activity
20232025
most citedTowards Foundational AI Models for Additive Manufacturing: Language Models for G-Code Debugging, Manipulation, and Comprehension

3 citations · 13 across the 9 of their papers we have counts for

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5 papers · 1 filter

cs.CV2025

Decorum: A Language-Based Approach For Style-Conditioned Synthesis of Indoor 3D Scenes

Kelly O. Marshall, Omid Poursaeed, Sergiu Oprea +5

3D indoor scene generation is an important problem for the design of digital and real-world environments. To automate this process, a scene generation model should be able to not o…

cs.CV2024★ 2 cited

Slice-100K: A Multimodal Dataset for Extrusion-based 3D Printing

Anushrut Jignasu, Kelly O. Marshall, Ankush Kumar Mishra +5

G-code (Geometric code) or RS-274 is the most widely used computer numerical control (CNC) and 3D printing programming language. G-code provides machine instructions for the moveme…

cs.CV2024★ 2 cited

BioTrove: A Large Curated Image Dataset Enabling AI for Biodiversity

Chih-Hsuan Yang, Benjamin Feuer, Zaki Jubery +12

We introduce BioTrove, the largest publicly accessible dataset designed to advance AI applications in biodiversity. Curated from the iNaturalist platform and vetted to include only…

cs.CV2024★ 2 cited

Robust Concept Erasure Using Task Vectors

Minh Pham, Kelly O. Marshall, Chinmay Hegde +1

With the rapid growth of text-to-image models, a variety of techniques have been suggested to prevent undesirable image generations. Yet, these methods often only protect against s…

cs.CV2023

ZeroForge: Feedforward Text-to-Shape Without 3D Supervision

Kelly O. Marshall, Minh Pham, Ameya Joshi +4

Current state-of-the-art methods for text-to-shape generation either require supervised training using a labeled dataset of pre-defined 3D shapes, or perform expensive inference-ti…