2 papers with code • 0 benchmarks • 0 datasets
In this paper, we propose a novel approach named Multi-Channel Attention SelectionGAN (SelectionGAN) that makes it possible to generate images of natural scenes in arbitrary viewpoints, based on an image of the scene and a novel semantic map.
Ranked #1 on Cross-View Image-to-Image Translation on Ego2Top
Accurate environment perception is essential for automated driving.
Ranked #1 on Semantic Segmentation on Cam2BEV