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Nerfstudio: A Modular Framework for Neural Radiance Field Development
SessionEnvironment Rendering: NeRFs on Earth
DescriptionNerfstudio is a PyTorch framework for capturing, training, and visualizing NeRFs. Our framework includes plug-and-play components for implementing NeRF-based methods, which makes it easy for researchers and practitioners to incorporate NeRF into their projects. Nerfstudio also includes streamlined pipelines for captured-in-the-wild data and real-time visualization tools.
Authors
Matthew Tancik
University of California Berkeley
Ethan Weber
University of California Berkeley
Evonne Ng
University of California Berkeley
Ruilong Li
University of California Berkeley
Brent Yi
University of California Berkeley
Terrance Wang
University of California Berkeley
Alexander Kristoffersen
University of California Berkeley
Jake Austin
University of California Berkeley
Kamyar Salahi
University of California Berkeley
Abhik Ahuja
University of California Berkeley
David McAllister
University of California Berkeley
Justin Kerr
University of California Berkeley
Angjoo Kanazawa
University of California Berkeley
Event Type
Technical Paper
TimeThursday, 10 August 202311:17am - 11:27am PDT
LocationRoom 502 AB
Interest Areas
Research & Education
Recordings
Livestreamed
Recorded
Keywords
Artificial Intelligence/Machine Learning
Rendering
Video
Registration Categories
FC
FCS
V
VS
EFC
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