From Quickdraw To Story: A Story Generation System for Kidsxe2x80x99 Robot From quickdraw to story aims to draw a narrative story based on simple lines children draw. On account of the simple knowledge contained in quickdraw and lack of labelled data, this task is assuredly challenging. In this paper, it is divided into two subtasks. Firstly, a Multitask Transformer Network is proposed to generate the sentence on the grounds of the information of quickdraw. Secondly, we finetune the OpenAI Generative Pretraining Model (OpenAI GPT) to generate a story on the basis of the sentence. However, evaluating the text generation model is difficult. In order to solve with this, a new evaluation metric based on Story Cloze Test is proposed. Our evaluations indicate the prominent results our method has achieved in this task.

SmartPaint: a cocreative drawing system based on generative adversarial networks Artificial intelligence (AI) has played a significant role in imitating and producing largescale designs such as ecommerce banners. However, it is less successful at creative and collaborative design outputs. Most humans express their ideas as rough sketches, and lack the professional skills to complete pleasing paintings. Existing AI approaches have failed to convert varied user sketches into artistically beautiful paintings while preserving their semantic concepts. To bridge this gap, we have developed SmartPaint, a cocreative drawing system based on generative adversarial networks (GANs), enabling a machine and a human being to collaborate in cartoon landscape painting. SmartPaint trains a GAN using triples of cartoon images, their corresponding semantic label maps, and edge detection maps. The machine can then simultaneously understand the cartoon style and semantics, along with the spatial relationships among the objects in the landscape images. The trained system receives a sketch as a semantic label map input, and automatically synthesizes its edge map for stable handling of varied sketches. It then outputs a creative and fine painting with the appropriate style corresponding to the humanxe2x80x99s sketch. Experiments confirmed that the proposed SmartPaint system successfully generates highquality cartoon paintings.