@article{nerfstudio2023,
  title = {Nerfstudio: A Modular Framework for Neural Radiance Field Development},
  author = {Tancik, M. and Weber, E. and Ng, E. and Li, R. and Yi, B. and Kerr, J. and Wang, T. and Kristoffersen, A. and Austin, J. and Salahi, K. and Ahuja, A. and McAllister, D. and Kanazawa, A.},
  year = {2023},
  journal = {ACM SIGGRAPH 2023 Conference Proceedings},
  url = {https://arxiv.org/abs/2302.04264},
  abstract = {Tancik et al. (2023) present Nerfstudio, a modular Python framework that standardises and simplifies the training, evaluation, and export of neural radiance field models. By abstracting the pipeline into interchangeable components, the framework reduced the barrier to entry for both research and production use. Named production use at Industrial Light and Magic and a Hollywood Professional Association Engineering Excellence Award confirm that Nerfstudio crossed from research tool to production credit within the window, making it a distinct and important entry alongside the underlying Instant-NGP method.},
  keywords = {generative-ai, 3d-generation, vfx-production, production-practice},
  note = {AI \& Animation Education Knowledge Base}
}