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. 2412.08029
  4. Cited By
NeRF-NQA: No-Reference Quality Assessment for Scenes Generated by NeRF
  and Neural View Synthesis Methods

NeRF-NQA: No-Reference Quality Assessment for Scenes Generated by NeRF and Neural View Synthesis Methods

11 December 2024
Qiang Qu
Hanxue Liang
Xiaoming Chen
Yuk Ying Chung
Yiran Shen
ArXivPDFHTML

Papers citing "NeRF-NQA: No-Reference Quality Assessment for Scenes Generated by NeRF and Neural View Synthesis Methods"

6 / 6 papers shown
Title
Neural Radiance Fields for the Real World: A Survey
Neural Radiance Fields for the Real World: A Survey
Wenhui Xiao
Remi Chierchia
Rodrigo Santa Cruz
Xuesong Li
David Ahmedt-Aristizabal
Olivier Salvado
Clinton Fookes
Léo Lebrat
AI4CE
91
0
0
22 Jan 2025
NVS-SQA: Exploring Self-Supervised Quality Representation Learning for Neurally Synthesized Scenes without References
NVS-SQA: Exploring Self-Supervised Quality Representation Learning for Neurally Synthesized Scenes without References
Qiang Qu
Yiran Shen
Xiaoming Chen
Yuk Ying Chung
Weidong (Tom) Cai
Tongliang Liu
AI4TS
53
0
0
11 Jan 2025
Towards End-to-End Neuromorphic Voxel-based 3D Object Reconstruction Without Physical Priors
Towards End-to-End Neuromorphic Voxel-based 3D Object Reconstruction Without Physical Priors
Chuanzhi Xu
Langyi Chen
Vincent Qu
Haodong Chen
Vera Chung
3DV
52
2
0
01 Jan 2025
Light Field Image Quality Assessment With Auxiliary Learning Based on
  Depthwise and Anglewise Separable Convolutions
Light Field Image Quality Assessment With Auxiliary Learning Based on Depthwise and Anglewise Separable Convolutions
Qiang Qu
Xiaoming Chen
Vera Chung
Zhibo Chen
92
28
0
10 Dec 2024
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision
  Applications
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
Andrew G. Howard
Menglong Zhu
Bo Chen
Dmitry Kalenichenko
Weijun Wang
Tobias Weyand
M. Andreetto
Hartwig Adam
3DH
950
20,599
0
17 Apr 2017
PointNet: Deep Learning on Point Sets for 3D Classification and
  Segmentation
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
C. Qi
Hao Su
Kaichun Mo
Leonidas J. Guibas
3DH
3DPC
3DV
PINN
222
14,131
0
02 Dec 2016
1