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. Our data set is publicly available for research purpose1.
Original language | English |
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Number of pages | 5 |
DOIs | |
Publication status | Published - 11 Oct 2021 |
Event | Differentiable 3D Vision and Graphics Workshop at ICCV 2021 - Virtual event Duration: 11 Oct 2021 → 11 Oct 2021 https://montrealrobotics.ca/diff3d/ |
Workshop
Workshop | Differentiable 3D Vision and Graphics Workshop at ICCV 2021 |
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Period | 11/10/21 → 11/10/21 |
Internet address |