3 papers
cs.GR2025
Hybridizing Expressive Rendering: Stroke-Based Rendering with Classic and Neural Methods
Kapil Dev
Non-Photorealistic Rendering (NPR) has long been used to create artistic visualizations that prioritize style over realism, enabling the depiction of a wide range of aesthetic effe…
cs.HC2025
Automating the Path: An R&D Agenda for Human-Centered AI and Visualization
Niklas Elmqvist, Clemens Nylandsted Klokmose
The emergence of generative AI, large language models (LLMs), and foundation models is fundamentally reshaping computer science, and visualization and visual analytics are no excep…
cs.CL2024
Harnessing Business and Media Insights with Large Language Models
Yujia Bao, Ankit Parag Shah, Neeru Narang +30
This paper introduces Fortune Analytics Language Model (FALM). FALM empowers users with direct access to comprehensive business analysis, including market trends, company performan…