Joint 3D Face Reconstruction and Dense Alignment with Position Map Regression Network (ECCV 2018)
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Jul 25, 2022 - Python
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Joint 3D Face Reconstruction and Dense Alignment with Position Map Regression Network (ECCV 2018)
An arbitrary face-swapping framework on images and videos with one single trained model!
🔥🔥🔥🔥 (Earlier YOLOv7 not official one) YOLO with Transformers and Instance Segmentation, with TensorRT acceleration! 🔥🔥🔥
Official code for CVPR2022 paper: Depth-Aware Generative Adversarial Network for Talking Head Video Generation
A deep neural net toolkit for emotion analysis via Facial Expression Recognition (FER)
FaceXlib aims at providing ready-to-use face-related functions based on current STOA open-source methods.
Human-detection-and-Tracking
Learning to Regress 3D Face Shape and Expression from an Image without 3D Supervision
Code for APDrawingGAN: Generating Artistic Portrait Drawings from Face Photos with Hierarchical GANs (CVPR 2019 Oral)
Extended faceswap extension for StableDiffusion web-ui with multiple faceswaps, inpainting, checkpoints, ....
ECCV2020 paper "Whole-Body Human Pose Estimation in the Wild"
A mobilenet SSD based face detector, powered by tensorflow object detection api, trained by WIDERFACE dataset.
Example code for the FLAME 3D head model. The code demonstrates how to sample 3D heads from the model, fit the model to 3D keypoints and 3D scans.
A face recognition solution on mobile device.
Official repository accompanying a CVPR 2022 paper EMOCA: Emotion Driven Monocular Face Capture And Animation. EMOCA takes a single image of a face as input and produces a 3D reconstruction. EMOCA sets the new standard on reconstructing highly emotional images in-the-wild
This is a implementation of the 3D FLAME model in PyTorch
[ECCV 2024 Oral🔥] Arc2Face: A Foundation Model for ID-Consistent Human Faces
😌 Automatically detects and crops faces from batches of pictures.
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