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. 2402.08138
  4. Cited By
H2O-SDF: Two-phase Learning for 3D Indoor Reconstruction using Object
  Surface Fields

H2O-SDF: Two-phase Learning for 3D Indoor Reconstruction using Object Surface Fields

13 February 2024
Minyoung Park
Mirae Do
YeonJae Shin
Jaeseok Yoo
Jongkwang Hong
Joongrock Kim
Chul Lee
ArXivPDFHTML

Papers citing "H2O-SDF: Two-phase Learning for 3D Indoor Reconstruction using Object Surface Fields"

4 / 4 papers shown
Title
FreBIS: Frequency-Based Stratification for Neural Implicit Surface Representations
FreBIS: Frequency-Based Stratification for Neural Implicit Surface Representations
Naoko Sawada
Pedro Miraldo
Suhas Lohit
Tim K. Marks
Moitreya Chatterjee
43
0
0
28 Apr 2025
MonoInstance: Enhancing Monocular Priors via Multi-view Instance Alignment for Neural Rendering and Reconstruction
MonoInstance: Enhancing Monocular Priors via Multi-view Instance Alignment for Neural Rendering and Reconstruction
Wenyuan Zhang
Yixiao Yang
Han Huang
Liang Han
Kanle Shi
Yu-Shen Liu
Zhizhong Han
MDE
55
3
0
24 Mar 2025
ND-SDF: Learning Normal Deflection Fields for High-Fidelity Indoor Reconstruction
ND-SDF: Learning Normal Deflection Fields for High-Fidelity Indoor Reconstruction
Ziyu Tang
Weicai Ye
Yifan Wang
Di Huang
Hujun Bao
Tong He
Guofeng Zhang
AI4CE
33
7
0
22 Aug 2024
Geo-Neus: Geometry-Consistent Neural Implicit Surfaces Learning for
  Multi-view Reconstruction
Geo-Neus: Geometry-Consistent Neural Implicit Surfaces Learning for Multi-view Reconstruction
Qiancheng Fu
Qingshan Xu
Yew-Soon Ong
Wenbing Tao
3DV
73
202
0
31 May 2022
1