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3D Gaussian Splatting as Markov Chain Monte Carlo
v1v2v3 (latest)

3D Gaussian Splatting as Markov Chain Monte Carlo

15 April 2024
Shakiba Kheradmand
Daniel Rebain
Gopal Sharma
Weiwei Sun
Jeff Tseng
Hossam N. Isack
Abhishek Kar
Andrea Tagliasacchi
Kwang Moo Yi
    3DGS
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Papers citing "3D Gaussian Splatting as Markov Chain Monte Carlo"

5 / 105 papers shown
The promises and pitfalls of Stochastic Gradient Langevin Dynamics
The promises and pitfalls of Stochastic Gradient Langevin DynamicsNeural Information Processing Systems (NeurIPS), 2018
N. Brosse
Alain Durmus
Eric Moulines
229
87
0
25 Nov 2018
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
2.4K
15,222
0
11 Jan 2018
How to Escape Saddle Points Efficiently
How to Escape Saddle Points Efficiently
Chi Jin
Rong Ge
Praneeth Netrapalli
Sham Kakade
Sai Li
ODL
390
892
0
02 Mar 2017
Adding Gradient Noise Improves Learning for Very Deep Networks
Adding Gradient Noise Improves Learning for Very Deep Networks
Arvind Neelakantan
Luke Vilnis
Quoc V. Le
Ilya Sutskever
Lukasz Kaiser
Karol Kurach
James Martens
AI4CEODL
264
570
0
21 Nov 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic OptimizationInternational Conference on Learning Representations (ICLR), 2014
Diederik P. Kingma
Jimmy Ba
ODL
4.7K
161,218
0
22 Dec 2014
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