ResiHMR is the first single-image system to explicitly reconstruct residual-limb surfaces and perform topology-adaptive optimization for people with limb loss.
Hu- mannerf: Free-viewpoint rendering of moving people from monocular video
3 Pith papers cite this work. Polarity classification is still indexing.
3
Pith papers citing it
fields
cs.CV 3years
2026 3verdicts
UNVERDICTED 3representative citing papers
SparseCam4D achieves spatio-temporally consistent high-fidelity 4D reconstruction from sparse cameras via a Spatio-Temporal Distortion Field that corrects inconsistencies in generative observations.
HumanSplatHMR jointly refines 3D human poses and learns Gaussian Splatting avatars by backpropagating photometric, segmentation, and depth losses through a differentiable renderer to improve novel-view and novel-pose synthesis from in-the-wild video.
citing papers explorer
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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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SparseCam4D: Spatio-Temporally Consistent 4D Reconstruction from Sparse Cameras
SparseCam4D achieves spatio-temporally consistent high-fidelity 4D reconstruction from sparse cameras via a Spatio-Temporal Distortion Field that corrects inconsistencies in generative observations.
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HumanSplatHMR: Closing the Loop Between Human Mesh Recovery and Gaussian Splatting Avatar
HumanSplatHMR jointly refines 3D human poses and learns Gaussian Splatting avatars by backpropagating photometric, segmentation, and depth losses through a differentiable renderer to improve novel-view and novel-pose synthesis from in-the-wild video.