VIP-L2.2
S3DC: Self-Supervised Single-Frame LiDAR Depth Completion
Yangke Li, Mike Davies, University of Edinburgh, United Kingdom
Session:
VIP-L2: 3D Vision, Neural Rendering, and Scene Representation Lecture
Track:
VIP - Visual Information Processing
Location:
Chamber Music Hall
Presentation Time:
Thu, 3 Sep, 16:20 - 16:40 Belgium Time (UTC +2)
Presentation
Discussion
Resources
No resources available.
Session VIP-L2
VIP-L2.1: GlossGau: Efficient Inverse Rendering for Glossy Surface with Anisotropic Spherical Gaussian
Bang Du, Runfa Li, Chen Du, Truong Nguyen, University of California San Diego, United States
VIP-L2.2: S3DC: Self-Supervised Single-Frame LiDAR Depth Completion
Yangke Li, Mike Davies, University of Edinburgh, United Kingdom
VIP-L2.3: A Robust Plug-and-Play Approach for 3D Point Cloud Registration via Expectation-Maximization
Maurine Bouzeid, TéSA / IRIT, France; Pierre Bruel, Vincent Poulain, Thales Services Numériques, France; Julian Tachella, CNRS / ENS Lyon, France; Jean-Yves Tourneret, TéSA / IRIT, France; David Youssefi, CNES, France
VIP-L2.4: 5D Radiance Fields From Local Regressions
Rodolphe Valicon De Soete, Colas Schretter, Peter Schelkens, Nikos Deligiannis, Vrije Universiteit Brussel, Belgium
VIP-L2.5: EVALUATION OF DYNAMIC GAUSSIAN SPLATS VERSUS POINT CLOUDS FOR SPARSE CAPTURES
Simone Croci, Athanasios Charisoudis, Kit Yung Lam, Aljosa Smolic, Lucerne University of Applied Sciences and Arts (HSLU), Switzerland