4 citations · 12 across the 8 of their papers we have counts for
9 papers
Linkify: Learning from Interface-Augmented Assembly Graphs
Anushrut Jignasu, Daniele Grandi
We present Linkify, a framework for learning from interface-augmented assembly graphs to enable context-aware part retrieval in mechanical assemblies. While recent generative AI me…
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…
STITCH: Surface reconstrucTion using Implicit neural representations with Topology Constraints and persistent Homology
Anushrut Jignasu, Ethan Herron, Zhanhong Jiang +5
We present STITCH, a novel approach for neural implicit surface reconstruction of a sparse and irregularly spaced point cloud while enforcing topological constraints (such as havin…
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…
Evaluating Neural Radiance Fields (NeRFs) for 3D Plant Geometry Reconstruction in Field Conditions
Muhammad Arbab Arshad, Talukder Jubery, James Afful +5
We evaluate different Neural Radiance Fields (NeRFs) techniques for the 3D reconstruction of plants in varied environments, from indoor settings to outdoor fields. Traditional meth…
Latent Diffusion Models for Structural Component Design
Ethan Herron, Jaydeep Rade, Anushrut Jignasu +4
Recent advances in generative modeling, namely Diffusion models, have revolutionized generative modeling, enabling high-quality image generation tailored to user needs. This paper…
Towards Foundational AI Models for Additive Manufacturing: Language Models for G-Code Debugging, Manipulation, and Comprehension
Anushrut Jignasu, Kelly Marshall, Baskar Ganapathysubramanian +3
3D printing or additive manufacturing is a revolutionary technology that enables the creation of physical objects from digital models. However, the quality and accuracy of 3D print…
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…
Neural PDE Solvers for Irregular Domains
Biswajit Khara, Ethan Herron, Zhanhong Jiang +8
Neural network-based approaches for solving partial differential equations (PDEs) have recently received special attention. However, the large majority of neural PDE solvers only a…