SSIF: Learning Continuous Image Representation for Spatial-Spectral Super-Resolution

no code implementations • 30 Sep 2023 • Gengchen Mai, Ni Lao, Weiwei Sun, Yuchi Ma, Jiaming Song, Chenlin Meng, Hongxu Ma, Jinmeng Rao, Ziyuan Li, Stefano Ermon

Existing digital sensors capture images at fixed spatial and spectral resolutions (e. g., RGB, multispectral, and hyperspectral images), and each combination requires bespoke machine learning models.

Spectral Super-Resolution Super-Resolution

Learning fast and agile quadrupedal locomotion over complex terrain

1 code implementation • 2 Jul 2022 • Xu Chang, Zhitong Zhang, Honglei An, Hongxu Ma, Qing Wei

In this paper, we propose a robust controller that achieves natural and stably fast locomotion on a real blind quadruped robot.