We introduce a method to render Neural Radiance Fields (NeRFs) in real time using PlenOctrees, an octree-based 3D representation which supports view-dependent effects. Our real-time neural rendering approach may potentially enable new applications such as 6-DOF industrial and product visualizations, as well as next generation AR/VR systems.
This research advances how AI systems learn, reason, and solve problems — with direct implications for automation and scientific discovery.
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| Category | 🤖 Artificial Intelligence |
| Published | Oct 01, 2021 |
| Journal | 2021 IEEE/CVF International Conference on Computer Vision (ICCV) |
| Authors | Alex Yu, Ruilong Li, Matthew Tancik, Hao Li, Ren Ng |
| DOI | 10.1109/iccv48922.2021.00570 |
| Citations | 798 |
| Source | OpenAlex |