Face Model

62 papers with code • 0 benchmarks • 5 datasets

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Use these libraries to find Face Model models and implementations

Most implemented papers

Learning a model of facial shape and expression from 4D scans

Rubikplayer/flame-fitting 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 2 Jun 2016

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

YadiraF/PRNet ECCV 2018

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

pterhoer/FaceImageQuality 20 Mar 2020

Face image quality is an important factor to enable high performance face recognition systems.

Morphable Face Models - An Open Framework

unibas-gravis/basel-face-pipeline 25 Sep 2017

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

unibas-gravis/parametric-face-image-generator 16 Feb 2018

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 2 Apr 2018

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

anuragranj/coma ECCV 2018

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 22 Mar 2019

3D face reconstruction from a single 2D image is a challenging problem with broad applications.

CONFIG: Controllable Neural Face Image Generation

microsoft/ConfigNet 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.