Search Results for author: Evren Imre

Found 2 papers, 0 papers with code

Multi-View Consistency Loss for Improved Single-Image 3D Reconstruction of Clothed People

no code implementations29 Sep 2020 Akin Caliskan, Armin Mustafa, Evren Imre, Adrian Hilton

This paper introduces two advances to overcome this limitation: firstly a new synthetic dataset of realistic clothed people, 3DVH; and secondly, a novel multiple-view loss function for training of monocular volumetric shape estimation, which is demonstrated to significantly improve generalisation and reconstruction accuracy.

3D Human Shape Estimation 3D Reconstruction

Learning Dense Wide Baseline Stereo Matching for People

no code implementations2 Oct 2019 Akin Caliskan, Armin Mustafa, Evren Imre, Adrian Hilton

We show that it is possible to learn stereo matching from synthetic people dataset and improve performance on real datasets for stereo reconstruction of people from narrow and wide baseline stereo data.

Data Augmentation Stereo Matching

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