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ProteusNeRF: Fast Lightweight NeRF Editing using 3D-Aware Image Context
April 24, 2024, 4:45 a.m. | Binglun Wang, Niladri Shekhar Dutt, Niloy J. Mitra
cs.CV updates on arXiv.org arxiv.org
Abstract: Neural Radiance Fields (NeRFs) have recently emerged as a popular option for photo-realistic object capture due to their ability to faithfully capture high-fidelity volumetric content even from handheld video input. Although much research has been devoted to efficient optimization leading to real-time training and rendering, options for interactive editing NeRFs remain limited. We present a very simple but effective neural network architecture that is fast and efficient while maintaining a low memory footprint. This architecture …
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