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ProtoGS: Efficient and High-Quality Rendering with 3D Gaussian Prototypes
v1v2v3 (latest)

ProtoGS: Efficient and High-Quality Rendering with 3D Gaussian Prototypes

21 March 2025
Zhengqing Gao
Dongting Hu
Jia-Wang Bian
Huan Fu
Yongqian Li
Tongliang Liu
Mingming Gong
Kai Zhang
    3DGS
ArXiv (abs)PDFHTML

Papers citing "ProtoGS: Efficient and High-Quality Rendering with 3D Gaussian Prototypes"

29 / 29 papers shown
Title
Reducing the Memory Footprint of 3D Gaussian Splatting
Reducing the Memory Footprint of 3D Gaussian Splatting
Panagiotis Papantonakis
Georgios Kopanas
Bernhard Kerbl
Alexandre Lanvin
G. Drettakis
3DGS
84
68
0
24 Jun 2024
ContextGS: Compact 3D Gaussian Splatting with Anchor Level Context Model
ContextGS: Compact 3D Gaussian Splatting with Anchor Level Context Model
Yufei Wang
Zhihao Li
Lanqing Guo
Wenhan Yang
A.C. Kot
Bihan Wen
3DGS
93
32
0
31 May 2024
Octree-GS: Towards Consistent Real-time Rendering with LOD-Structured 3D
  Gaussians
Octree-GS: Towards Consistent Real-time Rendering with LOD-Structured 3D Gaussians
Kerui Ren
Lihan Jiang
Tao Lu
Mulin Yu
Linning Xu
Zhangkai Ni
Bo Dai
3DGS
115
90
0
26 Mar 2024
Compact 3D Scene Representation via Self-Organizing Gaussian Grids
Compact 3D Scene Representation via Self-Organizing Gaussian Grids
W. Morgenstern
Florian Barthel
Anna Hilsmann
Peter Eisert
3DGS
94
81
0
19 Dec 2023
EAGLES: Efficient Accelerated 3D Gaussians with Lightweight EncodingS
EAGLES: Efficient Accelerated 3D Gaussians with Lightweight EncodingS
Sharath Girish
Kamal Gupta
Abhinav Shrivastava
3DGS
81
92
0
07 Dec 2023
Scaffold-GS: Structured 3D Gaussians for View-Adaptive Rendering
Scaffold-GS: Structured 3D Gaussians for View-Adaptive Rendering
Tao Lu
Mulin Yu
Linning Xu
Yuanbo Xiangli
Limin Wang
Dahua Lin
Bo Dai
3DGS
99
303
0
30 Nov 2023
LightGaussian: Unbounded 3D Gaussian Compression with 15x Reduction and
  200+ FPS
LightGaussian: Unbounded 3D Gaussian Compression with 15x Reduction and 200+ FPS
Zhiwen Fan
Kevin Wang
Kairun Wen
Zehao Zhu
Dejia Xu
Zhangyang Wang
3DGS
112
221
0
28 Nov 2023
Compact 3D Gaussian Representation for Radiance Field
Compact 3D Gaussian Representation for Radiance Field
J. Lee
Daniel Rho
Xiangyu Sun
Jong Hwan Ko
Eunbyung Park
3DGS
101
203
0
22 Nov 2023
Compressed 3D Gaussian Splatting for Accelerated Novel View Synthesis
Compressed 3D Gaussian Splatting for Accelerated Novel View Synthesis
Simon Niedermayr
Josef Stumpfegger
Rüdiger Westermann
3DGS
95
120
0
17 Nov 2023
3D Gaussian Splatting for Real-Time Radiance Field Rendering
3D Gaussian Splatting for Real-Time Radiance Field Rendering
Bernhard Kerbl
Georgios Kopanas
Thomas Leimkuehler
G. Drettakis
3DGS
265
3,802
0
08 Aug 2023
Factor Fields: A Unified Framework for Neural Fields and Beyond
Factor Fields: A Unified Framework for Neural Fields and Beyond
Anpei Chen
Zexiang Xu
Xinyue Wei
Siyu Tang
Hao Su
Andreas Geiger
120
59
0
02 Feb 2023
K-Planes: Explicit Radiance Fields in Space, Time, and Appearance
K-Planes: Explicit Radiance Fields in Space, Time, and Appearance
Sara Fridovich-Keil
Giacomo Meanti
Frederik Warburg
Benjamin Recht
Angjoo Kanazawa
VGen
134
584
0
24 Jan 2023
Masked Wavelet Representation for Compact Neural Radiance Fields
Masked Wavelet Representation for Compact Neural Radiance Fields
Daniel Rho
Byeonghyeon Lee
Seungtae Nam
J. Lee
J. Ko
Eunbyung Park
97
53
0
18 Dec 2022
TensoRF: Tensorial Radiance Fields
