Object pop-up: Can we infer 3D objects and their poses from human interactions alone?
Author:
Affiliation:
1. University of Tübingen,Germany
2. Max Planck Institute for Informatics, Saarland Informatics Campus,Germany
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10203037/10203050/10204148.pdf?arnumber=10204148
Reference73 articles.
1. D-Grasp: Physically Plausible Dynamic Grasp Synthesis for Hand-Object Interactions
2. Holistic 3D Human and Scene Mesh Estimation from Single View Images
3. Holistic++ Scene Understanding: Single-View 3D Holistic Scene Parsing and Human Pose Estimation With Human-Object Interaction and Physical Commonsense
4. Learn to Predict How Humans Manipulate Large-Sized Objects From Interactive Motions
5. GanHand: Predicting Human Grasp Affordances in Multi-Object Scenes
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1. ROAM: Robust and Object-Aware Motion Generation Using Neural Pose Descriptors;2024 International Conference on 3D Vision (3DV);2024-03-18
2. Diffusion-Guided Reconstruction of Everyday Hand-Object Interaction Clips;2023 IEEE/CVF International Conference on Computer Vision (ICCV);2023-10-01
3. InterDiff: Generating 3D Human-Object Interactions with Physics-Informed Diffusion;2023 IEEE/CVF International Conference on Computer Vision (ICCV);2023-10-01
4. Visibility Aware Human-Object Interaction Tracking from Single RGB Camera;2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR);2023-06
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