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Radiance Fields from Photons

Radiance Fields from Photons

12 July 2024
Sacha Jungerman
Mohit Gupta
ArXivPDFHTML

Papers citing "Radiance Fields from Photons"

18 / 18 papers shown
Title
SGD: Street View Synthesis with Gaussian Splatting and Diffusion Prior
SGD: Street View Synthesis with Gaussian Splatting and Diffusion Prior
Zhongrui Yu
Haoran Wang
Jinze Yang
Hanzhang Wang
Zeke Xie
Yunfeng Cai
Jiale Cao
Zhong Ji
Mingming Sun
3DGS
63
19
0
29 Mar 2024
SMERF: Streamable Memory Efficient Radiance Fields for Real-Time
  Large-Scene Exploration
SMERF: Streamable Memory Efficient Radiance Fields for Real-Time Large-Scene Exploration
Daniel Duckworth
Peter Hedman
Christian Reiser
Peter Zhizhin
Jean-François Thibert
Mario Lucic
Richard Szeliski
Jonathan T. Barron
3DGS
41
53
0
12 Dec 2023
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
297
4,009
0
16 Jan 2022
Deblur-NeRF: Neural Radiance Fields from Blurry Images
Deblur-NeRF: Neural Radiance Fields from Blurry Images
Li Ma
Xiaoyu Li
Jing Liao
Qi Zhang
Xuan Wang
Jue Wang
Pedro Sander
54
188
0
29 Nov 2021
Point-Based Neural Rendering with Per-View Optimization
Point-Based Neural Rendering with Per-View Optimization
Georgios Kopanas
Julien Philip
Thomas Leimkuhler
G. Drettakis
70
208
0
06 Sep 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
84
1,725
0
20 Jun 2021
PlenOctrees for Real-time Rendering of Neural Radiance Fields
PlenOctrees for Real-time Rendering of Neural Radiance Fields
Alex Yu
Ruilong Li
Matthew Tancik
Hao Li
Ren Ng
Angjoo Kanazawa
86
1,072
0
25 Mar 2021
Mip-NeRF: A Multiscale Representation for Anti-Aliasing Neural Radiance
  Fields
Mip-NeRF: A Multiscale Representation for Anti-Aliasing Neural Radiance Fields
Jonathan T. Barron
B. Mildenhall
Matthew Tancik
Peter Hedman
Ricardo Martín Brualla
Pratul P. Srinivasan
98
1,971
0
24 Mar 2021
FastNeRF: High-Fidelity Neural Rendering at 200FPS
FastNeRF: High-Fidelity Neural Rendering at 200FPS
Stephan J. Garbin
Marek Kowalski
Matthew W. Johnson
Jamie Shotton
Julien P. C. Valentin
80
645
0
18 Mar 2021
pixelNeRF: Neural Radiance Fields from One or Few Images
pixelNeRF: Neural Radiance Fields from One or Few Images
Alex Yu
Vickie Ye
Matthew Tancik
Angjoo Kanazawa
171
1,736
0
03 Dec 2020
Practical Deep Raw Image Denoising on Mobile Devices
Practical Deep Raw Image Denoising on Mobile Devices
Yuzhi Wang
Haibin Huang
Qin Xu
Jiaming Liu
Yiqun Liu
Jue Wang
73
106
0
14 Oct 2020
PyTorch: An Imperative Style, High-Performance Deep Learning Library
PyTorch: An Imperative Style, High-Performance Deep Learning Library
Adam Paszke
Sam Gross
Francisco Massa
Adam Lerer
James Bradbury
...
Sasank Chilamkurthy
Benoit Steiner
Lu Fang
Junjie Bai
Soumith Chintala
ODL
439
42,393
0
03 Dec 2019
Handheld Mobile Photography in Very Low Light
Handheld Mobile Photography in Very Low Light
O. Liba
K. Murthy
Yun-Ta Tsai
Tim Brooks
Tianfan Xue
...
Dillon Sharlet
Ryan Geiss
Samuel W. Hasinoff
Yael Pritch
M. Levoy
112
112
0
24 Oct 2019
High Flux Passive Imaging with Single-Photon Sensors
High Flux Passive Imaging with Single-Photon Sensors
Atul Ingle
Andreas Velten
Mohit Gupta
27
59
0
26 Feb 2019
On the Continuity of Rotation Representations in Neural Networks
On the Continuity of Rotation Representations in Neural Networks
Yi Zhou
Connelly Barnes
Jingwan Lu
Jimei Yang
Hao Li
3DH
62
1,285
0
17 Dec 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
350
11,784
0
11 Jan 2018
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
1.7K
150,006
0
22 Dec 2014
Very Deep Convolutional Networks for Large-Scale Image Recognition
Very Deep Convolutional Networks for Large-Scale Image Recognition
Karen Simonyan
Andrew Zisserman
FAtt
MDE
1.6K
100,330
0
04 Sep 2014
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