NeRF to XR

Experimenting with neural radiance fields for VR/AR applications. The goal is to see how NeRFs (aka neural radiance fields) can drastically improve the costliness and speed of developing VR training and education applications at iQ3Connect Inc.

This code repository includes forks of the OSS for the following papers (please see the "References" section for links to the original works, and attributions):

1. Local Light Field Fusion (aka llff)
2. Neural Radiance Field (aka the original nerf)
3. Baking Neural Radiance Fields for Real-Time View Synthesis (aka snerg)
4. Tensorial Radiance Fields (aka TensoRF)

Release Schedule

All releases are scheduled to go live by 7 P.M. E.S.T.

Version	Description	Date
0.0.1	Cleaner TensoRF and SNeRG implementations	Wed June 29, 2022

References

[1] B. Mildenhall et al., “Local Light Field Fusion: Practical View Synthesis with Prescriptive Sampling Guidelines,” ArXiv190500889 Cs, May 2019, Accessed: Feb. 20, 2022. [Online]. Available: http://arxiv.org/abs/1905.00889

[2] B. Mildenhall, P. P. Srinivasan, M. Tancik, J. T. Barron, R. Ramamoorthi, and R. Ng, “NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis,” ArXiv200308934 Cs, Aug. 2020, Accessed: Feb. 14, 2022. [Online]. Available: http://arxiv.org/abs/2003.08934

[3] P. Hedman, P. P. Srinivasan, B. Mildenhall, J. T. Barron, and P. Debevec, “Baking Neural Radiance Fields for Real-Time View Synthesis,” ArXiv210314645 Cs, Mar. 2021, Accessed: Feb. 17, 2022. [Online]. Available: http://arxiv.org/abs/2103.14645

[4] A. Chen, Z. Xu, A. Geiger, J. Yu, and H. Su, “TensoRF: Tensorial Radiance Fields,” ArXiv220309517 Cs, Mar. 2022, Accessed: Mar. 20, 2022. [Online]. Available: http://arxiv.org/abs/2203.09517