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RetinaGS: Scalable Training for Dense Scene Rendering with Billion-Scale
  3D Gaussians

RetinaGS: Scalable Training for Dense Scene Rendering with Billion-Scale 3D Gaussians

17 June 2024
Bingling Li
Shengyi Chen
Luchao Wang
Kaimin Liao
Sijie Yan
Yuanjun Xiong
    3DGS
ArXivPDFHTML

Papers citing "RetinaGS: Scalable Training for Dense Scene Rendering with Billion-Scale 3D Gaussians"

4 / 4 papers shown
Title
Balanced 3DGS: Gaussian-wise Parallelism Rendering with Fine-Grained Tiling
Balanced 3DGS: Gaussian-wise Parallelism Rendering with Fine-Grained Tiling
Hao Gui
Lin Hu
Rui Chen
Mingxiao Huang
Yuxin Yin
...
Yong Wu
Chen Liu
Zhongxu Sun
X. Zhang
Kun Zhan
3DGS
75
2
0
23 Dec 2024
CityGaussian: Real-time High-quality Large-Scale Scene Rendering with
  Gaussians
CityGaussian: Real-time High-quality Large-Scale Scene Rendering with Gaussians
Yang Liu
He Guan
Chuanchen Luo
Lue Fan
Naiyan Wang
Junran Peng
Zhaoxiang Zhang
3DGS
42
72
0
01 Apr 2024
Efficient Large-scale Scene Representation with a Hybrid of
  High-resolution Grid and Plane Features
Efficient Large-scale Scene Representation with a Hybrid of High-resolution Grid and Plane Features
Yuqi Zhang
Guanying Chen
Shuguang Cui
29
31
0
06 Mar 2023
Megatron-LM: Training Multi-Billion Parameter Language Models Using
  Model Parallelism
Megatron-LM: Training Multi-Billion Parameter Language Models Using Model Parallelism
M. Shoeybi
M. Patwary
Raul Puri
P. LeGresley
Jared Casper
Bryan Catanzaro
MoE
243
1,791
0
17 Sep 2019
1