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. 2009.01376
  4. Cited By
NITES: A Non-Parametric Interpretable Texture Synthesis Method

NITES: A Non-Parametric Interpretable Texture Synthesis Method

2 September 2020
Xuejing Lei
Ganning Zhao
C.-C. Jay Kuo
ArXivPDFHTML

Papers citing "NITES: A Non-Parametric Interpretable Texture Synthesis Method"

5 / 5 papers shown
Title
A Tiny Machine Learning Model for Point Cloud Object Classification
A Tiny Machine Learning Model for Point Cloud Object Classification
Hao Fei
Jintang Xue
Pranav Kadam
Hardik Prajapati
Shan Liu
C.-C. Jay Kuo
3DPC
47
1
0
20 Mar 2023
Improving Data-Efficient Fossil Segmentation via Model Editing
Improving Data-Efficient Fossil Segmentation via Model Editing
Indu Panigrahi
Ryan Manzuk
A. Maloof
Ruth C. Fong
35
1
0
08 Oct 2022
GENHOP: An Image Generation Method Based on Successive Subspace Learning
GENHOP: An Image Generation Method Based on Successive Subspace Learning
Xuejing Lei
Wei Wang
C.-C. Jay Kuo
VLM
32
6
0
07 Oct 2022
PAGER: Progressive Attribute-Guided Extendable Robust Image Generation
PAGER: Progressive Attribute-Guided Extendable Robust Image Generation
Zohreh Azizi
C.-C. Jay Kuo
VLM
DiffM
GAN
40
8
0
01 Jun 2022
AnomalyHop: An SSL-based Image Anomaly Localization Method
AnomalyHop: An SSL-based Image Anomaly Localization Method
Kaitai Zhang
Bin Wang
Wen Wang
Fahad Sohrab
Moncef Gabbouj
C.-C. Jay Kuo
32
16
0
08 May 2021
1