AI RESEARCH
Efficient Construction of Implicit Surface Models From a Single Image for Motion Generation
arXiv CS.CV
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ArXi:2509.20681v2 Announce Type: replace-cross Implicit representations have been widely applied in robotics for obstacle avoidance and path planning. In this paper, we explore the problem of constructing an implicit distance representation from a single image. Past methods for implicit surface reconstruction, such as NeuS and its variants generally require a large set of multi-view images as input, and require long