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Computer Science > Computer Vision and Pattern Recognition

arXiv:2109.02929 (cs)
[Submitted on 7 Sep 2021 (v1), last revised 7 Oct 2021 (this version, v2)]

Title:Brand Label Albedo Extraction of eCommerce Products using Generative Adversarial Network

Authors:Suman Sapkota, Manish Juneja, Laurynas Keleras, Pranav Kotwal, Binod Bhattarai
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Abstract:In this paper we present our solution to extract albedo of branded labels for e-commerce products. To this end, we generate a large-scale photo-realistic synthetic data set for albedo extraction followed by training a generative model to translate images with diverse lighting conditions to albedo. We performed an extensive evaluation to test the generalisation of our method to in-the-wild images. From the experimental results, we observe that our solution generalises well compared to the existing method both in the unseen rendered images as well as in the wild image.
Comments: 5 pages, 5 figures
Subjects: Computer Vision and Pattern Recognition (cs.CV); Machine Learning (cs.LG)
Cite as: arXiv:2109.02929 [cs.CV]
  (or arXiv:2109.02929v2 [cs.CV] for this version)
  https://doi.org/10.48550/arXiv.2109.02929

Submission history

From: Suman Sapkota [view email]
[v1] Tue, 7 Sep 2021 08:30:15 UTC (9,308 KB)
[v2] Thu, 7 Oct 2021 08:45:50 UTC (9,308 KB)
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