Advances in agentic computer graphics include taxonomy
Original title: Advances in Agentic Computer Graphics
Report analyzes research trends and open challenges in agentic graphics
Agentic systems generate and iteratively refine graphics code using large language model agents. Paper introduces unified taxonomy for agentic systems across graphics tasks and develops an agentic literature system for paper analysis. It discusses challenges in human-agent collaboration and long-horizon planning.
- Rapid growth in agentic graphics research
- Challenges in human-agent collaboration
- Evaluation of interactive graphics systems
From the original article
1 min read at huggingface.co
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.
By Hengyu Liu, Jihyeon Je, Ruiqi Wang · huggingface.co
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