SHARP 2020: The 1st Shape Recovery from Partial Textured 3D Scans Challenge Results

no code implementations • 26 Oct 2020 • Alexandre Saint, Anis Kacem, Kseniya Cherenkova, Konstantinos Papadopoulos, Julian Chibane, Gerard Pons-Moll, Gleb Gusev, David Fofi, Djamila Aouada, Bjorn Ottersten

Additionally, two unique datasets of 3D scans are proposed, to provide raw ground-truth data for the benchmarks.

Benchmarking

3DBooSTeR: 3D Body Shape and Texture Recovery

no code implementations • 23 Oct 2020 • Alexandre Saint, Anis Kacem, Kseniya Cherenkova, Djamila Aouada

The texture is subsequently obtained by projecting the partial texture onto the template mesh before inpainting the corresponding texture map with a novel approach.

Towards Generalization of 3D Human Pose Estimation In The Wild

no code implementations • 21 Apr 2020 • Renato Baptista, Alexandre Saint, Kassem Al Ismaeil, Djamila Aouada

Retraining a state-of-the-art 3D pose estimation approach using data augmented with 3DBodyTex. Pose showed promising improvement in the overall performance, and a sensible decrease in the per joint position error when testing on challenging viewpoints.

3D Human Pose Estimation 3D Pose Estimation

A survey on Deep Learning Advances on Different 3D Data Representations

no code implementations • 4 Aug 2018 • Eman Ahmed, Alexandre Saint, Abd El Rahman Shabayek, Kseniya Cherenkova, Rig Das, Gleb Gusev, Djamila Aouada, Bjorn Ottersten

3D data is a valuable asset the computer vision filed as it provides rich information about the full geometry of sensed objects and scenes.