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Found 4 papers, 0 papers with code
SplatFace: Gaussian Splat Face Reconstruction Leveraging an Optimizable Surface
Our method is designed to simultaneously deliver both high-quality novel view rendering and accurate 3D mesh reconstructions.
Disjoint Pose and Shape for 3D Face Reconstruction
Existing methods for 3D face reconstruction from a few casually captured images employ deep learning based models along with a 3D Morphable Model(3DMM) as face geometry prior.
How Much Does Input Data Type Impact Final Face Model Accuracy?
This idealized synthetic analysis is then compared to real results from several methods for constructing 3D faces from 2D photographs.
DuelGAN: A Duel Between Two Discriminators Stabilizes the GAN Training
In this paper, we introduce DuelGAN, a generative adversarial network (GAN) solution to improve the stability of the generated samples and to mitigate mode collapse.
Ranked #3 on
Image Generation
on Fashion-MNIST
