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View article: Detection-Driven Object Count Optimization for Text-to-Image Diffusion Models
Detection-Driven Object Count Optimization for Text-to-Image Diffusion Models Open
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 that manipulate the denoising process to add or remove obj…
View article: LINX: A Language Driven Generative System for Goal-Oriented Automated Data Exploration
LINX: A Language Driven Generative System for Goal-Oriented Automated Data Exploration Open
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 become familiar with it, more often, the exploration process is…