2023 article

LEARNING SPATIALLY-ADAPTIVE SQUEEZE-EXCITATION NETWORKS FOR FEW SHOT IMAGE SYNTHESIS

2023 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING, ICIP, pp. 2855–2859.

By: J. Shen n & T. Wu n

author keywords: data-specificity; spatially-adaptive; attention; low-shot
TL;DR: A spatially-adaptive squeeze-excitation module for image synthesis task that is tested in low-shot image generative learning task, and shows better performance than prior arts. (via Semantic Scholar)
UN Sustainable Development Goal Categories
Sources: Web Of Science, NC State University Libraries
Added: March 11, 2024

2023 article

LEARNING SPATIALLY-ADAPTIVE STYLE-MODULATION NETWORKS FOR SINGLE IMAGE SYNTHESIS

2023 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING, ICIP, pp. 1455–1459.

By: J. Shen n & T. Wu n

author keywords: single image; generative learning; spatially-adaptive
TL;DR: A spatially adaptive style-modulation (SASM) module that learns to preserve realistic spatial configuration of images and learns to generate samples with better fidelity than prior works is proposed. (via Semantic Scholar)
UN Sustainable Development Goal Categories
Sources: Web Of Science, NC State University Libraries
Added: March 11, 2024

Citation Index includes data from a number of different sources. If you have questions about the sources of data in the Citation Index or need a set of data which is free to re-distribute, please contact us.

Certain data included herein are derived from the Web of Science© and InCites© (2024) of Clarivate Analytics. All rights reserved. You may not copy or re-distribute this material in whole or in part without the prior written consent of Clarivate Analytics.