March 21, 2024, 4:45 a.m. | Zaid Tasneem, Akshat Dave, Abhishek Singh, Kushagra Tiwary, Praneeth Vepakomma, Ashok Veeraraghavan, Ramesh Raskar

cs.CV updates on arXiv.org arxiv.org

arXiv:2403.13199v1 Announce Type: new
Abstract: Neural radiance fields (NeRFs) show potential for transforming images captured worldwide into immersive 3D visual experiences. However, most of this captured visual data remains siloed in our camera rolls as these images contain personal details. Even if made public, the problem of learning 3D representations of billions of scenes captured daily in a centralized manner is computationally intractable. Our approach, DecentNeRF, is the first attempt at decentralized, crowd-sourced NeRFs that require $\sim 10^4\times$ less server …

abstract arxiv cs.cv cs.dc data decentralized fields however images immersive neural radiance fields public show type visual visual data

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