PoseShield learns a neural collision field directly in SMPL pose space with Eikonal regularization to correct self-collisions post-hoc in human pose estimation and motion generation, achieving 95.8% success on a new benchmark.
In: Proceedings of the IEEE conference on computer vision and pattern recognition
4 Pith papers cite this work. Polarity classification is still indexing.
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HOIGS adds a cross-attention HOI module to Gaussian Splatting that combines HexPlane human features with Cubic Hermite Spline object features to model interaction-induced deformations.
SkelMo introduces a category-agnostic diffusion framework for skeletal motion generation from 2D videos, trained on a new dataset of ~20,000 rigged 3D animations with a structural-semantic injection mechanism.
Optimization-based weighted registration of SMPL to noisy mmWave point clouds with foot-ground and pose constraints extracts anthropometric measurements contactlessly through clothing.
citing papers explorer
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PoseShield: Neural Collision Fields for Human Self-Collision Resolution
PoseShield learns a neural collision field directly in SMPL pose space with Eikonal regularization to correct self-collisions post-hoc in human pose estimation and motion generation, achieving 95.8% success on a new benchmark.
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HOIGS: Human-Object Interaction Gaussian Splatting
HOIGS adds a cross-attention HOI module to Gaussian Splatting that combines HexPlane human features with Cubic Hermite Spline object features to model interaction-induced deformations.
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SkelMo: Universal Skeletal Motion Generation for 3D Rigged Shapes
SkelMo introduces a category-agnostic diffusion framework for skeletal motion generation from 2D videos, trained on a new dataset of ~20,000 rigged 3D animations with a structural-semantic injection mechanism.
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Millimeter-wave Imaging for Anthropometric Body Measurement
Optimization-based weighted registration of SMPL to noisy mmWave point clouds with foot-ground and pose constraints extracts anthropometric measurements contactlessly through clothing.