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20242026
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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

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.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

ProcTex: Consistent and Interactive Text-to-texture Synthesis for Part-based Procedural Models

Ruiqi Xu, Zihan Zhu, Ben Ahlbrand +2

Recent advances in generative modeling have driven significant progress in text-guided texture synthesis. However, current methods focus on synthesizing texture for single static 3…

cs.GR2025

PartComposer: Learning and Composing Part-Level Concepts from Single-Image Examples

Junyu Liu, R. Kenny Jones, Daniel Ritchie

We present PartComposer: a framework for part-level concept learning from single-image examples that enables text-to-image diffusion models to compose novel objects from meaningful…