all AI news
A Creative Industry Image Generation Dataset Based on Captions. (arXiv:2211.09035v1 [cs.CV])
Nov. 17, 2022, 2:15 a.m. | Xiang Yuejia, Lv Chuanhao, Liu Qingdazhu, Yang Xiaocui, Liu Bo, Ju Meizhi
cs.CV updates on arXiv.org arxiv.org
Most image generation methods are difficult to precisely control the
properties of the generated images, such as structure, scale, shape, etc.,
which limits its large-scale application in creative industries such as
conceptual design and graphic design, and so on. Using the prompt and the
sketch is a practical solution for controllability. Existing datasets lack
either prompt or sketch and are not designed for the creative industry. Here is
the main contribution of our work. a) This is the first dataset …
More from arxiv.org / cs.CV updates on arXiv.org
Jobs in AI, ML, Big Data
Data Architect
@ University of Texas at Austin | Austin, TX
Data ETL Engineer
@ University of Texas at Austin | Austin, TX
Lead GNSS Data Scientist
@ Lurra Systems | Melbourne
Senior Machine Learning Engineer (MLOps)
@ Promaton | Remote, Europe
Staff Software Engineer, Generative AI, Google Cloud AI
@ Google | Mountain View, CA, USA; Sunnyvale, CA, USA
Expert Data Sciences
@ Gainwell Technologies | Any city, CO, US, 99999