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TiAVox: Time-aware Attenuation Voxels for Sparse-view 4D DSA
  Reconstruction
v1v2 (latest)

TiAVox: Time-aware Attenuation Voxels for Sparse-view 4D DSA Reconstruction

5 September 2023
Zhenghong Zhou
Huangxuan Zhao
Jiemin Fang
D. Xiang
Lei Chen
Lingxia Wu
Feihong Wu
Wenyu Liu
Chuansheng Zheng
Xinggang Wang
ArXiv (abs)PDFHTML

Papers citing "TiAVox: Time-aware Attenuation Voxels for Sparse-view 4D DSA Reconstruction"

34 / 34 papers shown
Title
Tri-MipRF: Tri-Mip Representation for Efficient Anti-Aliasing Neural
  Radiance Fields
Tri-MipRF: Tri-Mip Representation for Efficient Anti-Aliasing Neural Radiance Fields
Wenbo Hu
Yuling Wang
Lin Ma
Bangbang Yang
Lin Gao
Xiao Liu
Yuewen Ma
70
128
0
21 Jul 2023
Neural LerPlane Representations for Fast 4D Reconstruction of Deformable
  Tissues
Neural LerPlane Representations for Fast 4D Reconstruction of Deformable Tissues
Chen Yang
Kai Wang
Yuehao Wang
Xiaokang Yang
Wei Shen
58
41
0
31 May 2023
ConsistentNeRF: Enhancing Neural Radiance Fields with 3D Consistency for
  Sparse View Synthesis
ConsistentNeRF: Enhancing Neural Radiance Fields with 3D Consistency for Sparse View Synthesis
Shou-Yong Hu
Kaichen Zhou
Kaiyu Li
L. Yu
Lanqing Hong
Tianyang Hu
Zhenguo Li
G. Lee
Ziwei Liu
94
18
0
18 May 2023
ViP-NeRF: Visibility Prior for Sparse Input Neural Radiance Fields
ViP-NeRF: Visibility Prior for Sparse Input Neural Radiance Fields
Nagabhushan Somraj
R. Soundararajan
75
47
0
28 Apr 2023
Learning Deep Intensity Field for Extremely Sparse-View CBCT
  Reconstruction
Learning Deep Intensity Field for Extremely Sparse-View CBCT Reconstruction
Yiqun Lin
Zhongjin Luo
Wei Zhao
Xuelong Li
58
33
0
12 Mar 2023
Temporal Interpolation Is All You Need for Dynamic Neural Radiance
  Fields
Temporal Interpolation Is All You Need for Dynamic Neural Radiance Fields
Sungheon Park
Minjung Son
Seokhwan Jang
Young Chun Ahn
Ji-Yeon Kim
Nahyup Kang
3DHAI4CE
59
49
0
18 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
128
583
0
24 Jan 2023
HexPlane: A Fast Representation for Dynamic Scenes
HexPlane: A Fast Representation for Dynamic Scenes
Ang Cao
Justin Johnson
106
453
0
23 Jan 2023
SNAF: Sparse-view CBCT Reconstruction with Neural Attenuation Fields
SNAF: Sparse-view CBCT Reconstruction with Neural Attenuation Fields
Yu Fang
Lanzhuju Mei
Changjian Li
Yuan Liu
Wenping Wang
Zhiming Cui
Dinggang Shen
47
25
0
30 Nov 2022
Tensor4D : Efficient Neural 4D Decomposition for High-fidelity Dynamic
  Reconstruction and Rendering
Tensor4D : Efficient Neural 4D Decomposition for High-fidelity Dynamic Reconstruction and Rendering
Ruizhi Shao
Zerong Zheng
Hanzhang Tu
Boning Liu
Hongwen Zhang
Yebin Liu
97
184
0
21 Nov 2022
NeRFPlayer: A Streamable Dynamic Scene Representation with Decomposed
  Neural Radiance Fields
NeRFPlayer: A Streamable Dynamic Scene Representation with Decomposed Neural Radiance Fields
Liangchen Song
Anpei Chen
Zhong Li
Zhaoyu Chen
Lele Chen
Junsong Yuan
Yi Tian Xu
Andreas Geiger
160
137
0
28 Oct 2022
NAF: Neural Attenuation Fields for Sparse-View CBCT Reconstruction
NAF: Neural Attenuation Fields for Sparse-View CBCT Reconstruction
Ruyi Zha
Yanhao Zhang
Hongdong Li
56
92
0
29 Sep 2022
Self-Supervised Coordinate Projection Network for Sparse-View Computed
  Tomography
Self-Supervised Coordinate Projection Network for Sparse-View Computed Tomography
Qing Wu
Rui-jun Feng
Hongjiang Wei
Jing-xin Yu
Yuyao Zhang
78
44
0
12 Sep 2022
Voxurf: Voxel-based Efficient and Accurate Neural Surface Reconstruction
Voxurf: Voxel-based Efficient and Accurate Neural Surface Reconstruction
Tong Wu
Jiaqi Wang
Xingang Pan
Xudong Xu
Christian Theobalt
Ziwei Liu
Dahua Lin
73
101
0
26 Aug 2022
Going Off-Grid: Continuous Implicit Neural Representations for 3D
  Vascular Modeling
Going Off-Grid: Continuous Implicit Neural Representations for 3D Vascular Modeling
Dieuwertje Alblas
