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CALL FOR PAPERS
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The First Workshop on Photorealistic Image and Environment Synthesis for Computer Vision (PIES-CV) will engage experts and researchers on the synthesis of photorealistic images and virtual environments, particularly in the form of public datasets, software tools, and infrastructures, for computer vision (CV) research. Such public datasets, software tools, and infrastructures will enable researchers to better investigate how photorealism affects CV algorithms and approaches. Photorealistic image and environment synthesis can benefit multiple research areas in addition to CV, such as machine learning, robotics, human perception, multimedia systems, and mixed reality.
The topics of interest include but are not limited to:
● 360° image/video capture and playback
● Automated/semi-automated reconstruction
● Computer vision algorithms based on photorealistic data
● Environment capture/scanning
● Evaluations of photorealistic images and environments
● High-fidelity mesh representations
● Image/video capture and playback
● Machine learning models based on photorealistic data
● Manipulation and interaction with synthetic objects
● Point cloud representations
● Simultaneous localization and mapping (SLAM)
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SUBMISSION GUIDELINES
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Full paper submissions should propose comprehensive and well-validated solutions, and adhere to the guidelines of standard WACV 2023 submissions (max 8 pages + references). Accepted full papers will be published under the WACV 2023 workshop proceedings and will be included in IEEE Xplore.
All submissions should be compiled for double-blind review and adopt the standard WACV 2023 template. An Overleaf Toolkit can be found at https://www.overleaf.com/latex/templates/wacv-2023-author-kit-template/sthdnkfzqvtf
Submissions will be via Microsoft Research Conference Management Tool: https://cmt3.research.microsoft.com/PIESCV2023/
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IMPORTANT DATES
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Submission deadline: October 10th, 2022 (23:59 AoE)
Result notification: November 4th, 2022
Camera-ready deadline: November 18th, 2022
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WORKSHOP ORGANIZERS
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Nicholas R. Gans, University of Texas at Arlington
Ryan P. McMahan, University of Central Florida
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PROGRAM COMMITTEE
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• William Beksi – University of Texas at Arlington
• Chen Chen – University of Central Florida
• Nicholas Gans – University of Texas at Arlington
• Asif Iqbal – University of Texas at Arlington
• Ryan P. McMahan – University of Central Florida
• Katja Schwarz – University of Tübingen