activity
20232026
most citedOpen-Universe Indoor Scene Generation using LLM Program Synthesis and Uncurated Object Databases

2 citations · 2 across the 8 of their papers we have counts for

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5 papers · 1 filter

cs.GR2025

Residual Primitive Fitting of 3D Shapes with SuperFrusta

Aditya Ganeshan, Matheus Gadelha, Thibault Groueix +5

We introduce a framework for converting 3D shapes into compact and editable assemblies of analytic primitives, directly addressing the persistent trade-off between reconstruction f…

cs.GR2025

Procedural Scene Programs for Open-Universe Scene Generation: LLM-Free Error Correction via Program Search

Maxim Gumin, Do Heon Han, Seung Jean Yoo +6

Synthesizing 3D scenes from open-vocabulary text descriptions is a challenging, important, and recently-popular application. One of its critical subproblems is layout generation: g…

cs.GR2025

MiGumi: Making Tightly Coupled Integral Joints Millable

Aditya Ganeshan, Kurt Fleischer, Wenzel Jakob +4

Traditional integral wood joints, despite their strength, durability, and elegance, remain rare in modern workflows due to the cost and difficulty of manual fabrication. CNC millin…

cs.GR2025

Imperative vs. Declarative Programming Paradigms for Open-Universe Scene Generation

Maxim Gumin, Do Heon Han, Seung Jean Yoo +5

Current methods for generating 3D scene layouts from text predominantly follow a declarative paradigm, where a Large Language Model (LLM) specifies high-level constraints that are…

cs.GR2024

Creating Language-driven Spatial Variations of Icon Images

Xianghao Xu, Aditya Ganeshan, Karl D. D. Willis +2

Editing 2D icon images can require significant manual effort from designers. It involves manipulating multiple geometries while maintaining the logical or physical coherence of the…