Abstract: Learning-based methods have proven successful in compressing geometric information for point clouds. For attribute compression, however, they still lag behind non-learning-based methods such ...
1 State Key-Laboratory of Oil and Gas-Reservoir Geology and Exploitation, Chengdu University of Technology, Chengdu, China 2 College of Geophysics, Chengdu University of Technology, Chengdu, China In ...
Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. In this work, we introduce auxiliary discriminator sequence generative adversarial ...
Forbes contributors publish independent expert analyses and insights. I am an MIT Senior Fellow & Lecturer, 5x-founder & VC investing in AI AI is big and powerful – many humans with even a passing ...
Generative artificial intelligence is advancing the iteration of artificial intelligence technology and expanding its application scenarios at an unprecedented speed, but the accompanying legal risks ...
Develop a Generative Adversarial Network (GAN) that takes low-resolution medical images (e.g., MRI or CT scans) and generates high-resolution versions. Design a custom U-Net based generator. Design a ...
Single-cell RNA sequencing (scRNA-seq) is a powerful technology for investigating cell-to-cell heterogeneity, yet its application is often hindered by dropout events, making accurate imputation ...
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