Summary of Geometric Algebra Meets Large Language Models: Instruction-based Transformations Of Separate Meshes in 3d, Interactive and Controllable Scenes, by Dimitris Angelis et al.
Geometric Algebra Meets Large Language Models: Instruction-Based Transformations of Separate Meshes in 3D, Interactive and Controllable Scenes
by Dimitris Angelis, Prodromos Kolyvakis, Manos Kamarianakis, George Papagiannakis
First submitted to arxiv on: 5 Aug 2024
Categories
- Main: Computer Vision and Pattern Recognition (cs.CV)
- Secondary: Artificial Intelligence (cs.AI); Graphics (cs.GR)
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary A novel integration of Large Language Models (LLMs) with Conformal Geometric Algebra (CGA) is introduced for controllable 3D scene editing. The traditional methods for object repositioning tasks rely on large training datasets or lack a formalized language for precise edits. Our system, shenlong, leverages zero-shot learning capabilities of pre-trained LLMs to translate natural language instructions into CGA operations, ensuring accurate spatial transformations within 3D scenes without specialized pre-training. Implemented in a realistic simulation environment, shenlong ensures compatibility with existing graphics pipelines. The paper evaluates the impact of CGA through benchmarking against robust Euclidean Space baselines, evaluating both latency and accuracy. Comparative performance evaluations indicate that shenlong reduces LLM response times by 16% and boosts success rates by 9.6% on average compared to traditional methods. Additionally, shenlong achieves a 100% perfect success rate in common practical queries, outperforming other systems. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary This paper makes it easier to edit 3D scenes using words instead of complicated computer codes. It combines two powerful tools: Large Language Models (LLMs) that can understand language and Conformal Geometric Algebra (CGA) that is a special way to describe shapes in math. The result, called shenlong, allows people to move objects around in 3D scenes using simple words or phrases. This makes it easier for non-experts to edit 3D scenes, which can be useful for things like making video games or creating virtual reality experiences. |
Keywords
* Artificial intelligence * Zero shot
