Though many attempts have been made in blind super-resolution to restore low-resolution images with unknown and complex degradations, they are still far from addressing general real-world degraded images.
We introduce RAFT-Stereo, a new deep architecture for rectified stereo based on the optical flow network RAFT.
In this paper, we propose a novel architecture, Temporal Routing Adaptor (TRA), to empower existing stock prediction models with the ability to model multiple stock trading patterns.
In this paper, we present DeepSIM, a generative model for conditional image manipulation based on a single image.
We find that one of the main reasons for that is the lack of an effective receptive field in both the inpainting network and the loss function.