Following the success of the 1st to 3rd ICCV Workshop
on Physics Based Vision Meets DeepLearning (PBDL2017 - 2021). We propose the 4th workshop using the same title and topics with CVPR 2024.The
goal is to bring together engineers and researchers from both academia and industry to discuss the current
state of the art in the field and future challenges of integrating classic physics based approaches into the
modern data-driven deep learning ones.Physics based vision
aims to invert the processes to recover the scene properties, such as shape, reflectance, light
distribution, medium properties, etc., from images. In recent years, deep learning shows promising
improvement for various vision tasks. When physics based vision meets deep learning, there must be
mutual benefits.
We welcome submissions of new methods in the classic physics based vision
problems, but preference will be given to novel insights inspired by utilizing deep learning techniques.
Relevant topics include but are not limited to
Machine learning (or general data driven approach)+
• Photometric 3D reconstruction
• Radiometric modeling/calibration of cameras
• Color constancy
• Illumination analysis and estimation
• Reflectance modeling, fitting, and analysis
• Forward/inverse renderings
• Material recognition and classification
• Transparency and multi-layer imaging
• Reflection removal
• Intrinsic image decomposition
• Light field imaging
• Multispectral/hyperspectral capture, modeling and
analysis
• Vision in bad weather (dehaze, derain, etc.)
• Structured light techniques (sensors, BRDF measurement and analysis)
• TOF sensors and its applications
Paper submission is through Openreview:
https://openreview.net/group?id=thecvf.com/CVPR/2024/Workshop/PBDL
The format for paper submission is the same as the CVPR 2024 submission
format. Papers that are not properly anonymized, or do not use the template,
or have more than eight pages (excluding references) will be rejected without review. The accepted papers will appear in
the proceedings of CVPR 2024 workshops. In submitting a manuscript to this workshop, the authors
acknowledge that no paper substantially similar in content has been submitted to another workshop or
conference during the review period.
There are two tracks in the PBDL2024:
Scientific Paper Track - double blind peer reviewed and indexed by the CVPR proceeding.
• Paper submission: 29 Mar. 2024
• Acceptance notification: 7 Apr.2024
• Camera ready: 14 Apr.2024
Emerging Research Topics Track - non-anonymous, not reviewed, not indexed by the CVPR proceeding, by invitation or by accessment of the organizers.
• Paper submission: 15 Apr. 2024
• Acceptance notification: 22 Apr.2024
• Camera ready: 29 Apr.2024