TU3.L1.3
SINOGRAM INPAINTING WITH PHYSICS-GUIDED LATENT DIFFUSION MODEL FOR SYNCHROTRON LIGHT SOURCES
Srutarshi Banerjee, Argonne National Laboratory, United States; Jiaze E, Bin Ren, College of William and Mary, United States; Tekin Bicer, Argonne National Laboratory, United States
Session:
TU3.L1: Machine Learning in Signal Processing 2 Spotlight
Track:
[ML] Machine Learning in Signal Processing
Location:
Spotlight Room 1
Presentation Time:
Tue, 16 Sep, 15:40 - 16:00 Anchorage Time (UTC -8)
Session Chair:
Thomas Richter, Fraunhofer IIS
Presentation
Discussion
Resources
No resources available.
Session TU3.L1
TU3.L1.1: IMPROVING PSEUDO-LABELS SELECTION USING DOMAIN PRIORS FOR SEMI-SUPERVISED DETECTION IN CAPSULE ENDOSCOPY
Bidossessi Emmanuel Agossou, Marius Pedersen, Anuja Vats, Kiran Raja, Norwegian University of Science and Technology (NTNU), Norway
TU3.L1.2: ERP-AWARE TEXT-TO-360 PANORAMA DIFFUSION MODEL
Ju-Hee Lee, Je-Won Kang, Ewha Womans University, Korea (South)
TU3.L1.3: SINOGRAM INPAINTING WITH PHYSICS-GUIDED LATENT DIFFUSION MODEL FOR SYNCHROTRON LIGHT SOURCES
Srutarshi Banerjee, Argonne National Laboratory, United States; Jiaze E, Bin Ren, College of William and Mary, United States; Tekin Bicer, Argonne National Laboratory, United States
Contacts