Arnold Pfahnl — accepted AI-conference papers

2023

WeatherStream: Light Transport Automation of Single Image Deweathering

Howard Zhang, Yunhao Ba, Ethan Yang, Varan Mehra, Blake Gella, Akira Suzuki +4

CVPR 2023poster

Today single image deweathering is arguably more sensitive to the dataset type, rather than the model. We introduce WeatherStream, an automatic pipeline capturing all real-world weather effects (rain, snow, and rain fog degradations), along with their clean image pairs. Previous state-of-the-art met…

Cited by 23 Source ↗PDF ↗Scholar ↗

2022

Not Just Streaks: Towards Ground Truth for Single Image Deraining

Yunhao Ba, Howard Zhang, Ethan Yang, Akira Suzuki, Arnold Pfahnl, Chethan Chinder Chandrappa +5

ECCV 2022poster

"We propose a large-scale dataset of real-world rainy and clean image pairs and a method to remove degradations, induced by rain streaks and rain accumulation, from the image. As there exists no real-world dataset for deraining, current state-of-the-art methods rely on synthetic data and thus are li…

Cited by 57 Source ↗PDF ↗code ↗Scholar ↗