Block or Report
Block or report YinqiCai
Contact GitHub support about this user’s behavior. Learn more about reporting abuse.
Report abuseLists (4)
Sort Name ascending (A-Z)
Stars
Language
Sort by: Recently starred
Retinaface get 80.99% in widerface hard val using mobilenet0.25.
DECA: Detailed Expression Capture and Animation (SIGGRAPH 2021)
[WACV 2024] "CVTHead: One-shot Controllable Head Avatar with Vertex-feature Transformer"
State-of-the-art 2D and 3D Face Analysis Project
[Official] Exploiting Style Latent Flows for Generalizing Deepfake Video Detection (CVPR 2024)
[ICLR 2024] Generalizable and Precise Head Avatar from Image(s)
💬 An extensive collection of exceptional resources dedicated to the captivating world of talking face synthesis! ⭐ If you find this repo useful, please give it a star! 🤩
Classifying Deepfakes Using One-Class Variational Autoencoder
Official Pytorch Implementation of Our CVPR2023 Paper: "Not All Image Regions Matter: Masked Vector Quantization for Autoregressive Image Generation"
Tips for Writing a Research Paper using LaTeX
PyTorch implementation of VQ-VAE-2 from "Generating Diverse High-Fidelity Images with VQ-VAE-2"
This repo implements VQVAE on mnist and as well as colored version of mnist images. It also implements simple LSTM for generating sample numbers using the encoder outputs of trained VQVAE
A pytorch implementation of the vector quantized variational autoencoder (https://arxiv.org/abs/1711.00937)
Vector Quantized VAEs - PyTorch Implementation
Vector (and Scalar) Quantization, in Pytorch
deepfake dataset collected on the web for deepfake detection
[CVPR2022] End-to-End Reconstruction-Classification Learning for Face Forgery Detection
The Pytorch implemention of Deepfake Detection based on Faceforensics++
A comprehensive benchmark of deepfake detection
Lips Don't Lie: A Generalisable and Robust Approach to Face Forgery Detection (CVPR 2021)
Code for Video Deepfake Detection model from "Combining EfficientNet and Vision Transformers for Video Deepfake Detection" presented at ICIAP 2021.
A Python framework for reliably assessing synthetic image detection methods