ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2402.06436
  4. Cited By
Improving 2D-3D Dense Correspondences with Diffusion Models for 6D
  Object Pose Estimation

Improving 2D-3D Dense Correspondences with Diffusion Models for 6D Object Pose Estimation

9 February 2024
Peter Honig
Stefan Thalhammer
Markus Vincze
    DiffM
ArXiv (abs)PDFHTML

Papers citing "Improving 2D-3D Dense Correspondences with Diffusion Models for 6D Object Pose Estimation"

1 / 1 papers shown
Title
BoxDreamer: Dreaming Box Corners for Generalizable Object Pose Estimation
BoxDreamer: Dreaming Box Corners for Generalizable Object Pose Estimation
Yuanhong Yu
Xingyi He He
Chen Zhao
Junhao Yu
Jiaqi Yang
Ruizhen Hu
Yujun Shen
Xing Zhu
Xiaowei Zhou
Sida Peng
96
1
0
10 Apr 2025
1