Search Results for author:
Found 7 papers, 2 papers with code
InterTrack: Tracking Human Object Interaction without Object Templates
In this paper, we present a method to track human object interaction without any object shape templates.
Human 3Diffusion: Realistic Avatar Creation via Explicit 3D Consistent Diffusion Models
Experiments show that our proposed framework outperforms state-of-the-art methods and enables the creation of realistic avatars from a single RGB image, achieving high-fidelity in both geometry and appearance.
RHOBIN Challenge: Reconstruction of Human Object Interaction
Modeling the interaction between humans and objects has been an emerging research direction in recent years.
Template Free Reconstruction of Human-object Interaction with Procedural Interaction Generation
We generate 1M+ human-object interaction pairs in 3D and leverage this large-scale data to train our HDM (Hierarchical Diffusion Model), a novel method to reconstruct interacting human and unseen objects, without any templates.
Visibility Aware Human-Object Interaction Tracking from Single RGB Camera
In this work, we propose a novel method to track the 3D human, object, contacts between them, and their relative translation across frames from a single RGB camera, while being robust to heavy occlusions.
BEHAVE: Dataset and Method for Tracking Human Object Interactions
We present BEHAVE dataset, the first full body human- object interaction dataset with multi-view RGBD frames and corresponding 3D SMPL and object fits along with the annotated contacts between them.
CHORE: Contact, Human and Object REconstruction from a single RGB image
However, humans are constantly interacting with the surrounding objects, thus calling for models that can reason about not only the human but also the object and their interaction.
Ranked #2 on
3D Object Reconstruction
on BEHAVE
