AI-based and LIDAR-based Image Processing Pipeline for Immersive Editing and Collaborative Design
Muhammad Muhammad Tukur, Marco Agus, Uzair Shah, Jens Schneider, Sara Jashari, Mahmood Al-Zubaidi, Noora Fetais, Yehia Boraey, and Alberto Jaspe-Villanueva
Patent application US 2026/0154782 A1
Assignee: Hamad Bin Khalifa University, Qatar
@Misc{Tukur:2026:ALI,
author = {Muhammad Muhammad Tukur and Marco Agus and Uzair Shah and Jens Schneider and Sara Jashari and Mahmood Al-Zubaidi and Noora Fetais and Yehia Boraey and Alberto Jaspe-Villanueva},
title = {{AI}-based and {LIDAR}-based Image Processing Pipeline for Immersive Editing and Collaborative Design},
howpublished = {US Patent Application 2026/0154782 A1},
year = {2026},
month = jun,
note = {Filed November 18, 2025. Assignee: Hamad Bin Khalifa University},
}- Publication number
- US 2026/0154782 A1
- Application
- US 19/393,065
- Assignee
- Hamad Bin Khalifa University, Qatar
- Inventors
- Muhammad Muhammad Tukur, Marco Agus, Uzair Shah, Jens Schneider, Sara Jashari, Mahmood Al-Zubaidi, Noora Fetais, Yehia Boraey, and Alberto Jaspe-Villanueva
- Priority date
- December 2, 2024
- Filed
- November 18, 2025
- Published
- June 4, 2026
- Status
- Pending (published application)
Abstract
The present disclosure provides for an AI-based and LIDAR-based image processing pipeline for immersive editing and collaborative design. According to one aspect of the present disclosure an AI-based and LIDAR-based image processing pipeline for immersive editing and collaborative design. According to a second aspect of the present disclosure a method of using an AI-based and LIDAR-based image processing pipeline for immersive editing and collaborative design.
US patent application filed in November 2025 and published in June 2026 with the Hamad Bin Khalifa University team. The claims describe a pipeline that starts from a single spherical image of an indoor scene and chains clutter removal, multitask dense prediction, indoor style transfer with a hybrid attention mechanism, an editing module and automatic stereo generation, so that a captured room can be emptied, restyled, edited collaboratively and viewed immersively. It builds on our work on indoor modeling from panoramic images. The application is pending; the full text is on Google Patents.