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. 2207.11368
  4. Cited By
Neural-Sim: Learning to Generate Training Data with NeRF

Neural-Sim: Learning to Generate Training Data with NeRF

22 July 2022
Yunhao Ge
Harkirat Singh Behl
Lyne Tchapmi
Suriya Gunasekar
Neel Joshi
Ya-heng Song
Xin Wang
Laurent Itti
Vibhav Vineet
ArXivPDFHTML

Papers citing "Neural-Sim: Learning to Generate Training Data with NeRF"

11 / 11 papers shown
Title
SonarSplat: Novel View Synthesis of Imaging Sonar via Gaussian Splatting
SonarSplat: Novel View Synthesis of Imaging Sonar via Gaussian Splatting
A. Sethuraman
Max Rucker
Onur Bagoren
Pou-Chun Kung
Nibarkavi N.B. Amutha
Katherine A. Skinner
3DGS
47
0
0
31 Mar 2025
Dual-Camera Smooth Zoom on Mobile Phones
Dual-Camera Smooth Zoom on Mobile Phones
Ren-Rong Wu
Zhilu Zhang
Yu Yang
Wangmeng Zuo
3DGS
28
2
0
07 Apr 2024
Data augmentation with automated machine learning: approaches and performance comparison with classical data augmentation methods
Data augmentation with automated machine learning: approaches and performance comparison with classical data augmentation methods
A. Mumuni
F. Mumuni
65
5
0
13 Mar 2024
AI-Generated Images as Data Source: The Dawn of Synthetic Era
AI-Generated Images as Data Source: The Dawn of Synthetic Era
Zuhao Yang
Fangneng Zhan
Kunhao Liu
Muyu Xu
Shijian Lu
EGVM
31
18
0
03 Oct 2023
Neural radiance fields in the industrial and robotics domain:
  applications, research opportunities and use cases
Neural radiance fields in the industrial and robotics domain: applications, research opportunities and use cases
Eugen Šlapak
Enric Pardo
Matús Dopiriak
T. Maksymyuk
Juraj Gazda
AI4CE
27
12
0
14 Aug 2023
NeRF-Supervised Deep Stereo
NeRF-Supervised Deep Stereo
Fabio Tosi
A. Tonioni
Daniele De Gregorio
Matteo Poggi
MDE
21
41
0
30 Mar 2023
DiffuMask: Synthesizing Images with Pixel-level Annotations for Semantic
  Segmentation Using Diffusion Models
DiffuMask: Synthesizing Images with Pixel-level Annotations for Semantic Segmentation Using Diffusion Models
Weijia Wu
Yuzhong Zhao
Mike Zheng Shou
Hong Zhou
Chunhua Shen
36
140
0
21 Mar 2023
Leveraging the Third Dimension in Contrastive Learning
Leveraging the Third Dimension in Contrastive Learning
Sumukh K Aithal
Anirudh Goyal
Alex Lamb
Yoshua Bengio
Michael C. Mozer
MDE
29
0
0
27 Jan 2023
Expanding Small-Scale Datasets with Guided Imagination
Expanding Small-Scale Datasets with Guided Imagination
Yifan Zhang
Daquan Zhou
Bryan Hooi
Kaixin Wang
Jiashi Feng
36
45
0
25 Nov 2022
DALL-E for Detection: Language-driven Compositional Image Synthesis for
  Object Detection
DALL-E for Detection: Language-driven Compositional Image Synthesis for Object Detection
Yunhao Ge
Lyne Tchapmi
Brian Nlong Zhao
Neel Joshi
Laurent Itti
Vibhav Vineet
DiffM
ObjD
28
16
0
20 Jun 2022
Bilevel Programming for Hyperparameter Optimization and Meta-Learning
Bilevel Programming for Hyperparameter Optimization and Meta-Learning
Luca Franceschi
P. Frasconi
Saverio Salzo
Riccardo Grazzi
Massimiliano Pontil
110
716
0
13 Jun 2018
1