ResiHMR is the first single-image system to explicitly reconstruct residual-limb surfaces and perform topology-adaptive optimization for people with limb loss.
Icon: Implicit clothed humans obtained from nor- mals
2 Pith papers cite this work. Polarity classification is still indexing.
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UNVERDICTED 2representative citing papers
SGSoft introduces a template-guided pipeline that fuses semantic and geometric features to learn dense correspondences across deformable 3D shapes with claimed SOTA generalization and real-time efficiency.
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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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SGSoft: Learning Fused Semantic-Geometric Features for 3D Shape Correspondence via Template-Guided Soft Signals
SGSoft introduces a template-guided pipeline that fuses semantic and geometric features to learn dense correspondences across deformable 3D shapes with claimed SOTA generalization and real-time efficiency.