A Real World Dataset for Multi-view 3D Reconstruction

no code implementations • 22 Mar 2022 • Rakesh Shrestha, Siqi Hu, Minghao Gou, Ziyuan Liu, Ping Tan

We present a dataset of 998 3D models of everyday tabletop objects along with their 847, 000 real world RGB and depth images.

3D Reconstruction Multi-View 3D Reconstruction +3

SceneSqueezer: Learning To Compress Scene for Camera Relocalization

no code implementations • CVPR 2022 • Luwei Yang, Rakesh Shrestha, Wenbo Li, Shuaicheng Liu, Guofeng Zhang, Zhaopeng Cui, Ping Tan

Standard visual localization methods build a priori 3D model of a scene which is used to establish correspondences against the 2D keypoints in a query image.

Camera Relocalization Image Registration +3

MeshMVS: Multi-View Stereo Guided Mesh Reconstruction

no code implementations • 17 Oct 2020 • Rakesh Shrestha, Zhiwen Fan, Qingkun Su, Zuozhuo Dai, Siyu Zhu, Ping Tan

Deep learning based 3D shape generation methods generally utilize latent features extracted from color images to encode the semantics of objects and guide the shape generation process.

3D Shape Generation