Hybrid Sparse Transformer and Feature Alignment for Efficient Image Completion

In this paper, we propose an efficient single‐stage hybrid architecture for image completion. Existing transformer‐based image completion methods often struggle with accurate content restoration, largely due to their ineffective modeling of corrupted channel information and the attention noise intro...

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Veröffentlicht in:	Computer graphics forum Jg. 44; H. 7
Hauptverfasser:	Chen, L., Sun, H.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Oxford Blackwell Publishing Ltd 01.10.2025
Schlagworte:	Alignment CCS Concepts Computer vision tasks Computing methodologies → Image processing Decoupling Image Completion Inference Machine learning Modules Neural networks Texture
ISSN:	0167-7055, 1467-8659
Online-Zugang:	Volltext
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