Humans effortlessly infer the 3D shape of objects. What computations und...
Denoising diffusion models are a powerful type of generative models used...
Capturing and editing full head performances enables the creation of vir...
Reconstruction of 3D neural fields from posed images has emerged as a
pr...
Synthesizing visual content that meets users' needs often requires flexi...
We introduce a method for novel view synthesis given only a single
wide-...
Building 3D maps of the environment is central to robot navigation, plan...
3D generative models of objects enable photorealistic image synthesis wi...
Given a set of images of a scene, the re-rendering of this scene from no...
Human perception reliably identifies movable and immovable parts of 3D
s...
2D images are observations of the 3D physical world depicted with the
ge...
Implicit neural representations of 3D shapes form strong priors that are...
Learning 3D generative models from a dataset of monocular images enables...
Generative adversarial models (GANs) continue to produce advances in ter...
We introduce a method for egocentric videoconferencing that enables
hand...
Differentiable rendering has received increasing interest for image-base...
Photorealistic editing of portraits is a challenging task as humans are ...
We present Non-Rigid Neural Radiance Fields (NR-NeRF), a reconstruction ...
We present the first method for real-time full body capture that estimat...
We present the first deep implicit 3D morphable model (i3DMM) of full he...
Most 3D face reconstruction methods rely on 3D morphable models, which
d...
Editing of portrait images is a very popular and important research topi...
The reflectance field of a face describes the reflectance properties
res...
Implicit surface representations, such as signed-distance functions, com...
Efficient rendering of photo-realistic virtual worlds is a long standing...
StyleGAN generates photorealistic portrait images of faces with eyes, te...
We present Neural Voice Puppetry, a novel approach for audio-driven faci...
In this paper, we provide a detailed survey of 3D Morphable Face Models ...
Editing talking-head video to change the speech content or to remove fil...
Face performance capture and reenactment techniques use multiple cameras...
Mesh autoencoders are commonly used for dimensionality reduction, sampli...
Monocular image-based 3D reconstruction of faces is a long-standing prob...
We present a novel approach that enables photo-realistic re-animation of...
As more and more personal photos are shared and tagged in social media,
...
The reconstruction of dense 3D models of face geometry and appearance fr...
We introduce InverseFaceNet, a deep convolutional inverse rendering fram...
In this work we propose a novel model-based deep convolutional autoencod...