all AI news
SCINeRF: Neural Radiance Fields from a Snapshot Compressive Image
April 1, 2024, 4:45 a.m. | Yunhao Li, Xiaodong Wang, Ping Wang, Xin Yuan, Peidong Liu
cs.CV updates on arXiv.org arxiv.org
Abstract: In this paper, we explore the potential of Snapshot Compressive Imaging (SCI) technique for recovering the underlying 3D scene representation from a single temporal compressed image. SCI is a cost-effective method that enables the recording of high-dimensional data, such as hyperspectral or temporal information, into a single image using low-cost 2D imaging sensors. To achieve this, a series of specially designed 2D masks are usually employed, which not only reduces storage requirements but also offers …
arxiv cs.cv eess.iv fields image neural radiance fields type
More from arxiv.org / cs.CV updates on arXiv.org
Jobs in AI, ML, Big Data
Lead Developer (AI)
@ Cere Network | San Francisco, US
Research Engineer
@ Allora Labs | Remote
Ecosystem Manager
@ Allora Labs | Remote
Founding AI Engineer, Agents
@ Occam AI | New York
AI Engineer Intern, Agents
@ Occam AI | US
AI Research Scientist
@ Vara | Berlin, Germany and Remote