First Workshop on Photorealistic Image and Environment Synthesis
for Computer Vision (PIES-CV)
To be held as a hybrid workshop in conjunction with IEEE/CVF WACV 2023.
Promoting the synthesis of photorealistic images and virtual environments for research purposes.
Mission of the project
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.
Call for Papers
Note: PIES-CV will be held as a hybrid workshop.
Topics of Interest
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)
Submission Guidelines
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.
Important Dates
Submission deadline: Monday, October 10th, 2022 (23:59 AoE)
Result notification: Friday, November 4th, 2022
Camera-ready deadline: Friday, November 18th, 2022
Organizers
Nicholas R. Gans, University of Texas at Arlington
Ryan P. McMahan, University of Central Florida
Examples of PIES
Matterport3D
Chang, A., Dai, A., Funkhouser, T., Halber, M., Niessner, M., Savva, M., Song, S., Zeng, A. and Zhang, Y. 2017. Matterport3d: Learning from rgb-d data in indoor environments. arXiv preprint arXiv:1709.06158. (2017).
3D-FRONT
Fu, H., Cai, B., Gao, L., Zhang, L., Li, C., Xun, Z., Sun, C., Fei, Y., Zheng, Y. and Li, Y. 2020. 3D- FRONT: 3D Furnished Rooms with layOuts and semaNTics. arXiv preprint arXiv:2011.09127. (2020).
Replica Dataset
Straub, J., Whelan, T., Ma, L., Chen, Y., Wijmans, E., Green, S., Engel, J.J., Mur-Artal, R., Ren, C. and Verma, S. 2019. The Replica dataset: A digital replica of indoor spaces. arXiv preprint arXiv:1906.05797. (2019).
Structured3D
Zheng, J., Zhang, J., Li, J., Tang, R., Gao, S. and Zhou, Z. 2019. Structured3d: A large photo- realistic dataset for structured 3d modeling. arXiv preprint arXiv:1908.00222. 2, 7 (2019).