Face Reconstruction
75 papers with code • 0 benchmarks • 3 datasets
Face reconstruction is the task of recovering the facial geometry of a face from an image.
( Image credit: Microsoft Deep3DFaceReconstruction )
Benchmarks
These leaderboards are used to track progress in Face Reconstruction
FaceWarehouse
FaceScape
ICT-3DHP
Most implemented papers
Text2FaceGAN: Face Generation from Fine Grained Textual Descriptions
midas-research/text2facegan
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We then model the highly multi-modal problem of text to face generation as learning the conditional distribution of faces (conditioned on text) in same latent space.
Face Reconstruction from Voice using Generative Adversarial Networks
cmu-mlsp/reconstructing_faces_from_voices
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NeurIPS 2019
The network learns to generate faces from voices by matching the identities of generated faces to those of the speakers, on a training set.
Lightweight Photometric Stereo for Facial Details Recovery
Juyong/FacePSNet
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CVPR 2020
Recently, 3D face reconstruction from a single image has achieved great success with the help of deep learning and shape prior knowledge, but they often fail to produce accurate geometry details.
AvatarMe: Realistically Renderable 3D Facial Reconstruction "in-the-wild"
Over the last years, with the advent of Generative Adversarial Networks (GANs), many face analysis tasks have accomplished astounding performance, with applications including, but not limited to, face generation and 3D face reconstruction from a single "in-the-wild" image.
Landmark Detection and 3D Face Reconstruction for Caricature using a Nonlinear Parametric Model
To this end, we first build a dataset with various styles of 2D caricatures and their corresponding 3D shapes, and then build a parametric model on vertex based deformation space for 3D caricature face.
Deep Facial Non-Rigid Multi-View Stereo
zqbai-jeremy/dfnrmvs
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CVPR 2020
We facilitate it with a CNN network that learns to regularize the non-rigid 3D face according to the input image and preliminary optimization results.
Self-Supervised Monocular 3D Face Reconstruction by Occlusion-Aware Multi-view Geometry Consistency
jiaxiangshang/MGCNet
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ECCV 2020
Recent learning-based approaches, in which models are trained by single-view images have shown promising results for monocular 3D face reconstruction, but they suffer from the ill-posed face pose and depth ambiguity issue.
Pairwise-GAN: Pose-based View Synthesis through Pair-Wise Training
This inspired our research which explores the performance of two models from pixel transformation in frontal facial synthesis, Pix2Pix and CycleGAN.
Unmasking Communication Partners: A Low-Cost AI Solution for Digitally Removing Head-Mounted Displays in VR-Based Telepresence
Face-to-face conversation in Virtual Reality (VR) is a challenge when participants wear head-mounted displays (HMD).
Weakly-Supervised Multi-Face 3D Reconstruction
kalyo-zjl/WM3DR
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3D face reconstruction plays a very important role in many real-world multimedia applications, including digital entertainment, social media, affection analysis, and person identification.
