activity
20172026
most citedXNect: Real-time Multi-Person 3D Motion Capture with a Single RGB Camera

265 citations · 785 across the 88 of their papers we have counts for

collaborators
Showing 2021Show all

9 papers · 1 filter

cs.CV2021

A Deeper Look into DeepCap

Marc Habermann, Weipeng Xu, Michael Zollhoefer +2

Human performance capture is a highly important computer vision problem with many applications in movie production and virtual/augmented reality. Many previous performance capture…

cs.CV2021

Neural-GIF: Neural Generalized Implicit Functions for Animating People in Clothing

Garvita Tiwari, Nikolaos Sarafianos, Tony Tung +1

We present Neural Generalized Implicit Functions(Neural-GIF), to animate people in clothing as a function of the body pose. Given a sequence of scans of a subject in various poses,…

cs.CV2021

NRST: Non-rigid Surface Tracking from Monocular Video

Marc Habermann, Weipeng Xu, Helge Rhodin +3

We propose an efficient method for non-rigid surface tracking from monocular RGB videos. Given a video and a template mesh, our algorithm sequentially registers the template non-ri…

cs.CV2021★ 118 cited

Real-time Deep Dynamic Characters

Marc Habermann, Lingjie Liu, Weipeng Xu +3

We propose a deep videorealistic 3D human character model displaying highly realistic shape, motion, and dynamic appearance learned in a new weakly supervised way from multi-view i…

cs.CV2021

Stereo Radiance Fields (SRF): Learning View Synthesis for Sparse Views of Novel Scenes

Julian Chibane, Aayush Bansal, Verica Lazova +1

Recent neural view synthesis methods have achieved impressive quality and realism, surpassing classical pipelines which rely on multi-view reconstruction. State-of-the-Art methods,…

cs.CV2021

SMPLicit: Topology-aware Generative Model for Clothed People

Enric Corona, Albert Pumarola, Guillem Alenyà +2

In this paper we introduce SMPLicit, a novel generative model to jointly represent body pose, shape and clothing geometry. In contrast to existing learning-based approaches that re…

cs.CV2021★ 1 cited

Human POSEitioning System (HPS): 3D Human Pose Estimation and Self-localization in Large Scenes from Body-Mounted Sensors

Vladimir Guzov, Aymen Mir, Torsten Sattler +1

We introduce (HPS) Human POSEitioning System, a method to recover the full 3D pose of a human registered with a 3D scan of the surrounding environment using wearable sensors. Using…

cs.CV2021

Learning Speech-driven 3D Conversational Gestures from Video

Ikhsanul Habibie, Weipeng Xu, Dushyant Mehta +5

We propose the first approach to automatically and jointly synthesize both the synchronous 3D conversational body and hand gestures, as well as 3D face and head animations, of a vi…

cs.CV2021

Adjoint Rigid Transform Network: Task-conditioned Alignment of 3D Shapes

Keyang Zhou, Bharat Lal Bhatnagar, Bernt Schiele +1

Most learning methods for 3D data (point clouds, meshes) suffer significant performance drops when the data is not carefully aligned to a canonical orientation. Aligning real world…