April 23, 2024, 4:47 a.m. | Tao Hu, Wenhang Ge, Yuyang Zhao, Gim Hee Lee

cs.CV updates on arXiv.org arxiv.org

arXiv:2404.14329v1 Announce Type: new
Abstract: In this paper, we introduce X-Ray, an innovative approach to 3D generation that employs a new sequential representation, drawing inspiration from the depth-revealing capabilities of X-Ray scans to meticulously capture both the external and internal features of objects. Central to our method is the utilization of ray casting techniques originating from the camera's viewpoint, meticulously recording the geometric and textural details encountered across all intersected surfaces. This process efficiently condenses complete objects or scenes into …

abstract arxiv capabilities cs.cv features inspiration objects paper ray representation scans type x-ray

AI Research Scientist

@ Vara | Berlin, Germany and Remote

Data Architect

@ University of Texas at Austin | Austin, TX

Data ETL Engineer

@ University of Texas at Austin | Austin, TX

Lead GNSS Data Scientist

@ Lurra Systems | Melbourne

Senior Data Engineer (m/f/d)

@ Project A Ventures | Berlin, Germany

Principle Research Scientist

@ Analog Devices | US, MA, Boston