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Jun, 2023
揭示对抗扰动对可推广的神经辐射场的漏洞:NeRFool
NeRFool: Uncovering the Vulnerability of Generalizable Neural Radiance Fields against Adversarial Perturbations
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Yonggan Fu, Ye Yuan, Souvik Kundu, Shang Wu, Shunyao Zhang...
TL;DR
本研究提出 NeRFool 以深入了解 GNeRF 的对抗鲁棒性,并进一步开发出两种攻击方法和防御指南,从而为开发具有鲁棒性的实际应用奠定了基础。
Abstract
generalizable neural radiance fields
(GNeRF) are one of the most promising real-world solutions for
novel view synthesis
, thanks to their cross-scene generalization capability and thus the possibility of instant
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