High-Fidelity and Efficient Pluralistic Image Completion With Transformers

Image completion has made tremendous progress with convolutional neural networks (CNNs), because of their powerful texture modeling capacity. However, due to some inherent properties (e.g., local inductive prior, spatial-invariant kernels), CNNs do not perform well in understanding global structures...

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Veröffentlicht in:	IEEE transactions on pattern analysis and machine intelligence. - 1979. - 46(2024), 12 vom: 04. Nov., Seite 9612-9629
1. Verfasser:	Wan, Ziyu (VerfasserIn)
Weitere Verfasser:	Zhang, Jingbo, Chen, Dongdong, Liao, Jing
Format:	Online-Aufsatz
Sprache:	English
Veröffentlicht:	2024
Zugriff auf das übergeordnete Werk:	IEEE transactions on pattern analysis and machine intelligence
Schlagworte:	Journal Article