3D Scene Reconstruction with Neural Radiance Fields (NeRF) Considering Dynamic Illumination Conditions
This paper addresses the problem of novel view synthesis using Neural Radiance Fields (NeRF) for scenes with dynamic illumination. NeRF training utilizes photometric consistency loss that is pixel-wise consistency between a set of scene images and intensity values rendered by NeRF. For reflective su...
Main Authors: | Olena Kolodiazhna, Volodymyr Savin, Mykhailo Uss, Nataliia Kussul |
---|---|
Format: | Article |
Language: | English |
Published: |
Anhalt University of Applied Sciences
2023-03-01
|
Series: | Proceedings of the International Conference on Applied Innovations in IT |
Subjects: | |
Online Access: | https://icaiit.org/paper.php?paper=11th_ICAIIT_1/4_6 |
Similar Items
-
STs-NeRF: Novel View Synthesis of Space Targets Based on Improved Neural Radiance Fields
by: Kaidi Ma, et al.
Published: (2024-06-01) -
Inspection-Nerf: Rendering Multi-Type Local Images for Dam Surface Inspection Task Using Climbing Robot and Neural Radiance Field
by: Kunlong Hong, et al.
Published: (2023-01-01) -
Unmanned Aerial Vehicle-Neural Radiance Field (UAV-NeRF): Learning Multiview Drone Three-Dimensional Reconstruction with Neural Radiance Field
by: Li Li, et al.
Published: (2024-11-01) -
Complex-Motion NeRF: Joint Reconstruction and Pose Optimization With Motion and Depth Priors
by: Hyunjin Kim, et al.
Published: (2023-01-01) -
Magic NeRF lens: interactive fusion of neural radiance fields for virtual facility inspection
by: Ke Li, et al.
Published: (2024-04-01)