TM-GAN: A Transformer-Based Multi-Modal Generative Adversarial Network for Guided Depth Image Super-Resolution

Jiang Zhu; Van Kwan Zhi Koh; Zhiping Lin; Bihan Wen

doi:10.1109/jetcas.2024.3394495

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TM-GAN: A Transformer-Based Multi-Modal Generative Adversarial Network for Guided Depth Image Super-Resolution

Jiang Zhu Van Kwan Zhi Koh Zhiping Lin Bihan Wen

Year: 2024 Journal: IEEE Journal on Emerging and Selected Topics in Circuits and Systems Vol: 14 (2)Pages: 261-274 Publisher: Institute of Electrical and Electronics Engineers

DOI: 10.1109/jetcas.2024.3394495

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Keywords:

Transformer Generative adversarial network Modal Materials science Generative grammar Adversarial system Superresolution Artificial intelligence Image (mathematics) Computer science Acoustics Computer vision Voltage Engineering Physics Electrical engineering Composite material

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Advanced Image Processing Techniques

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Image Processing Techniques and Applications

Physical Sciences → Engineering → Media Technology

Advanced Vision and Imaging

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

TM-GAN: A Transformer-Based Multi-Modal Generative Adversarial Network for Guided Depth Image Super-Resolution

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