Christoph Brune
K. K. Yeung
J. Wolterink
AI4CE
46
21
0
29 Jul 2022
Neural Surface Reconstruction of Dynamic Scenes with Monocular RGB-D
  Camera
Neural Surface Reconstruction of Dynamic Scenes with Monocular RGB-D Camera
Hongrui Cai
Wanquan Feng
Xuetao Feng
Yan Wang
Juyong Zhang
3DH
72
64
0
30 Jun 2022
Neural Rendering for Stereo 3D Reconstruction of Deformable Tissues in
  Robotic Surgery
Neural Rendering for Stereo 3D Reconstruction of Deformable Tissues in Robotic Surgery
Yuehao Wang
Yonghao Long
Siu Hin Fan
Qingxu Dou
MedIm
79
127
0
30 Jun 2022
Fast Dynamic Radiance Fields with Time-Aware Neural Voxels
Fast Dynamic Radiance Fields with Time-Aware Neural Voxels
Jiemin Fang
Taoran Yi
Xinggang Wang
Lingxi Xie
Xiaopeng Zhang
Wenyu Liu
Matthias Nießner
Qi Tian
VGen
185
305
0
30 May 2022
TensoRF: Tensorial Radiance Fields
TensoRF: Tensorial Radiance Fields
Anpei Chen
Zexiang Xu
Andreas Geiger
Jingyi Yu
Hao Su
109
1,310
0
17 Mar 2022
NeAT: Neural Adaptive Tomography
NeAT: Neural Adaptive Tomography
Darius Ruckert
Yuanhao Wang
Rui Li
R. Idoughi
Wolfgang Heidrich
44
21
0
04 Feb 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
275
1,662
0
09 Dec 2021
RegNeRF: Regularizing Neural Radiance Fields for View Synthesis from
  Sparse Inputs
RegNeRF: Regularizing Neural Radiance Fields for View Synthesis from Sparse Inputs
Michael Niemeyer
Jonathan T. Barron
B. Mildenhall
Mehdi S. M. Sajjadi
Andreas Geiger
Noha Radwan
133
598
0
01 Dec 2021
Direct Voxel Grid Optimization: Super-fast Convergence for Radiance
  Fields Reconstruction
Direct Voxel Grid Optimization: Super-fast Convergence for Radiance Fields Reconstruction
Cheng Sun
Min Sun
Hwann-Tzong Chen
128
1,079
0
22 Nov 2021
NeRP: Implicit Neural Representation Learning with Prior Embedding for
  Sparsely Sampled Image Reconstruction
NeRP: Implicit Neural Representation Learning with Prior Embedding for Sparsely Sampled Image Reconstruction
Liyue Shen
John M. Pauly
Lei Xing
69
202
0
24 Aug 2021
D-NeRF: Neural Radiance Fields for Dynamic Scenes
D-NeRF: Neural Radiance Fields for Dynamic Scenes
Albert Pumarola
Enric Corona
Gerard Pons-Moll
Francesc Moreno-Noguer
119
1,446
0
27 Nov 2020
Neural Sparse Voxel Fields
Neural Sparse Voxel Fields
Lingjie Liu
Jiatao Gu
Kyaw Zaw Lin
Tat-Seng Chua
Christian Theobalt
266
1,276
0
22 Jul 2020
NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis
NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis
B. Mildenhall
Pratul P. Srinivasan
Matthew Tancik
Jonathan T. Barron
R. Ramamoorthi
Ren Ng
129
2,592
0
19 Mar 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
523
42,559
0
03 Dec 2019
3D Convolutional Encoder-Decoder Network for Low-Dose CT via Transfer
  Learning from a 2D Trained Network
3D Convolutional Encoder-Decoder Network for Low-Dose CT via Transfer Learning from a 2D Trained Network
Hongming Shan
Yi Zhang
Qingsong Yang
Uwe Krüger
Mannudeep K. Kalra
Ling Sun
W. Cong
Ge Wang
MedIm
59
349
0
15 Feb 2018
Framing U-Net via Deep Convolutional Framelets: Application to
  Sparse-view CT
Framing U-Net via Deep Convolutional Framelets: Application to Sparse-view CT
Yoseob Han
J. C. Ye
72
519
0
28 Aug 2017
Image reconstruction by domain transform manifold learning
Image reconstruction by domain transform manifold learning
Bo Zhu
Jeremiah Zhe Liu
Bruce Rosen
Matthew S. Rosen
94
1,534
0
28 Apr 2017
Deep Convolutional Neural Network for Inverse Problems in Imaging
Deep Convolutional Neural Network for Inverse Problems in Imaging
Kyong Hwan Jin
Michael T. McCann
Emmanuel Froustey
M. Unser
71
2,122
0
11 Nov 2016
U-Net: Convolutional Networks for Biomedical Image Segmentation
U-Net: Convolutional Networks for Biomedical Image Segmentation
Olaf Ronneberger
Philipp Fischer
Thomas Brox
SSeg3DV
1.8K
77,341
0
18 May 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
2.0K
150,260
0
22 Dec 2014
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