TY  - JOUR
TI  - NeRF: Representing Scenes as Neural Radiance Fields
AU  - Mildenhall, B.
AU  - Srinivasan, P. P.
AU  - Tancik, M.
AU  - Barron, J. T.
AU  - Ramamoorthi, R.
AU  - Ng, R.
PY  - 2020
DA  - 2020/03//
JO  - ECCV 2020
AB  - Mildenhall et al. (2020) introduced Neural Radiance Fields, a method that represents a 3D scene as a continuous function mapping spatial coordinates and viewing direction to colour and volume density, parameterised by a multilayer perceptron optimised from a set of posed input photographs. Differentiable volume rendering integrates the field along camera rays to produce novel-view images that match the input photographs. NeRF received an ECCV 2020 Honourable Mention and spawned a large successor family including Instant-NGP (real-time training), Nerfstudio (production tooling) and 3D Gaussian Splatting (explicit primitive representation). These successors are relevant to VFX and virtual-production workflows; none of them are self-explanatory without NeRF.
KW  - 3d-generation
KW  - vfx-production
UR  - https://arxiv.org/abs/2003.08934
LA  - en
ER  -