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YadiraF avatar

YadiraF/PRNet

0
View on GitHub↗
5,013 estrellas·938 forks·Python·MIT·11 vistasopenaccess.thecvf.com/content_ECCV_2018/papers/Yao_Feng_Joint_3D_Face_ECCV_2018_paper.pdf↗

PRNet

PRNet es una librería de Python para la reconstrucción facial 3D. Utiliza un modelo de regresión de aprendizaje profundo para predecir la geometría facial 3D y los colores de los vértices a partir de una única imagen 2D de entrada para generar una malla texturizada.

El proyecto proporciona herramientas para el intercambio digital de rostros (face swapping), permitiendo reemplazar un rostro objetivo con una nueva imagen y mezclar texturas para que coincidan con la pose original. También incluye un framework para el intercambio y mezcla de texturas faciales para ajustarse a poses 3D específicas.

Las capacidades adicionales cubren el análisis facial, incluyendo la detección y alineación de puntos de referencia faciales y la estimación de la pose de la cabeza y matrices de orientación de la cámara.

Features

  • Single-Image 3D Reconstructions - Creates a complete 3D facial model from a single photograph using a regression-based deep learning model.
  • Head Pose Estimation - Implements techniques for calculating the 3D orientation and position of a head relative to a camera.
  • Face Swapping - Replaces a target face with a new image while blending textures to match the original pose.
  • Face Swapping Frameworks - Provides a deep learning framework for identity replacement and texture blending in visual media.
  • Facial Landmark Analysis - Determines the position and visibility of key facial landmarks for feature alignment.
  • Facial Landmark Detection - Identifies and tracks key facial landmarks from a single input image to facilitate reconstruction.
  • Automated Blending - Uses deep learning to resolve color and lighting discrepancies when blending textures onto 3D face meshes.
  • Computer Vision Research - Joint 3D face reconstruction and dense alignment via regression.
  • Face Alignment - Joint 3D reconstruction and dense alignment via position maps.
  • Face Alignment And Reconstruction - Joint 3D face reconstruction and dense alignment via regression.
  • Faces: - Listed in the “Faces:” section of the Curated List Of Awesome 3D Morphable Model Software And Data awesome list.
  • Keypoint detection - Listed in the “Keypoint detection” section of the Ailia Models awesome list.

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Ver las 30 alternativas a PRNet→

Preguntas frecuentes

¿Qué hace yadiraf/prnet?

PRNet es una librería de Python para la reconstrucción facial 3D. Utiliza un modelo de regresión de aprendizaje profundo para predecir la geometría facial 3D y los colores de los vértices a partir de una única imagen 2D de entrada para generar una malla texturizada.

¿Cuáles son las características principales de yadiraf/prnet?

Las características principales de yadiraf/prnet son: Single-Image 3D Reconstructions, Head Pose Estimation, Face Swapping, Face Swapping Frameworks, Facial Landmark Analysis, Facial Landmark Detection, Automated Blending, Computer Vision Research.

¿Qué alternativas de código abierto existen para yadiraf/prnet?

Las alternativas de código abierto para yadiraf/prnet incluyen: cleardusk/3ddfa — 3DDFA is a 3D face reconstruction tool that generates three-dimensional facial meshes and 68 structural landmarks from… 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… 1adrianb/2d-and-3d-face-alignment — This project is a computer vision library designed for facial landmark detection and alignment. It provides a… 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…