RefiNeRF: Modelling dynamic neural radiance fields with inconsistent or missing camera parameters

15 March 2023

Papers citing "RefiNeRF: Modelling dynamic neural radiance fields with inconsistent or missing camera parameters"

4 / 4 papers shown

Title
Neural radiance fields in the industrial and robotics domain: applications, research opportunities and use cases Eugen Šlapak Enric Pardo Matús Dopiriak T. Maksymyuk Juraj Gazda AI4CE 17 11 0 14 Aug 2023
wildNeRF: Complete view synthesis of in-the-wild dynamic scenes captured using sparse monocular data Shuja Khalid Frank Rudzicz 16 3 0 20 Sep 2022
Dense Depth Priors for Neural Radiance Fields from Sparse Input Views Barbara Roessle Jonathan T. Barron B. Mildenhall Pratul P. Srinivasan Matthias Nießner VGen 120 352 0 06 Dec 2021
EndoNet: A Deep Architecture for Recognition Tasks on Laparoscopic Videos A. P. Twinanda S. Shehata Didier Mutter J. Marescaux M. de Mathelin N. Padoy 168 828 0 09 Feb 2016