Face Model
68 papers with code • 0 benchmarks • 5 datasets
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Robust Model-based Face Reconstruction through Weakly-Supervised Outlier Segmentation
The main challenge is that the model fitting and the outlier segmentation are mutually dependent on each other, and need to be inferred jointly.
Canonical Saliency Maps: Decoding Deep Face Models
As Deep Neural Network models for face processing tasks approach human-like performance, their deployment in critical applications such as law enforcement and access control has seen an upswing, where any failure may have far-reaching consequences.
Voice2Mesh: Cross-Modal 3D Face Model Generation from Voices
This work focuses on the analysis that whether 3D face models can be learned from only the speech inputs of speakers.
Write-a-speaker: Text-based Emotional and Rhythmic Talking-head Generation
To be specific, our framework consists of a speaker-independent stage and a speaker-specific stage.
VariTex: Variational Neural Face Textures
In this paper, we propose VariTex - to the best of our knowledge the first method that learns a variational latent feature space of neural face textures, which allows sampling of novel identities.
K-FACE: A Large-Scale KIST Face Database in Consideration with Unconstrained Environments
In this paper, we introduce a new large-scale face database from KIST, denoted as K-FACE, and describe a novel capturing device specifically designed to obtain the data.
A 3D model-based approach for fitting masks to faces in the wild
Our method proceeds by first fitting a 3D morphable model on the input image, second overlaying the mask surface onto the face model and warping the respective mask texture, and last projecting the 3D mask back to 2D.
MeInGame: Create a Game Character Face from a Single Portrait
To tackle these problems, we propose 1) a low-cost facial texture acquisition method, 2) a shape transfer algorithm that can transform the shape of a 3DMM mesh to games, and 3) a new pipeline for training 3D game face reconstruction networks.
GAN-Control: Explicitly Controllable GANs
We present a framework for training GANs with explicit control over generated images.
Weakly-Supervised Multi-Face 3D Reconstruction
3D face reconstruction plays a very important role in many real-world multimedia applications, including digital entertainment, social media, affection analysis, and person identification.