Interdiff: Generating 3d human-object interactions with physics-informed diffusion
This paper addresses a novel task of anticipating 3D human-object interactions (HOIs). Most
existing research on HOI synthesis lacks comprehensive whole-body interactions with …
existing research on HOI synthesis lacks comprehensive whole-body interactions with …
Emdm: Efficient motion diffusion model for fast and high-quality motion generation
Abstract We introduce Efficient Motion Diffusion Model (EMDM) for fast and high-quality
human motion generation. Current state-of-the-art generative diffusion models have …
human motion generation. Current state-of-the-art generative diffusion models have …
Controllable human-object interaction synthesis
Synthesizing semantic-aware, long-horizon, human-object interaction is critical to simulate
realistic human behaviors. In this work, we address the challenging problem of generating …
realistic human behaviors. In this work, we address the challenging problem of generating …
Cg-hoi: Contact-guided 3d human-object interaction generation
We propose CG-HOI the first method to address the task of generating dynamic 3D human-
object interactions (HOIs) from text. We model the motion of both human and object in an …
object interactions (HOIs) from text. We model the motion of both human and object in an …
Tlcontrol: Trajectory and language control for human motion synthesis
Controllable human motion synthesis is essential for applications in AR/VR, gaming and
embodied AI. Existing methods often focus solely on either language or full trajectory control …
embodied AI. Existing methods often focus solely on either language or full trajectory control …
Inferring Human Intent and Predicting Human Action in Human–Robot Collaboration
G Hoffman, T Bhattacharjee… - Annual Review of Control …, 2024 - annualreviews.org
Researchers in human–robot collaboration have extensively studied methods for inferring
human intentions and predicting their actions, as this is an important precursor for robots to …
human intentions and predicting their actions, as this is an important precursor for robots to …
Object pop-up: Can we infer 3d objects and their poses from human interactions alone?
The intimate entanglement between objects affordances and human poses is of large
interest, among others, for behavioural sciences, cognitive psychology, and Computer …
interest, among others, for behavioural sciences, cognitive psychology, and Computer …
Taco: Benchmarking generalizable bimanual tool-action-object understanding
Humans commonly work with multiple objects in daily life and can intuitively transfer
manipulation skills to novel objects by understanding object functional regularities. However …
manipulation skills to novel objects by understanding object functional regularities. However …
Dynamic scenario-enhanced diverse human motion prediction network for proactive human–robot collaboration in customized assembly tasks
Human motion prediction is crucial for facilitating human–robot collaboration in customized
assembly tasks. However, existing research primarily focuses on predicting limited human …
assembly tasks. However, existing research primarily focuses on predicting limited human …
Prediction and optimization of wastewater treatment process effluent chemical oxygen demand and energy consumption based on typical ensemble learning models
J Chen, J Wan, G Ye, Y Wang - Bioresource Technology, 2024 - Elsevier
Pollution integration and carbon reduction has become a primary focus in wastewater
treatment processes. In this study, water quality and control indicators were used as input …
treatment processes. In this study, water quality and control indicators were used as input …