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Found 11 papers, 5 papers with code
Few-Shot Adversarial Learning of Realistic Neural Talking Head Models
In order to create a personalized talking head model, these works require training on a large dataset of images of a single person.
Neural Haircut: Prior-Guided Strand-Based Hair Reconstruction
The second stage then estimates a strand-level hair reconstruction by reconciling in a single optimization process the coarse volumetric constraints with hair strand and hairstyle priors learned from the synthetic data.
Realistic One-shot Mesh-based Head Avatars
We present a system for realistic one-shot mesh-based human head avatars creation, ROME for short.
Fast Bi-layer Neural Synthesis of One-Shot Realistic Head Avatars
The texture image is generated offline, warped and added to the coarse image to ensure a high effective resolution of synthesized head views.
Sphere-Guided Training of Neural Implicit Surfaces
In recent years, neural distance functions trained via volumetric ray marching have been widely adopted for multi-view 3D reconstruction.
Image Manipulation with Perceptual Discriminators
The new architecture, that we call a perceptual discriminator, embeds the convolutional parts of a pre-trained deep classification network inside the discriminator network.
Generative Models for Fast Calorimeter Simulation.LHCb case
Simulation is one of the key components in high energy physics.
Textured Neural Avatars
In particular, our system estimates an explicit two-dimensional texture map of the model surface.
MegaPortraits: One-shot Megapixel Neural Head Avatars
In this work, we advance the neural head avatar technology to the megapixel resolution while focusing on the particularly challenging task of cross-driving synthesis, i. e., when the appearance of the driving image is substantially different from the animated source image.
VOODOO 3D: Volumetric Portrait Disentanglement for One-Shot 3D Head Reenactment
We present a 3D-aware one-shot head reenactment method based on a fully volumetric neural disentanglement framework for source appearance and driver expressions.
HAAR: Text-Conditioned Generative Model of 3D Strand-based Human Hairstyles
We present HAAR, a new strand-based generative model for 3D human hairstyles.
