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Greatest papers with code
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.
Ranked #1 on
Face Alignment
on AFLW-LFPA
Face Alignment in Full Pose Range: A 3D Total Solution
• cleardusk/3DDFA
• 
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.
Ranked #2 on
Face Alignment
on AFLW
3D POSE ESTIMATION DEPTH IMAGE ESTIMATION FACE ALIGNMENT FACE MODEL FACE RECONSTRUCTION
A Multiresolution 3D Morphable Face Model and Fitting Framework
In this paper, we present the Surrey Face Model, a multi-resolution 3D Morphable Model that we make available to the public for non-commercial purposes.
3D FACE RECONSTRUCTION FACE GENERATION FACE MODEL FACE RECOGNITION FACIAL LANDMARK DETECTION HEAD POSE ESTIMATION
3D Face Reconstruction from A Single Image Assisted by 2D Face Images in the Wild
• XgTu/2DASL-CNN
•
3D face reconstruction from a single 2D image is a challenging problem with broad applications.
Ranked #3 on
Face Alignment
on AFLW2000-3D
3D FACE RECONSTRUCTION FACE ALIGNMENT FACE MODEL SELF-SUPERVISED LEARNING
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.
Face Synthesis for Eyeglass-Robust Face Recognition
A feasible method is to collect large-scale face images with eyeglasses for training deep learning methods.
FACE GENERATION FACE MODEL FACE RECOGNITION ROBUST FACE RECOGNITION
Learning an Animatable Detailed 3D Face Model from In-The-Wild Images
• YadiraF/DECA
•
Our DECA (Detailed Expression Capture and Animation) model is trained to robustly produce a UV displacement map from a low-dimensional latent representation that consists of person-specific detail parameters and generic expression parameters, while a regressor is trained to predict detail, shape, albedo, expression, pose and illumination parameters from a single image.
Ranked #1 on
3D Face Reconstruction
on NoW Benchmark
Scene Representation Networks: Continuous 3D-Structure-Aware Neural Scene Representations
NeurIPS 2019
• vsitzmann/scene-representation-networks
•
Unsupervised learning with generative models has the potential of discovering rich representations of 3D scenes.
Learning a model of facial shape and expression from 4D scans
SIGGRAPH Asia 2017
• Rubikplayer/flame-fitting
• 
FLAME is low-dimensional but more expressive than the FaceWarehouse model and the Basel Face Model.
3D FACE ANIMATION 3D FACE MODELING 3D FACE RECONSTRUCTION FACE ALIGNMENT FACE GENERATION FACE MODEL
GIF: Generative Interpretable Faces
Specifically, we condition StyleGAN2 on FLAME, a generative 3D face model.