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cleardusk/3DDFA

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3,678 星标·643 分支·Python·MIT·12 次浏览

3DDFA

3DDFA is a 3D face reconstruction tool that generates three-dimensional facial meshes and 68 structural landmarks from a single two-dimensional input image.

The project provides utilities for estimating facial pose and depth maps to determine the orientation and position of a face. It includes a geometry exporter to save reconstructed facial shapes into standard file formats for use in external 3D modeling software.

The software further covers automated face cropping using landmark-based and landmark-free identification methods, as well as the extraction of specialized mathematical representations for detailed facial analysis.

Features

  • Single-Image 3D Reconstructions - Generates a complete three-dimensional facial mesh and structural landmarks from a single two-dimensional input image.
  • Head Pose Estimation - Calculates the 3D orientation and position of the head to ensure consistent facial reconstruction.
  • Face Pose Estimators - Determines the 3D orientation of a face from 2D landmarks to assist with alignment.
  • 3D Face Reconstruction - Generates 3D facial meshes and 68 landmarks from a single 2D image across various poses.
  • Face Detection - Automatically identifies and extracts face regions from images using landmark-based and landmark-free methods.
  • Facial Landmark Detection - Detects facial regions using coordinate points to isolate the face from background imagery.
  • 3D Model Exporters - Exports reconstructed face shapes into standard 3D file formats for external modeling software.
  • Geometry Data Exporters - Provides utilities for saving reconstructed facial geometry into standardized 3D file formats.
  • Mesh Exporters - Saves reconstructed 3D facial geometry into standard file formats for use in external modeling software.
  • Computer Vision Models - 3D face alignment solution.
  • Face Alignment And Reconstruction - 3D face alignment solution for full pose ranges.
  • Faces: - Listed in the “Faces:” section of the Curated List Of Awesome 3D Morphable Model Software And Data awesome list.

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常见问题解答

cleardusk/3ddfa 是做什么的？

3DDFA is a 3D face reconstruction tool that generates three-dimensional facial meshes and 68 structural landmarks from a single two-dimensional input image.

cleardusk/3ddfa 的主要功能有哪些？

cleardusk/3ddfa 的主要功能包括：Single-Image 3D Reconstructions, Head Pose Estimation, Face Pose Estimators, 3D Face Reconstruction, Face Detection, Facial Landmark Detection, 3D Model Exporters, Geometry Data Exporters。

cleardusk/3ddfa 有哪些开源替代品？

cleardusk/3ddfa 的开源替代品包括： yadiraf/prnet — PRNet is a Python library for 3D facial reconstruction. It uses a deep learning regression model to predict 3D facial… aaronjackson/vrn — vrn is a 3D face reconstruction tool that generates three-dimensional volumetric representations of human faces from… xlite-dev/lite.ai.toolkit — lite.ai.toolkit is a C++ computer vision toolkit designed for edge AI deployment. It enables the execution of… ageitgey/face_recognition — This is a Python facial recognition library designed to detect, encode, and identify human faces in images and video.… 1adrianb/face-alignment — This is a PyTorch-based computer vision library for detecting 2D and 3D facial landmark coordinates. It functions as a… yinguobing/head-pose-estimation — This project is a computer vision tool designed to calculate the pitch, yaw, and roll of a human head in real time. It…

3DDFA 的开源替代方案

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    This is a Python facial recognition library designed to detect, encode, and identify human faces in images and video. It functions as a biometric identification tool that converts facial features into numerical encodings to compare and match identities. The library provides a computer vision command line interface for batch processing face detection and recognition tasks across image directories. It also supports a GPU accelerated vision API that utilizes CUDA and NVIDIA hardware to increase the speed of facial analysis and identification. Its capabilities cover human face detection and faci

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