ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2010.10505
  4. Cited By
SDF-SRN: Learning Signed Distance 3D Object Reconstruction from Static
  Images

SDF-SRN: Learning Signed Distance 3D Object Reconstruction from Static Images

20 October 2020
Chen-Hsuan Lin
Chaoyang Wang
Simon Lucey
ArXivPDFHTML

Papers citing "SDF-SRN: Learning Signed Distance 3D Object Reconstruction from Static Images"

20 / 20 papers shown
Title
RayZer: A Self-supervised Large View Synthesis Model
RayZer: A Self-supervised Large View Synthesis Model
Hanwen Jiang
Hao Tan
Peng Wang
Haian Jin
Yue Zhao
...
Kai Zhang
Fujun Luan
Kalyan Sunkavalli
Qixing Huang
Georgios Pavlakos
65
0
0
01 May 2025
Fast Learning of Signed Distance Functions from Noisy Point Clouds via
  Noise to Noise Mapping
Fast Learning of Signed Distance Functions from Noisy Point Clouds via Noise to Noise Mapping
Junsheng Zhou
Baorui Ma
Yu-Shen Liu
Zhizhong Han
3DPC
44
9
0
04 Jul 2024
Neural Texture Puppeteer: A Framework for Neural Geometry and Texture
  Rendering of Articulated Shapes, Enabling Re-Identification at Interactive
  Speed
Neural Texture Puppeteer: A Framework for Neural Geometry and Texture Rendering of Articulated Shapes, Enabling Re-Identification at Interactive Speed
Urs Waldmann
O. Johannsen
Bastian Goldluecke
3DH
32
1
0
28 Nov 2023
CADSim: Robust and Scalable in-the-wild 3D Reconstruction for
  Controllable Sensor Simulation
CADSim: Robust and Scalable in-the-wild 3D Reconstruction for Controllable Sensor Simulation
Jingkang Wang
S. Manivasagam
Yun Chen
Ze Yang
Ioan Andrei Bârsan
A. Yang
Wei-Chiu Ma
R. Urtasun
3DV
35
24
0
02 Nov 2023
Learning Signed Distance Functions from Noisy 3D Point Clouds via Noise
  to Noise Mapping
Learning Signed Distance Functions from Noisy 3D Point Clouds via Noise to Noise Mapping
Baorui Ma
Yu-Shen Liu
Zhizhong Han
3DPC
26
23
0
02 Jun 2023
Pix2Repair: Implicit Shape Restoration from Images
Pix2Repair: Implicit Shape Restoration from Images
Xinchao Song
N. Lamb
Sean Banerjee
N. Banerjee
3DV
24
0
0
29 May 2023
ShapeClipper: Scalable 3D Shape Learning from Single-View Images via
  Geometric and CLIP-based Consistency
ShapeClipper: Scalable 3D Shape Learning from Single-View Images via Geometric and CLIP-based Consistency
Zixuan Huang
Varun Jampani
Anh Thai
Yuanzhen Li
Stefan Stojanov
James M. Rehg
3DV
27
18
0
13 Apr 2023
EFEM: Equivariant Neural Field Expectation Maximization for 3D Object
  Segmentation Without Scene Supervision
EFEM: Equivariant Neural Field Expectation Maximization for 3D Object Segmentation Without Scene Supervision
Jiahui Lei
Congyue Deng
Karl Schmeckpeper
Leonidas J. Guibas
Kostas Daniilidis
3DPC
24
21
0
27 Mar 2023
Unsupervised Inference of Signed Distance Functions from Single Sparse
  Point Clouds without Learning Priors
Unsupervised Inference of Signed Distance Functions from Single Sparse Point Clouds without Learning Priors
Chao Chen
Yu-Shen Liu
Zhizhong Han
3DPC
27
28
0
25 Mar 2023
DeepJoin: Learning a Joint Occupancy, Signed Distance, and Normal Field
  Function for Shape Repair
DeepJoin: Learning a Joint Occupancy, Signed Distance, and Normal Field Function for Shape Repair
N. Lamb
Sean Banerjee
N. Banerjee
3DV
38
7
0
22 Nov 2022
Label Distribution Learning via Implicit Distribution Representation
Label Distribution Learning via Implicit Distribution Representation
Zhuoran Zheng
Xiuyi Jia
22
7
0
28 Sep 2022
Recovering Detail in 3D Shapes Using Disparity Maps
Recovering Detail in 3D Shapes Using Disparity Maps
Marissa Ramirez de Chanlatte
Matheus Gadelha
Thibault Groueix
R. Měch
29
0
0
01 Jul 2022
3D-Aware Video Generation
3D-Aware Video Generation
Sherwin Bahmani
Jeong Joon Park
Despoina Paschalidou
H. Tang
Gordon Wetzstein
Leonidas J. Guibas
Luc Van Gool
Radu Timofte
32
20
0
29 Jun 2022
Pre-train, Self-train, Distill: A simple recipe for Supersizing 3D
  Reconstruction
Pre-train, Self-train, Distill: A simple recipe for Supersizing 3D Reconstruction
Kalyan Vasudev Alwala
Abhinav Gupta
Shubham Tulsiani
32
30
0
07 Apr 2022
Pix2NeRF: Unsupervised Conditional $π$-GAN for Single Image to Neural
  Radiance Fields Translation
Pix2NeRF: Unsupervised Conditional πππ-GAN for Single Image to Neural Radiance Fields Translation
Shengqu Cai
Anton Obukhov
Dengxin Dai
Luc Van Gool
24
99
0
26 Feb 2022
Neural Fields as Learnable Kernels for 3D Reconstruction
Neural Fields as Learnable Kernels for 3D Reconstruction
Francis Williams
Zan Gojcic
S. Khamis
Denis Zorin
Joan Bruna
Sanja Fidler
Or Litany
44
66
0
26 Nov 2021
Neural Fields in Visual Computing and Beyond
Neural Fields in Visual Computing and Beyond
Yiheng Xie
Towaki Takikawa
Shunsuke Saito
Or Litany
Shiqin Yan
Numair Khan
Federico Tombari
James Tompkin
Vincent Sitzmann
Srinath Sridhar
3DH
49
613
0
22 Nov 2021
FoV-NeRF: Foveated Neural Radiance Fields for Virtual Reality
FoV-NeRF: Foveated Neural Radiance Fields for Virtual Reality
Nianchen Deng
Zhenyi He
Jiannan Ye
Budmonde Duinkharjav
Praneeth Chakravarthula
Xubo Yang
Qi Sun
22
108
0
30 Mar 2021
INeRF: Inverting Neural Radiance Fields for Pose Estimation
INeRF: Inverting Neural Radiance Fields for Pose Estimation
Yen-Chen Lin
Peter R. Florence
Jonathan T. Barron
Alberto Rodriguez
Phillip Isola
Tsung-Yi Lin
50
447
0
10 Dec 2020
Learning Barrier Functions with Memory for Robust Safe Navigation
Learning Barrier Functions with Memory for Robust Safe Navigation
Kehan Long
Cheng Qian
Jorge Cortés
Nikolay A. Atanasov
17
52
0
03 Nov 2020
1