1 citations · 1 across the 3 of their papers we have counts for
5 papers
Understanding 3D Object Articulation in Internet Videos
Shengyi Qian, Linyi Jin, Chris Rockwell +2
We propose to investigate detecting and characterizing the 3D planar articulation of objects from ordinary videos. While seemingly easy for humans, this problem poses many challeng…
Planar Surface Reconstruction from Sparse Views
Linyi Jin, Shengyi Qian, Andrew Owens +1
The paper studies planar surface reconstruction of indoor scenes from two views with unknown camera poses. While prior approaches have successfully created object-centric reconstru…
Associative3D: Volumetric Reconstruction from Sparse Views
Shengyi Qian, Linyi Jin, David F. Fouhey
This paper studies the problem of 3D volumetric reconstruction from two views of a scene with an unknown camera. While seemingly easy for humans, this problem poses many challenges…
OASIS: A Large-Scale Dataset for Single Image 3D in the Wild
Weifeng Chen, Shengyi Qian, David Fan +3
Single-view 3D is the task of recovering 3D properties such as depth and surface normals from a single image. We hypothesize that a major obstacle to single-image 3D is data. We ad…
Learning Single-Image Depth from Videos using Quality Assessment Networks
Weifeng Chen, Shengyi Qian, Jia Deng
Depth estimation from a single image in the wild remains a challenging problem. One main obstacle is the lack of high-quality training data for images in the wild. In this paper we…