3D Face Reconstruction

3D face reconstruction is the task of reconstructing a face from an image into a 3D form (or mesh).

( Image credit: Deep3DFaceReconstruction )

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Latest papers without code

Everybody's Talkin': Let Me Talk as You Want

15 Jan 2020

The audio-translated expression parameters are then used to synthesize a photo-realistic human subject in each video frame, with the movement of the mouth regions precisely mapped to the source audio.

3D FACE RECONSTRUCTION

Semi-supervised 3D Face Reconstruction with Nonlinear Disentangled Representations

ICLR 2020

Moreover, the identity and expression representations are entangled in these models, which hurdles many facial editing applications.

3D FACE RECONSTRUCTION

Joint Face Super-Resolution and Deblurring Using a Generative Adversarial Network

22 Dec 2019

Recent convolutional neural network (CNN) based method has shown excellent performance by learning mapping relation using pairs of low-resolution (LR) and high-resolution (HR) facial images.

3D FACE RECONSTRUCTION DEBLURRING FACE RECOGNITION IMAGE RECONSTRUCTION IMAGE SUPER-RESOLUTION

Self-supervised Learning of Detailed 3D Face Reconstruction

25 Oct 2019

The displacement map and the coarse model are used to render a final detailed face, which again can be compared with the original input image to serve as a photometric loss for the second stage.

3D FACE RECONSTRUCTION FACE ALIGNMENT SELF-SUPERVISED LEARNING

Face Video Deblurring Using 3D Facial Priors

ICCV 2019

The model consists of two main branches: i) a face video deblurring sub-network based on an encoder-decoder architecture, and ii) a 3D face reconstruction and rendering branch for predicting 3D priors of salient facial structures and identity knowledge.

3D FACE RECONSTRUCTION DEBLURRING

Semi-Supervised Monocular 3D Face Reconstruction With End-to-End Shape-Preserved Domain Transfer

ICCV 2019

To tackle this problem, we propose a semi-supervised monocular reconstruction method, which jointly optimizes a shape-preserved domain-transfer CycleGAN and a shape estimation network.

3D FACE RECONSTRUCTION

3D Face Modeling From Diverse Raw Scan Data

ICCV 2019

Traditional 3D face models learn a latent representation of faces using linear subspaces from limited scans of a single database.

3D FACE RECONSTRUCTION

Face De-Occlusion Using 3D Morphable Model and Generative Adversarial Network

ICCV 2019

In recent decades, 3D morphable model (3DMM) has been commonly used in image-based photorealistic 3D face reconstruction.

3D FACE RECONSTRUCTION

Towards High-Fidelity Nonlinear 3D Face Morphable Model

CVPR 2019

By improving the nonlinear 3D morphable model in both learning objective and network architecture, we present a model which is superior in capturing higher level of details than the linear or its precedent nonlinear counterparts.

3D FACE RECONSTRUCTION

GANFIT: Generative Adversarial Network Fitting for High Fidelity 3D Face Reconstruction

CVPR 2019

In this paper, we take a radically different approach and harness the power of Generative Adversarial Networks (GANs) and DCNNs in order to reconstruct the facial texture and shape from single images.

 SOTA for 3D Face Reconstruction on Florence (Average 3D Error metric )

3D FACE RECONSTRUCTION