3 accepted papers
This paper introduces Multi-PrefDrive, a framework that significantly enhances LLM-based autonomous driving through multidimensional preference tuning. Aligning LLMs with human driving preferences is crucial yet challenging, as driving scenarios involve complex decisions where multiple incorrect act
We introduce a challenging training scheme of conditional GANs, called open-set semi-supervised image generation, where the training dataset consists of two parts: (i) labeled data and (ii) unlabeled data with samples belonging to one of the labeled data classes, namely, a closed-set, and samples no…
Semantic image synthesis is an image-to-image translation problem where the goal is to learn mapping from semantic segmentation masks to corresponding photorealistic images. However, conventional semantic image synthesis methods require numerous pairs of correct semantic masks and real images, and c…