Nov. 10, 2022, 2:14 a.m. | H. Zunair, Y. Gobeil, S. Mercier, A. Ben Hamza

cs.CV updates on arXiv.org arxiv.org

Previous virtual try-on methods usually focus on aligning a clothing item
with a person, limiting their ability to exploit the complex pose, shape and
skin color of the person, as well as the overall structure of the clothing,
which is vital to photo-realistic virtual try-on. To address this potential
weakness, we propose a fill in fabrics (FIFA) model, a self-supervised
conditional generative adversarial network based framework comprised of a
Fabricator and a unified virtual try-on pipeline with a Segmenter, Warper …

arxiv fabrics image inpainting virtual

Software Engineer for AI Training Data (School Specific)

@ G2i Inc | Remote

Software Engineer for AI Training Data (Python)

@ G2i Inc | Remote

Software Engineer for AI Training Data (Tier 2)

@ G2i Inc | Remote

Data Engineer

@ Lemon.io | Remote: Europe, LATAM, Canada, UK, Asia, Oceania

Artificial Intelligence – Bioinformatic Expert

@ University of Texas Medical Branch | Galveston, TX

Lead Developer (AI)

@ Cere Network | San Francisco, US