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ParSEL: Parameterized Shape Editing with Language by Ganeshan, Aditya; Huang, Ryan Y.; Xu, Xianghao; Jones, R. Kenny; Ritchie, Daniel is a scholarly article available to read on EtoBox.

What is ParSEL: Parameterized Shape Editing with Language about?

The ability to edit 3D assets from natural language presents a compelling paradigm to aid in the democratization of 3D content creation. However, while natural language is often effective at communicating general intent, it is poorly suited for specifying precise manipulation. To address this gap, we introduce ParSEL, a system that enables controllable editing of high-quality 3D assets from natural language. Given a segmented 3D mesh and an editing request, ParSEL produces a parameterized editing program. Adjusting the program parameters allows users to explore shape variations with a precise control over the magnitudes of edits. To infer editing programs which align with an input edit request, we leverage the abilities of large-language models (LLMs). However, while we find that LLMs excel at identifying initial edit operations, they often fail to infer complete editing programs, and produce outputs that violate shape semantics. To overcome this issue, we introduce Analytical Edit Propagation (AEP), an algorithm which extends a seed edit with additional operations until a complete editing program has been formed. Unlike prior methods, AEP searches for analytical editing operations

Author

Ganeshan, Aditya; Huang, Ryan Y.; Xu, Xianghao; Jones, R. Kenny; Ritchie, Daniel

Published

2024

Language

EN