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YadiraF avatar

YadiraF/PRNet

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

PRNet

PRNet est une bibliothèque Python pour la reconstruction faciale 3D. Elle utilise un modèle de régression par apprentissage profond pour prédire la géométrie faciale 3D et les couleurs des sommets à partir d'une seule image 2D afin de générer un maillage texturé.

Le projet fournit des outils pour l'échange de visages numériques, permettant de remplacer un visage cible par une nouvelle image et de mélanger les textures pour correspondre à la pose originale. Il inclut également un framework pour l'échange et le mélange de textures faciales afin de s'adapter à des poses 3D spécifiques.

Des capacités supplémentaires couvrent l'analyse faciale, y compris la détection et l'alignement des points de repère faciaux ainsi que l'estimation de la pose de la tête et des matrices d'orientation de la caméra.

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.

Historique des stars

Graphique de l'historique des stars pour yadiraf/prnetGraphique de l'historique des stars pour yadiraf/prnet

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Questions fréquentes

Que fait yadiraf/prnet ?

PRNet est une bibliothèque Python pour la reconstruction faciale 3D. Elle utilise un modèle de régression par apprentissage profond pour prédire la géométrie faciale 3D et les couleurs des sommets à partir d'une seule image 2D afin de générer un maillage texturé.

Quelles sont les fonctionnalités principales de yadiraf/prnet ?

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

Quelles sont les alternatives open-source à yadiraf/prnet ?

Les alternatives open-source à yadiraf/prnet incluent : 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…

Alternatives open source à PRNet

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  • cleardusk/3ddfaAvatar de cleardusk

    cleardusk/3DDFA

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    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 represent

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  • 1adrianb/face-alignmentAvatar de 1adrianb

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    This is a PyTorch-based computer vision library for detecting 2D and 3D facial landmark coordinates. It functions as a facial landmark detector and reconstruction tool, utilizing deep learning to identify precise geometric points on human faces from image datasets. The library allows for the selection of specific detection backends to balance accuracy and processing speed. It supports the integration of precomputed bounding box files, which enables the system to bypass the initial detection phase and proceed directly to landmark extraction. The toolkit includes capabilities for batch image p

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  • yinguobing/head-pose-estimationAvatar de yinguobing

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    This project is a computer vision tool designed to calculate the pitch, yaw, and roll of a human head in real time. It functions as a facial landmark detection library that identifies sixty-eight specific points on a face to enable precise orientation tracking from video streams. The system utilizes a high-performance inference engine to execute pre-trained machine learning models, ensuring that geometric analysis is performed efficiently on input frames. By mapping detected facial coordinates to a three-dimensional model, the software determines the camera-relative rotation of the head throu

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  • 1adrianb/2d-and-3d-face-alignmentAvatar de 1adrianb

    1adrianb/2D-and-3D-face-alignment

    974Voir sur GitHub↗

    This project is a computer vision library designed for facial landmark detection and alignment. It provides a framework for identifying and mapping specific points on a human face in both two-dimensional and three-dimensional space, enabling the normalization of facial geometry and orientation across diverse images. The system utilizes a deep learning approach to extract precise facial coordinates, supporting tasks such as expression analysis and geometric modeling. By employing a stacked hourglass architecture, the model performs multi-stage feature refinement to capture spatial relationship

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Voir les 30 alternatives à PRNet→