81 citations · 87 across the 2 of their papers we have counts for
5 papers
Floor-SP: Inverse CAD for Floorplans by Sequential Room-wise Shortest Path
Jiacheng Chen, Chen Liu, Jiaye Wu +1
This paper proposes a new approach for automated floorplan reconstruction from RGBD scans, a major milestone in indoor mapping research. The approach, dubbed Floor-SP, formulates a…
MASC: Multi-scale Affinity with Sparse Convolution for 3D Instance Segmentation
Chen Liu, Yasutaka Furukawa
We propose a new approach for 3D instance segmentation based on sparse convolution and point affinity prediction, which indicates the likelihood of two points belonging to the same…
PlaneRCNN: 3D Plane Detection and Reconstruction from a Single Image
Chen Liu, Kihwan Kim, Jinwei Gu +2
This paper proposes a deep neural architecture, PlaneRCNN, that detects and reconstructs piecewise planar surfaces from a single RGB image. PlaneRCNN employs a variant of Mask R-CN…
PlaneNet: Piece-wise Planar Reconstruction from a Single RGB Image
Chen Liu, Jimei Yang, Duygu Ceylan +2
This paper proposes a deep neural network (DNN) for piece-wise planar depthmap reconstruction from a single RGB image. While DNNs have brought remarkable progress to single-image d…
FloorNet: A Unified Framework for Floorplan Reconstruction from 3D Scans
Chen Liu, Jiaye Wu, Yasutaka Furukawa
The ultimate goal of this indoor mapping research is to automatically reconstruct a floorplan simply by walking through a house with a smartphone in a pocket. This paper tackles th…