designed to detect AI-generated or manipulated images.
Code and pre-trained models for our paper "CLIPping the Deception: Adapting Vision-Language Models for Universal Deepfake Detection".
Jupyter Notebook based AI code for DeepFake application that swap face from video or photo
Stable Diffusion, SDXL, LoRA Training, DreamBooth Training, Automatic1111 Web UI, DeepFake, Deep Fakes, TTS, Animation, Text To Video, Tutorials, Guides, Lectures, Courses, ComfyUI, Google Colab, RunPod, NoteBooks, ControlNet, TTS, Voice Cloning, AI, AI News, ML, ML News, News, Tech, Tech News, Kohya LoRA, Kandinsky 2, DeepFloyd IF, Midjourney
🗿 gigachadify any face
A War Beyond Deepfake: Benchmarking Facial Counterfeits and Countermeasures
This projects aims in detection of video deepfakes using deep learning techniques like RestNext and LSTM. We have achived deepfake detection by using transfer learning where the pretrained RestNext CNN is used to obtain a feature vector, further the LSTM layer is trained using the features. For more details follow the documentaion.
Paid Project
DeepFakeNews Dataset for multimodal deepfake detection
Deepfakes Video classification via CNN, LSTM, C3D and triplets [IWBF'20]
A list of tools, papers and code related to Deepfake Detection.
The official repository for our paper, "How You Prompt Matters! Even Task-Oriented Constraints in Instructions Affect LLM-Generated Text Detection"
[AAAI 2024] The official repository for our paper, "OUTFOX: LLM-Generated Essay Detection Through In-Context Learning with Adversarially Generated Examples"
Code for Video Deepfake Detector from "MINTIME: Multi-Identity Size-Invariant Video Deepfake Detection", paper available on IEEE Transactions on Information Forensics and Security.
Create deepfake video by just uploading the original video and specifying the text the character will read
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.
DeepNude's algorithm and general image generation theory and practice research, including pix2pix, CycleGAN, UGATIT, DCGAN, SinGAN, ALAE, mGANprior, StarGAN-v2 and VAE models (TensorFlow2 implementation). DeepNude的算法以及通用生成对抗网络(GAN,Generative Adversarial Network)图像生成的理论与实践研究。
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