| title | Advances in Agentic Computer Graphics |
|---|---|
| authors | Hengyu Liu, Jihyeon Je, Ruiqi Wang, Mingxuan Wu, Haven Feng, Qixing Huang, Georgios Pavlakos, Hao Zhang, Jiajun Wu, Maneesh Agrawala, Leonidas Guibas, R. Kenny Jones, Shangzhe Wu, Guandao Yang |
| date | 2026-11-01 |
| venue | arXiv (preprint, not peer reviewed) |
| id | arXiv:2611.01860 |
| affiliation | University of Texas at Austin |
| upvotes | 110 (Hugging Face Daily Papers, 2026-11-04) |
| links | abs pdf hf |
| cite | |
| abstract | Computer graphics is built on code. Large language model (LLM) agents can now generate graphics code and iteratively refine it through various feedback. This capability opens the door to a potentially new paradigm of computer graphics, with graphics algorithms increasingly built around agentic systems to automate progressively complex tasks. Over the past years, research on agentic graphics has expanded rapidly across a diverse range of tasks. This rapid growth makes it increasingly difficult for manual literature reviews to keep pace with new developments. At the same time, similar ideas are often described using different terminology across these tasks, further complicating efforts to develop a systematic understanding of the field. In this report, we address these challenges through two contributions. First, we introduce a unified taxonomy for characterizing agentic systems across diverse computer graphics tasks. Second, we develop an agentic literature system that can assist human researchers in analyzing existing and newly published papers at scale. Building on these contributions, we analyze emerging research trends and discuss open challenges in coordinating agents and tools across graphics tasks, designing interfaces and representations for human-agent collaboration, sustaining long-horizon planning and refinement, and reliably evaluating interactive graphics systems. |
bibtex
@misc{liu2026advances,
title={Advances in Agentic Computer Graphics},
author={Hengyu Liu and Jihyeon Je and Ruiqi Wang and Mingxuan Wu and Haven Feng and Qixing Huang and Georgios Pavlakos and Hao Zhang and Jiajun Wu and Maneesh Agrawala and Leonidas Guibas and R. Kenny Jones and Shangzhe Wu and Guandao Yang},
year={2026},
eprint={2611.01860},
archivePrefix={arXiv},
url={https://arxiv.org/abs/2611.01860}
}