ResiHMR is the first single-image system to explicitly reconstruct residual-limb surfaces and perform topology-adaptive optimization for people with limb loss.
Deepsdf: Learning con- tinuous signed distance functions for shape representation
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GAI-GS integrates 3D Gaussian splatting and geometric algebra attention into an end-to-end model for wireless channel prediction that outperforms baselines on real indoor datasets.
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ResiHMR: Residual-Limb Aware Single-Image 3D Human Mesh Recovery for Individuals with Limb Loss
ResiHMR is the first single-image system to explicitly reconstruct residual-limb surfaces and perform topology-adaptive optimization for people with limb loss.
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A Geometric Algebra-Informed 3DGS Framework for Wireless Channel Prediction
GAI-GS integrates 3D Gaussian splatting and geometric algebra attention into an end-to-end model for wireless channel prediction that outperforms baselines on real indoor datasets.