24 citations · 34 across the 3 of their papers we have counts for
3 papers
cs.LG2021★ 6 cited
S3RP: Self-Supervised Super-Resolution and Prediction for Advection-Diffusion Process
Chulin Wang, Kyongmin Yeo, Xiao Jin +3
We present a super-resolution model for an advection-diffusion process with limited information. While most of the super-resolution models assume high-resolution (HR) ground-truth…
cs.CV2020★ 24 cited
Physics-Informed Neural Network Super Resolution for Advection-Diffusion Models
Chulin Wang, Eloisa Bentivegna, Wang Zhou +2
Physics-informed neural networks (NN) are an emerging technique to improve spatial resolution and enforce physical consistency of data from physics models or satellite observations…
physics.ao-ph2020★ 4 cited
Investigating two super-resolution methods for downscaling precipitation: ESRGAN and CAR
Campbell D. Watson, Chulin Wang, Timothy Lynar +1
In an effort to provide optimal inputs to downstream modeling systems (e.g., a hydrodynamics model that simulates the water circulation of a lake), we hereby strive to enhance reso…