InterDiff: Generating 3D Human-Object Interactions with Physics-Informed Diffusion
Author:
Affiliation:
1. University of Illinois at Urbana-Champaign
Funder
Delta
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10376473/10376477/10378481.pdf?arnumber=10378481
Reference128 articles.
1. Discrete Cosine Transform
2. Can We Use Diffusion Probabilistic Models for 3D Motion Prediction?
3. PMP: Learning to Physically Interact with Environments using Part-wise Motion Priors
4. BeLFusion: Latent Diffusion for Behavior-Driven Human Motion Prediction
5. BEHAVE: Dataset and Method for Tracking Human Object Interactions
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1. Enhancing Robotic Collaborative Tasks Through Contextual Human Motion Prediction and Intention Inference;International Journal of Social Robotics;2024-07-13
2. Synthesizing Physically Plausible Human Motions in 3D Scenes;2024 International Conference on 3D Vision (3DV);2024-03-18
3. ROAM: Robust and Object-Aware Motion Generation Using Neural Pose Descriptors;2024 International Conference on 3D Vision (3DV);2024-03-18
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