71 citations · 119 across the 4 of their papers we have counts for
7 papers · 1 filter
LiP-Flow: Learning Inference-time Priors for Codec Avatars via Normalizing Flows in Latent Space
Emre Aksan, Shugao Ma, Akin Caliskan +5
Neural face avatars that are trained from multi-view data captured in camera domes can produce photo-realistic 3D reconstructions. However, at inference time, they must be driven b…
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…
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…
Supervision by Registration and Triangulation for Landmark Detection
Xuanyi Dong, Yi Yang, Shih-En Wei +3
We present Supervision by Registration and Triangulation (SRT), an unsupervised approach that utilizes unlabeled multi-view video to improve the accuracy and precision of landmark…
Image Disentanglement and Uncooperative Re-Entanglement for High-Fidelity Image-to-Image Translation
Adam W. Harley, Shih-En Wei, Jason Saragih +1
Cross-domain image-to-image translation should satisfy two requirements: (1) preserve the information that is common to both domains, and (2) generate convincing images covering va…
OpenPose: Realtime Multi-Person 2D Pose Estimation using Part Affinity Fields
Zhe Cao, Gines Hidalgo, Tomas Simon +2
Realtime multi-person 2D pose estimation is a key component in enabling machines to have an understanding of people in images and videos. In this work, we present a realtime approa…