activity
20182021
most citedDriving-Signal Aware Full-Body Avatars

71 citations · 122 across the 8 of their papers we have counts for

collaborators
Showing cs.CVShow all

12 papers · 1 filter

cs.CV202171 cited

Driving-Signal Aware Full-Body Avatars

Timur Bagautdinov, Chenglei Wu, Tomas Simon +6

We present a learning-based method for building driving-signal aware full-body avatars. Our model is a conditional variational autoencoder that can be animated with incomplete driv…

cs.CV2021

Pixel Codec Avatars

Shugao Ma, Tomas Simon, Jason Saragih +4

Telecommunication with photorealistic avatars in virtual or augmented reality is a promising path for achieving authentic face-to-face communication in 3D over remote physical dist…

cs.CV20212 cited

SimPoE: Simulated Character Control for 3D Human Pose Estimation

Ye Yuan, Shih-En Wei, Tomas Simon +2

Accurate estimation of 3D human motion from monocular video requires modeling both kinematics (body motion without physical forces) and dynamics (motion with physical forces). To d…

cs.CV202122 cited

PVA: Pixel-aligned Volumetric Avatars

Amit Raj, Michael Zollhoefer, Tomas Simon +4

Acquisition and rendering of photo-realistic human heads is a highly challenging research problem of particular importance for virtual telepresence. Currently, the highest quality…

cs.CV202011 cited

Learning Compositional Radiance Fields of Dynamic Human Heads

Ziyan Wang, Timur Bagautdinov, Stephen Lombardi +4

Photorealistic rendering of dynamic humans is an important ability for telepresence systems, virtual shopping, synthetic data generation, and more. Recently, neural rendering metho…

cs.CV2020

State of the Art on Neural Rendering

Ayush Tewari, Ohad Fried, Justus Thies +16

Efficient rendering of photo-realistic virtual worlds is a long standing effort of computer graphics. Modern graphics techniques have succeeded in synthesizing photo-realistic imag…