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Z2P: Instant Visualization of Point Clouds

Metzer, G; Hanocka, R; Giryes, R; Mitra, NJ; Cohen-Or, D; (2022) Z2P: Instant Visualization of Point Clouds. In: Computer Graphics Forum. (pp. pp. 461-471). WILEY Green open access

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Abstract

We present a technique for visualizing point clouds using a neural network. Our technique allows for an instant preview of any point cloud, and bypasses the notoriously difficult surface reconstruction problem or the need to estimate oriented normals for splat-based rendering. We cast the preview problem as a conditional image-to-image translation task, and design a neural network that translates point depth-map directly into an image, where the point cloud is visualized as though a surface was reconstructed from it. Furthermore, the resulting appearance of the visualized point cloud can be, optionally, conditioned on simple control variables (e.g., color and light). We demonstrate that our technique instantly produces plausible images, and can, on-the-fly effectively handle noise, non-uniform sampling, and thin surfaces sheets.

Type: Proceedings paper
Title: Z2P: Instant Visualization of Point Clouds
Event: 43rd Annual Conference of the European-Association-for-Computer-Graphics (EUROGRAPHICS)
Location: Reims, FRANCE
Dates: 25 Apr 2022 - 29 Apr 2022
Open access status: An open access version is available from UCL Discovery
DOI: 10.1111/cgf.14487
Publisher version: https://doi.org/10.1111/cgf.14487
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
Keywords: Science & Technology, Technology, Computer Science, Software Engineering, Computer Science, SURFACE, SPACE
UCL classification: UCL
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/10159068
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