Search Results for author: Ajda Lampe

Found 2 papers, 1 papers with code

Body Segmentation Using Multi-task Learning

no code implementations13 Dec 2022 Julijan Jug, Ajda Lampe, Vitomir Štruc, Peter Peer

Body segmentation is an important step in many computer vision problems involving human images and one of the key components that affects the performance of all downstream tasks.

Multi-Task Learning Pose Prediction +1

C-VTON: Context-Driven Image-Based Virtual Try-On Network

2 code implementations8 Dec 2022 Benjamin Fele, Ajda Lampe, Peter Peer, Vitomir Štruc

At the core of the C-VTON pipeline are: (i) a geometric matching procedure that efficiently aligns the target clothing with the pose of the person in the input images, and (ii) a powerful image generator that utilizes various types of contextual information when synthesizing the final try-on result.

Geometric Matching Virtual Try-on

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