Quality Prediction of View Synthesis Based on Curriculum-Style Structure Generation-Reference-Cited by-同舟云学术

Quality Prediction of View Synthesis Based on Curriculum-Style Structure Generation

Published:2023 Issue: Volume:30 Page:274-278
ISSN:1070-9908
Container-title:IEEE Signal Processing Letters
language:
Short-container-title:IEEE Signal Process. Lett.

Author:

Shi Haozhi¹^ORCID,Huang Yipo²^ORCID,Wang Lanmei¹^ORCID

Affiliation:

1. School of Physics, Xidian University, Xi'an, China

2. School of Artificial Intelligence, Xidian University, Xi'an, China

Funder

National Natural Science Foundation of China

Transportation Technology Project of Shaanxi Province

Key Research and Development Program Projects of Shaanxi Province

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Applied Mathematics,Electrical and Electronic Engineering,Signal Processing

Link

http://xplorestaging.ieee.org/ielx7/97/10036333/10076801.pdf?arnumber=10076801

Reference30 articles.

1. Quality Assessment of DIBR-Synthesized Images by Measuring Local Geometric Distortions and Global Sharpness

2. NIQSV: A no reference image quality assessment metric for 3D synthesized views

3. No-Reference View Synthesis Quality Prediction for 3-D Videos Based on Color–Depth Interactions

4. No-Reference Quality Prediction for DIBR-Synthesized Images Using Statistics of Fused Color-Depth Images

5. Paying more attention to attention: Improving the performance of convolutional neural networks via attention transfer;zagoruyko;Proc Int Conf Learn Representations,0

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