ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Join Slack
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2412.13547
  4. Cited By
Turbo-GS: Accelerating 3D Gaussian Fitting for High-Quality Radiance Fields
v1v2 (latest)

Turbo-GS: Accelerating 3D Gaussian Fitting for High-Quality Radiance Fields

18 December 2024
Tao Lu
Ankit Dhiman
R. Srinath
Emre Arslan
Angela Xing
Yuanbo Xiangli
R. V. Babu
Srinath Sridhar
    3DGS
ArXiv (abs)PDFHTML

Papers citing "Turbo-GS: Accelerating 3D Gaussian Fitting for High-Quality Radiance Fields"

4 / 4 papers shown
Title
Fix False Transparency by Noise Guided Splatting
Fix False Transparency by Noise Guided Splatting
Aly El Hakie
Yiren Lu
Yu Yin
Michael W. Jenkins
Yehe Liu
163
0
0
17 Oct 2025
ContraGS: Codebook-Condensed and Trainable Gaussian Splatting for Fast, Memory-Efficient Reconstruction
ContraGS: Codebook-Condensed and Trainable Gaussian Splatting for Fast, Memory-Efficient Reconstruction
Sankeerth Durvasula
Sharanshangar Muhunthan
Zain Moustafa
Richard Chen
Ruofan Liang
Yushi Guan
Nilesh Ahuja
Nilesh Jain
Selvakumar Panneer
Nandita Vijaykumar
3DGS
108
1
0
03 Sep 2025
iLRM: An Iterative Large 3D Reconstruction Model
iLRM: An Iterative Large 3D Reconstruction Model
Gyeongjin Kang
Seungtae Nam
Xiangyu Sun
Sameh Khamis
Abdelrahman Mohamed
Eunbyung Park
Eunbyung Park
3DV3DGS
160
2
0
31 Jul 2025
3DGS-LM: Faster Gaussian-Splatting Optimization with Levenberg-Marquardt
3DGS-LM: Faster Gaussian-Splatting Optimization with Levenberg-Marquardt
Lukas Höllein
Aljaz Bozic
Michael Zollhöfer
Matthias Nießner
3DGS
264
26
0
19 Sep 2024
1