4 accepted papers
"What cannot be measured cannot be improved" while likely never uttered by Lord Kelvin, summarizes effectively the driving force behind this work. This paper presents a detailed discussion of automated metrics for evaluating structured 3D reconstructions. Pitfalls of each metric are discussed, and a…
In the evolving landscape of text-to-3D technology, Dreamfusion [9] optimizes implicit representations like NeRF using Score Distillation Sampling (SDS) but faces limitations in both fidelity and speed. Specifically, it faces the multi-head Janus issue and exhibits a relatively slow optimization pro…
Identifying spatially complete planar primitives from visual data is a crucial task in computer vision. Prior methods are largely restricted to either 2D segment recovery or simplifying 3D structures, even with extensive plane annotations. We present PlanarNeRF, a novel framework capable of detectin
We present UniPlane, a novel approach that unifies plane detection and reconstruction from posed monocular videos. Unlike existing methods that detect planes from local observations and associate them across the video for the final reconstruction, UniPlane unifies both the detection and the reconstr…