2 papers
cs.CV2024
Detection-Driven Object Count Optimization for Text-to-Image Diffusion Models
Oz Zafar, Yuval Cohen, Lior Wolf +1
Accurately controlling object count in text-to-image generation remains a key challenge. Supervised methods often fail, as training data rarely covers all count variations. Methods…
cs.DB2024
LINX: A Language Driven Generative System for Goal-Oriented Automated Data Exploration
Tavor Lipman, Tova Milo, Amit Somech +2
Data exploration is a challenging process in which users examine a dataset by iteratively employing a series of queries. While in some cases the user explores a new dataset to beco…