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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Publié dans:	IEEE transactions on pattern analysis and machine intelligence. - 1979. - 46(2024), 12 vom: 21. Dez., Seite 9612-9629
Auteur principal:	Wan, Ziyu (Auteur)
Autres auteurs:	Zhang, Jingbo, Chen, Dongdong, Liao, Jing
Format:	Article en ligne
Langue:	English
Publié:	2024
Accès à la collection:	IEEE transactions on pattern analysis and machine intelligence
Sujets:	Journal Article