Face Model
68 papers with code • 0 benchmarks • 5 datasets
Benchmarks
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Libraries
Use these libraries to find Face Model models and implementations
FaceWarehouse
FaceScape
HUMBI
MeGlass
Most implemented papers
Learning a model of facial shape and expression from 4D scans
Rubikplayer/flame-fitting
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SIGGRAPH Asia 2017
FLAME is low-dimensional but more expressive than the FaceWarehouse model and the Basel Face Model.
Face Detection with End-to-End Integration of a ConvNet and a 3D Model
tfwu/FaceDetection-ConvNet-3D
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The proposed method addresses two issues in adapting state- of-the-art generic object detection ConvNets (e. g., faster R-CNN) for face detection: (i) One is to eliminate the heuristic design of prede- fined anchor boxes in the region proposals network (RPN) by exploit- ing a 3D mean face model.
Joint 3D Face Reconstruction and Dense Alignment with Position Map Regression Network
We propose a straightforward method that simultaneously reconstructs the 3D facial structure and provides dense alignment.
SER-FIQ: Unsupervised Estimation of Face Image Quality Based on Stochastic Embedding Robustness
Face image quality is an important factor to enable high performance face recognition systems.
Morphable Face Models - An Open Framework
Non-rigid registration of faces is significant for many applications in computer vision, such as the construction of 3D Morphable face models (3DMMs).
Training Deep Face Recognition Systems with Synthetic Data
In our experiments with an off-the-shelf face recognition software we observe the following phenomena: 1) The amount of real training data needed to train competitive deep face recognition systems can be reduced significantly.
Face Alignment in Full Pose Range: A 3D Total Solution
cleardusk/3DDFA
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In this paper, we propose to tackle these three challenges in an new alignment framework termed 3D Dense Face Alignment (3DDFA), in which a dense 3D Morphable Model (3DMM) is fitted to the image via Cascaded Convolutional Neural Networks.
Generating 3D faces using Convolutional Mesh Autoencoders
To address this, we introduce a versatile model that learns a non-linear representation of a face using spectral convolutions on a mesh surface.
3D Face Reconstruction from A Single Image Assisted by 2D Face Images in the Wild
XgTu/2DASL-CNN
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3D face reconstruction from a single 2D image is a challenging problem with broad applications.
CONFIG: Controllable Neural Face Image Generation
microsoft/ConfigNet
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ECCV 2020
Our ability to sample realistic natural images, particularly faces, has advanced by leaps and bounds in recent years, yet our ability to exert fine-tuned control over the generative process has lagged behind.
