UCL Discovery
UCL home » Library Services » Electronic resources » UCL Discovery

Plausible Shading Decomposition For Layered Photo Retouching

Innamorati, C; Ritschel, T; Weyrich, T; Mitra, NJ; (2017) Plausible Shading Decomposition For Layered Photo Retouching. Green open access

[img]
Preview
Text
Weyrich_1701.06507v2.pdf - Accepted version

Download (8MB) | Preview

Abstract

Photographers routinely compose multiple manipulated photos of the same scene (layers) into a single image, which is better than any individual photo could be alone. Similarly, 3D artists set up rendering systems to produce layered images to contain only individual aspects of the light transport, which are composed into the final result in post-production. Regrettably, both approaches either take considerable time to capture, or remain limited to synthetic scenes. In this paper, we suggest a system to allow decomposing a single image into a plausible shading decomposition (PSD) that approximates effects such as shadow, diffuse illumination, albedo, and specular shading. This decomposition can then be manipulated in any off-the-shelf image manipulation software and recomposited back. We perform such a decomposition by learning a convolutional neural network trained using synthetic data. We demonstrate the effectiveness of our decomposition on synthetic (i.e., rendered) and real data (i.e., photographs), and use them for common photo manipulation, which are nearly impossible to perform otherwise from single images.

Type: Working / discussion paper
Title: Plausible Shading Decomposition For Layered Photo Retouching
Open access status: An open access version is available from UCL Discovery
Publisher version: https://arxiv.org/abs/1701.06507
Language: English
UCL classification: UCL > Provost and Vice Provost Offices
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science
URI: https://discovery.ucl.ac.uk/id/eprint/1539809
Downloads since deposit
12Downloads
Download activity - last month
Download activity - last 12 months
Downloads by country - last 12 months

Archive Staff Only

View Item View Item