Visual Creation
Visual creation is a rapidly evolving field focused on generating and manipulating images using artificial intelligence, primarily aiming to improve the efficiency and accessibility of image creation across various domains. Current research emphasizes the development of unified models, like diffusion transformers, capable of handling diverse tasks from image generation to editing, often leveraging large language models for instruction processing and data augmentation. This work is significant for its potential to automate complex visual tasks, improve accessibility for individuals with disabilities, and accelerate progress in fields like medical imaging, art, and robotics through the creation of high-quality, diverse datasets and improved model architectures.
Papers
Creating and Repairing Robot Programs in Open-World Domains
Claire Schlesinger, Arjun Guha, Joydeep Biswas
Large Language Models Reflect the Ideology of their Creators
Maarten Buyl, Alexander Rogiers, Sander Noels, Iris Dominguez-Catena, Edith Heiter, Raphael Romero, Iman Johary, Alexandru-Cristian Mara, Jefrey Lijffijt, Tijl De Bie