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20162023
most citedNeural Volumes: Learning Dynamic Renderable Volumes from Images

680 citations · 2.5k across the 34 of their papers we have counts for

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Showing 2021Show all

6 papers · 1 filter

cs.CV2021★ 71 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.CV2021

MeshTalk: 3D Face Animation from Speech using Cross-Modality Disentanglement

Alexander Richard, Michael Zollhoefer, Yandong Wen +2

This paper presents a generic method for generating full facial 3D animation from speech. Existing approaches to audio-driven facial animation exhibit uncanny or static upper face…

cs.CV2021★ 1 cited

High-fidelity Face Tracking for AR/VR via Deep Lighting Adaptation

Lele Chen, Chen Cao, Fernando De la Torre +3

3D video avatars can empower virtual communications by providing compression, privacy, entertainment, and a sense of presence in AR/VR. Best 3D photo-realistic AR/VR avatars driven…

cs.GR2021★ 2 cited

Mixture of Volumetric Primitives for Efficient Neural Rendering

Stephen Lombardi, Tomas Simon, Gabriel Schwartz +3

Real-time rendering and animation of humans is a core function in games, movies, and telepresence applications. Existing methods have a number of drawbacks we aim to address with o…

cs.CV2021★ 46 cited

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…