TensoRF: Tensorial Radiance Fields
Anpei Chen
Zexiang Xu
Andreas Geiger
Jingyi Yu
Hao Su
114
1,314
0
17 Mar 2022
Recovering 3D Human Mesh from Monocular Images: A Survey
Recovering 3D Human Mesh from Monocular Images: A Survey
Yating Tian
Hongwen Zhang
Yebin Liu
Limin Wang
3DH
159
132
0
03 Mar 2022
Point-NeRF: Point-based Neural Radiance Fields
Point-NeRF: Point-based Neural Radiance Fields
Qiangeng Xu
Zexiang Xu
Julien Philip
Sai Bi
Zhixin Shu
Kalyan Sunkavalli
Ulrich Neumann
3DPC
125
583
0
21 Jan 2022
Instant Neural Graphics Primitives with a Multiresolution Hash Encoding
Instant Neural Graphics Primitives with a Multiresolution Hash Encoding
Thomas Müller
Alex Evans
Christoph Schied
A. Keller
347
4,054
0
16 Jan 2022
Plenoxels: Radiance Fields without Neural Networks
Plenoxels: Radiance Fields without Neural Networks
Alex Yu
Sara Fridovich-Keil
Matthew Tancik
Qinhong Chen
Benjamin Recht
Angjoo Kanazawa
280
1,665
0
09 Dec 2021
Mip-NeRF 360: Unbounded Anti-Aliased Neural Radiance Fields
Mip-NeRF 360: Unbounded Anti-Aliased Neural Radiance Fields
Jonathan T. Barron
B. Mildenhall
Dor Verbin
Pratul P. Srinivasan
Peter Hedman
223
1,696
0
23 Nov 2021
Depth-supervised NeRF: Fewer Views and Faster Training for Free
Depth-supervised NeRF: Fewer Views and Faster Training for Free
Kangle Deng
Andrew Liu
Jun-Yan Zhu
Deva Ramanan
217
891
0
06 Jul 2021
Volume Rendering of Neural Implicit Surfaces
Volume Rendering of Neural Implicit Surfaces
Lior Yariv
Jiatao Gu
Yoni Kasten
Y. Lipman
3DV
117
1,049
0
22 Jun 2021
NeuS: Learning Neural Implicit Surfaces by Volume Rendering for
  Multi-view Reconstruction
NeuS: Learning Neural Implicit Surfaces by Volume Rendering for Multi-view Reconstruction
Peng Wang
Lingjie Liu
Yuan Liu
Christian Theobalt
Taku Komura
Wenping Wang
125
1,739
0
20 Jun 2021
UNISURF: Unifying Neural Implicit Surfaces and Radiance Fields for
  Multi-View Reconstruction
UNISURF: Unifying Neural Implicit Surfaces and Radiance Fields for Multi-View Reconstruction
Michael Oechsle
Songyou Peng
Andreas Geiger
111
752
0
20 Apr 2021
KiloNeRF: Speeding up Neural Radiance Fields with Thousands of Tiny MLPs
KiloNeRF: Speeding up Neural Radiance Fields with Thousands of Tiny MLPs
Christian Reiser
Songyou Peng
Yiyi Liao
Andreas Geiger
55
825
0
25 Mar 2021
SynSin: End-to-end View Synthesis from a Single Image
SynSin: End-to-end View Synthesis from a Single Image
Olivia Wiles
Georgia Gkioxari
Richard Szeliski
Justin Johnson
3DV
103
473
0
18 Dec 2019
DeepSDF: Learning Continuous Signed Distance Functions for Shape
  Representation
DeepSDF: Learning Continuous Signed Distance Functions for Shape Representation
Jeong Joon Park
Peter R. Florence
Julian Straub
Richard Newcombe
S. Lovegrove
3DV
133
3,709
0
16 Jan 2019
The Unreasonable Effectiveness of Deep Features as a Perceptual Metric
The Unreasonable Effectiveness of Deep Features as a Perceptual Metric
Richard Y. Zhang
Phillip Isola
Alexei A. Efros
Eli Shechtman
Oliver Wang
EGVM
384
11,938
0
11 Jan 2018
Neural Discrete Representation Learning
Neural Discrete Representation Learning
Aaron van den Oord
Oriol Vinyals
Koray Kavukcuoglu
BDLSSLOCL
253
5,082
0
02 Nov 2017
3D-R2N2: A Unified Approach for Single and Multi-view 3D Object
  Reconstruction
3D-R2N2: A Unified Approach for Single and Multi-view 3D Object Reconstruction
Chris Choy
Danfei Xu
JunYoung Gwak
Kevin Chen
Silvio Savarese
3DV
95
1,720
0
02 Apr 2016
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