TAP3D: Thermal-Assisted 3D Human Point Clouds

arXiv:2610.11241 · cs.CV, cs.HC · Submitted 2026-10-08 · Read on arXiv

cs.CV, cs.HC

Submitted: 2026-10-08

Updated: 2026-10-08

Code: https://github.com/aiot-lab/TAP3D

Terminology

• Point Clouds — 53× in this paper · explained in 2 episodes
• F1 Score — 37× in this paper · explained in 3 episodes
• Accuracy — 18× in this paper · explained in 1 episode
• Inverse Problem — 16× in this paper · explained in 2 episodes
• Robustness — 11× in this paper · explained in 5 episodes
• Computer Vision and Pattern Recognition — 9× in this paper
• Benchmark — 7× in this paper · explained in 2 episodes
• Differentiable Index Mapping — 6× in this paper
• Downstream Tasks — 5× in this paper · explained in 2 episodes
• Fidelity — 5× in this paper · explained in 2 episodes
• Calibration — 4× in this paper · explained in 7 episodes
• Directed Chamfer Distance — 4× in this paper
• Alignment — 3× in this paper · explained in 1 episode
• Aperture — 2× in this paper · explained in 1 episode
• Core — 2× in this paper · explained in 2 episodes
• Embodied AI — 2× in this paper · explained in 2 episodes
• Representation Learning — 2× in this paper · explained in 2 episodes
• Transformer — 2× in this paper · explained in 2 episodes
• Ablation — 1× in this paper · explained in 1 episode
• Ablation study — 1× in this paper · explained in 1 episode
• AdamW Optimizer — 1× in this paper · explained in 1 episode
• Alignment Methods — 1× in this paper · explained in 1 episode
• Bird-Eyes View — 1× in this paper
• Consistency — 1× in this paper · explained in 3 episodes
• Data Fusion — 1× in this paper · explained in 3 episodes
• Edge AI — 1× in this paper · explained in 2 episodes
• Entanglement — 1× in this paper · explained in 3 episodes
• Failure Modes — 1× in this paper · explained in 3 episodes
• Generalizability — 1× in this paper · explained in 6 episodes
• Generalization — 1× in this paper · explained in 13 episodes
• Graceful Degradation — 1× in this paper · explained in 2 episodes
• Optical Axis View — 1× in this paper
• Physical Constraints — 1× in this paper · explained in 7 episodes
• Point Cloud Data — 1× in this paper · explained in 2 episodes
• Quantifying Uncertainty — 1× in this paper · explained in 5 episodes
• Regularization — 1× in this paper · explained in 3 episodes
• Self-Supervised Learning — 1× in this paper · explained in 7 episodes
• Self-Supervised Learning (SSL) — 1× in this paper · explained in 4 episodes
• Sparsity — 1× in this paper · explained in 4 episodes
• Temporal consistency — 1× in this paper · explained in 2 episodes

Sources

• LiDAR-HMR: 3D Human Mesh Recovery from LiDAR
• BEVFusion: Multi-Task Multi-Sensor Fusion with Unified Bird's-Eye View Representation
• Decoupled Weight Decay Regularization
• Accelerating 3D Deep Learning with PyTorch3D
• A Survey of Multi-sensor Fusion Perception for Embodied AI: Background, Methods, Challenges and Prospects
• Deep Depth Estimation from Thermal Image: Dataset, Benchmark, and Challenges

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