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NeRF-MAE: Masked AutoEncoders for Self-Supervised 3D Representation
  Learning for Neural Radiance Fields

NeRF-MAE: Masked AutoEncoders for Self-Supervised 3D Representation Learning for Neural Radiance Fields

1 April 2024
Muhammad Zubair Irshad
Sergey Zakahrov
Vitor Campagnolo Guizilini
Adrien Gaidon
Z. Kira
Rares Ambrus
    ViT
ArXivPDFHTML

Papers citing "NeRF-MAE: Masked AutoEncoders for Self-Supervised 3D Representation Learning for Neural Radiance Fields"

14 / 14 papers shown
Title
SPA: 3D Spatial-Awareness Enables Effective Embodied Representation
SPA: 3D Spatial-Awareness Enables Effective Embodied Representation
Haoyi Zhu
Honghui Yang
Yating Wang
Jiange Yang
Limin Wang
Tong He
3DH
40
5
0
10 Oct 2024
Gaussian-Det: Learning Closed-Surface Gaussians for 3D Object Detection
Gaussian-Det: Learning Closed-Surface Gaussians for 3D Object Detection
Hongru Yan
Yu Zheng
Yueqi Duan
3DGS
46
2
0
02 Oct 2024
ReconFusion: 3D Reconstruction with Diffusion Priors
ReconFusion: 3D Reconstruction with Diffusion Priors
Rundi Wu
B. Mildenhall
Philipp Henzler
Keunhong Park
Ruiqi Gao
...
Pratul P. Srinivasan
Dor Verbin
Jonathan T. Barron
Ben Poole
Aleksander Holynski
76
168
0
05 Dec 2023
FSD: Fast Self-Supervised Single RGB-D to Categorical 3D Objects
FSD: Fast Self-Supervised Single RGB-D to Categorical 3D Objects
Mayank Lunayach
Sergey Zakharov
Dian Chen
Rares Ambrus
Z. Kira
Muhammad Zubair Irshad
3DPC
18
12
0
19 Oct 2023
PiMAE: Point Cloud and Image Interactive Masked Autoencoders for 3D
  Object Detection
PiMAE: Point Cloud and Image Interactive Masked Autoencoders for 3D Object Detection
Anthony Chen
Kevin Zhang
Renrui Zhang
Zihan Wang
Yuheng Lu
Yandong Guo
Shanghang Zhang
3DPC
55
59
0
14 Mar 2023
Point-M2AE: Multi-scale Masked Autoencoders for Hierarchical Point Cloud
  Pre-training
Point-M2AE: Multi-scale Masked Autoencoders for Hierarchical Point Cloud Pre-training
Renrui Zhang
Ziyu Guo
Rongyao Fang
Bingyan Zhao
Dong Wang
Yu Qiao
Hongsheng Li
Peng Gao
3DPC
156
241
0
28 May 2022
ShapeFormer: Transformer-based Shape Completion via Sparse
  Representation
ShapeFormer: Transformer-based Shape Completion via Sparse Representation
Xingguang Yan
Liqiang Lin
Niloy J. Mitra
Dani Lischinski
Daniel Cohen-Or
Hui Huang
ViT
53
110
0
25 Jan 2022
Dense Depth Priors for Neural Radiance Fields from Sparse Input Views
Dense Depth Priors for Neural Radiance Fields from Sparse Input Views
Barbara Roessle
Jonathan T. Barron
B. Mildenhall
Pratul P. Srinivasan
Matthias Nießner
VGen
114
352
0
06 Dec 2021
Masked Autoencoders Are Scalable Vision Learners
Masked Autoencoders Are Scalable Vision Learners
Kaiming He
Xinlei Chen
Saining Xie
Yanghao Li
Piotr Dollár
Ross B. Girshick
ViT
TPM
255
7,337
0
11 Nov 2021
Self-Supervised Pretraining of 3D Features on any Point-Cloud
Self-Supervised Pretraining of 3D Features on any Point-Cloud
Zaiwei Zhang
Rohit Girdhar
Armand Joulin
Ishan Misra
3DPC
109
235
0
07 Jan 2021
Neural Sparse Voxel Fields
Neural Sparse Voxel Fields
Lingjie Liu
Jiatao Gu
Kyaw Zaw Lin
Tat-Seng Chua
Christian Theobalt
177
1,234
0
22 Jul 2020
Convolutional Occupancy Networks
Convolutional Occupancy Networks
Songyou Peng
Michael Niemeyer
L. Mescheder
Marc Pollefeys
Andreas Geiger
3DV
AI4CE
206
860
0
10 Mar 2020
Feature Pyramid Networks for Object Detection
Feature Pyramid Networks for Object Detection
Tsung-Yi Lin
Piotr Dollár
Ross B. Girshick
Kaiming He
Bharath Hariharan
Serge J. Belongie
ObjD
154
3,574
0
09 Dec 2016
U-Net: Convolutional Networks for Biomedical Image Segmentation
U-Net: Convolutional Networks for Biomedical Image Segmentation
Olaf Ronneberger
Philipp Fischer
Thomas Brox
SSeg
3DV
226
74,467
0
18 May 2015
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