GraphDiff-IK formulates inverse kinematics as a conditional graph diffusion process on kinematic graphs derived from URDF to generate joint configurations for single-arm, dual-arm, and multi-branch robots.
Denoising diffusion probabilistic models
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A privacy-preserving thermal-only crowd counting framework extracts enhanced features from thermal images via single-step LCM denoising in a depth-to-RGB diffusion model and matches RGB-T fusion performance without RGB input at inference.
citing papers explorer
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Whole-Body Inverse Kinematics with Graph Diffusion
GraphDiff-IK formulates inverse kinematics as a conditional graph diffusion process on kinematic graphs derived from URDF to generate joint configurations for single-arm, dual-arm, and multi-branch robots.
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Thermal-Only Crowd Counting with Deployment-Time Privacy Protection
A privacy-preserving thermal-only crowd counting framework extracts enhanced features from thermal images via single-step LCM denoising in a depth-to-RGB diffusion model and matches RGB-T fusion performance without RGB input at inference.