Method: GDRNPP-PBRReal-RGBD-MModel

User zyMeteroid
Publication Not yet
Implementation Pytorch, code can be found at
Training image modalities RGB-D
Test image modalities RGB-D

GDRNPP for BOP2022

Authors: Xingyu Liu, Ruida Zhang, Chenyangguang Zhang, Bowen Fu, Jiwen Tang, Xiquan Liang, Jingyi Tang, Xiaotian Cheng, Yukang Zhang, Gu Wang, and Xiangyang Ji (Tsinghua University).

Based on GDPNPP_PBRReal_RGB_MModel, we utilize depth information to further refine the estimated pose. We adopt depth refinement inspired by Coupled Iterative Refinement.

Computer specifications GPU RTX 3090; CPU AMD EPYC 7H12 64-Core Processor.

Public submissions

Date Submission name Dataset
2022-10-12 04:11 - TUD-L
2022-10-13 02:23 - T-LESS
2022-10-14 06:56 - YCB-V
2022-10-14 06:57 - LM-O
2022-10-14 06:58 - IC-BIN
2022-10-14 06:59 - HB
2022-10-15 11:52 - ITODD