1 code implementation • 26 Oct 2023 • Erik Scheurer, Jenny Schmalfuss, Alexander Lis, Andrés Bruhn
In this paper, we thoroughly examine the currently available detect-and-remove defenses ILP and LGS for a wide selection of state-of-the-art optical flow methods, and illuminate their side effects on the quality and robustness of the final flow predictions.
no code implementations • 13 May 2022 • Jenny Schmalfuss, Erik Scheurer, Heng Zhao, Nikolaos Karantzas, Andrés Bruhn, Demetrio Labate
Blind inpainting algorithms based on deep learning architectures have shown a remarkable performance in recent years, typically outperforming model-based methods both in terms of image quality and run time.