activity
20212024
most citedControl-NeRF: Editable Feature Volumes for Scene Rendering and Manipulation

3 citations · 7 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2024★ 2 cited

FORCE: Physics-aware Human-object Interaction

Xiaohan Zhang, Bharat Lal Bhatnagar, Sebastian Starke +5

Interactions between human and objects are influenced not only by the object's pose and shape, but also by physical attributes such as object mass and surface friction. They introd…

cs.CV2022

Interaction Replica: Tracking Human-Object Interaction and Scene Changes From Human Motion

Vladimir Guzov, Julian Chibane, Riccardo Marin +4

Our world is not static and humans naturally cause changes in their environments through interactions, e.g., opening doors or moving furniture. Modeling changes caused by humans is…

cs.CV2022★ 1 cited

COUCH: Towards Controllable Human-Chair Interactions

Xiaohan Zhang, Bharat Lal Bhatnagar, Vladimir Guzov +2

Humans interact with an object in many different ways by making contact at different locations, creating a highly complex motion space that can be difficult to learn, particularly…

cs.CV2022★ 3 cited

Control-NeRF: Editable Feature Volumes for Scene Rendering and Manipulation

Verica Lazova, Vladimir Guzov, Kyle Olszewski +2

We present a novel method for performing flexible, 3D-aware image content manipulation while enabling high-quality novel view synthesis. While NeRF-based approaches are effective f…

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…