1st Place Solution for ICCV 2023 OmniObject3D Challenge: Sparse-View Reconstruction

no code implementations • 16 Apr 2024 • Hang Du, Yaping Xue, Weidong Dai, Xuejun Yan, Jingjing Wang

In this report, we present the 1st place solution for ICCV 2023 OmniObject3D Challenge: Sparse-View Reconstruction.

Novel View Synthesis Surface Reconstruction

Arbitrary-Scale Point Cloud Upsampling by Voxel-Based Network with Latent Geometric-Consistent Learning

1 code implementation • 8 Mar 2024 • Hang Du, Xuejun Yan, Jingjing Wang, Di Xie, ShiLiang Pu

Recently, arbitrary-scale point cloud upsampling mechanism became increasingly popular due to its efficiency and convenience for practical applications.

point cloud upsampling

Rethinking the Approximation Error in 3D Surface Fitting for Point Cloud Normal Estimation

1 code implementation • CVPR 2023 • Hang Du, Xuejun Yan, Jingjing Wang, Di Xie, ShiLiang Pu

Most existing approaches for point cloud normal estimation aim to locally fit a geometric surface and calculate the normal from the fitted surface.

FBNet: Feedback Network for Point Cloud Completion

1 code implementation • 8 Oct 2022 • Xuejun Yan, Hongyu Yan, Jingjing Wang, Hang Du, Zhihong Wu, Di Xie, ShiLiang Pu, Li Lu

The rapid development of point cloud learning has driven point cloud completion into a new era.

Point Cloud Completion

Point Cloud Upsampling via Cascaded Refinement Network

1 code implementation • 8 Oct 2022 • Hang Du, Xuejun Yan, Jingjing Wang, Di Xie, ShiLiang Pu

In this manner, the proposed cascaded refinement network can be easily optimized without extra learning strategies.

point cloud upsampling