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Croatia

David Bojanić

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@DavidBoja

PhD @ FER | PhD Visit @ INRIA Grenoble | 3D human shape and pose estimation with focus on 3D anthropometry

SMPL-Anthropometry. Measure the SMPL body model

314

SMPL-Fitting. Fit an SMPL body model to a scan

110

awesome-3D-scanners. A list of 3D scanners and their specifications.

51

pose-independent-anthropometry. [ECCV 24 wksp] Pose-independent 3D Anthropometry from Sparse Data

44

Landmarks2Anthropometry. [VISAPP 24] Direct 3D Body Measurement Estimation from Sparse Landmarks

31

awesome-3D-body-measurement-mobile-apps. List of iOS and Android mobile apps for 3D human body measurements.

25

exhaustive-grid-search. [MVA 24] Addressing the generalization of 3D registration methods with a featureless baseline and an unbiased benchmark

22

greedy-grid-search. [BMVC 2022 workshop] Greedy Grid Search: A 3D Registration Baseline

17

FPv1. [BMVC 2022 workshop] 3D registration benchmark dataset FAUST-partial

13

docker-collection. A collection of docker implementations of existing projects.

4

pyTorchChamferDistance. Implementation of the Chamfer Distance as a module for pyTorch

1

Fitbit-smart-alarm. A hacky implementation of a Fitbit smart alarm for older Fitbit devices.

1