Head Pose Estimation based on 3dmm.
☆37Nov 16, 2021Updated 4 years ago
Alternatives and similar repositories for HeadPoseEstimate
Users that are interested in HeadPoseEstimate are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- [ECCV 2020] Reimplementation of 3DDFAv2, including face mesh, head pose, landmarks, and more.☆314May 11, 2026Updated 2 weeks ago
- face profile augmentation in 3ddfa. profile face synthesis from frontal face☆57Feb 8, 2021Updated 5 years ago
- A lite-version hopenet for head pose estimation with PyTorch☆193Jun 23, 2020Updated 5 years ago
- SBU Deep Learning Course Materials and Codes☆15Nov 16, 2022Updated 3 years ago
- Code for BMVC2021 "MOS: A Low Latency and Lightweight Framework for Face Detection, Landmark Localization, and Head Pose Estimation"☆146Aug 7, 2023Updated 2 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- 移动端快速人脸检测模型是基于RetinaFace的优化去掉stride8以及stride32和stride16的landmark 在CPU位Intel(R) Pentium(R) CPU G2020 @ 2.90GHz(2900 MHz)的设备中人脸检测可达到40ms/帧☆15Oct 14, 2019Updated 6 years ago
- Code for "Physical Interaction: Reconstructing Hand-object Interactions with Physics, SIGGRAPH Asia 2022 Conference Track""☆26Apr 2, 2025Updated last year
- Pytorch implementation of HeadNerf☆19Apr 6, 2022Updated 4 years ago
- An implementation of the classical 3DMM fitting algorithm☆118Dec 24, 2020Updated 5 years ago
- ☆19Sep 18, 2025Updated 8 months ago
- ⚠️ This repository is archived. Please use https://github.com/nbhr/pycalib . An Implementation of Takahashi, Nobuhara and Matsuyama "A N…☆33Dec 6, 2025Updated 5 months ago
- The official PyTorch implementation of img2pose: Face Alignment and Detection via 6DoF, Face Pose Estimation - CVPR 2021☆611Aug 29, 2022Updated 3 years ago
- Novel-view Synthesis and Pose Estimation for Hand-Object Interaction from Sparse Views (ICCV2023)