38 citations · 87 across the 14 of their papers we have counts for
16 papers
GenXR-Bench: Benchmarking Coding Agents for Interactive XR Development
William Huang, David Li, Xiang 'Anthony' Chen +13
Coding agents are rapidly advancing from single-file generation to long-horizon repository-scale engineering, yet the evaluation of their capabilities to author interactive extende…
InstructMesh: Selective Refinement of Generative 3D Models for Fabrication
Faraz Faruqi, Ahmed Katary, Demircan Tas +10
Recent advances in generative AI allow users to create 3D models from text or images. However, these models prioritize visual plausibility over geometric accuracy, often generating…
Compos3D: Interactive Part-Based Composition for Creative Control in Generative 3D Models
Faraz Faruqi, Sean J. Liu, George Fitzmaurice +1
While generative AI has unlocked new opportunities for 3D content creation, current workflows often rely on multiple regenerations, which provides limited control and unpredictable…
MiXR: Harvesting and Recomposing Geometry from Real-World Objects for In-Situ 3D Design
Faraz Faruqi, Demircan Tas, Arthur Caetano +6
Recent developments in 3D generative AI enable users to create bespoke 3D models from text or image prompts. However, these approaches provide limited control over spatial structur…
WireBend-kit: A Computational Design and Fabrication Toolkit for Wirebending Custom 3D Wireframe Structures
Faraz Faruqi, Josha Paonaskar, Riley Schuler +7
This paper introduces WireBend-kit, a desktop wirebending machine and computational design tool for creating 3D wireframe structures. Combined, they allow users to rapidly and inex…
MechStyle: Augmenting Generative AI with Mechanical Simulation to Create Stylized and Structurally Viable 3D Models
Faraz Faruqi, Amira Abdel-Rahman, Leandra Tejedor +7
Recent developments in Generative AI enable creators to stylize 3D models based on text prompts. These methods change the 3D model geometry, which can compromise the model's struct…
A11yShape: AI-Assisted 3-D Modeling for Blind and Low-Vision Programmers
Zhuohao Jerry Zhang, Haichang Li, Chun Meng Yu +8
Building 3-D models is challenging for blind and low-vision (BLV) users due to the inherent complexity of 3-D models and the lack of support for non-visual interaction in existing…
TactStyle: Generating Tactile Textures with Generative AI for Digital Fabrication
Faraz Faruqi, Maxine Perroni-Scharf, Jaskaran Singh Walia +4
Recent work in Generative AI enables the stylization of 3D models based on image prompts. However, these methods do not incorporate tactile information, leading to designs that lac…
InteRecon: Towards Reconstructing Interactivity of Personal Memorable Items in Mixed Reality
Zisu Li, Jiawei Li, Zeyu Xiong +6
Digital capturing of memorable personal items is a key way to archive personal memories. Although current digitization methods (e.g., photos, videos, 3D scanning) can replicate the…
Generative AI in Color-Changing Systems: Re-Programmable 3D Object Textures with Material and Design Constraints
Yunyi Zhu, Faraz Faruqi, Stefanie Mueller
Advances in Generative AI tools have allowed designers to manipulate existing 3D models using text or image-based prompts, enabling creators to explore different design goals. Phot…
From Prisons to Programming: Fostering Self-Efficacy via Virtual Web Design Curricula in Prisons and Jails
Martin Nisser, Marisa Gaetz, Andrew Fishberg +3
Self-efficacy and digital literacy are key predictors to incarcerated people's success in the modern workplace. While digitization in correctional facilities is expanding, few temp…
Shaping Realities: Enhancing 3D Generative AI with Fabrication Constraints
Faraz Faruqi, Yingtao Tian, Vrushank Phadnis +2
Generative AI tools are becoming more prevalent in 3D modeling, enabling users to manipulate or create new models with text or images as inputs. This makes it easier for users to r…
Style2Fab: Functionality-Aware Segmentation for Fabricating Personalized 3D Models with Generative AI
Faraz Faruqi, Ahmed Katary, Tarik Hasic +6
With recent advances in Generative AI, it is becoming easier to automatically manipulate 3D models. However, current methods tend to apply edits to models globally, which risks com…
Mixels: Fabricating Interfaces using Programmable Magnetic Pixels
Martin Nisser, Yashaswini Makaram, Lucian Covarrubias +4
In this paper, we present Mixels, programmable magnetic pixels that can be rapidly fabricated using an electromagnetic printhead mounted on an off-the-shelve 3-axis CNC machine. Th…
Selective Self-Assembly using Re-Programmable Magnetic Pixels
Martin Nisser, Yashaswini Makaram, Faraz Faruqi +2
This paper introduces a method to generate highly selective encodings that can be magnetically "programmed" onto physical modules to enable them to self-assemble in chosen configur…
SliceHub: Augmenting Shared 3D Model Repositories with Slicing Results for 3D Printing
Faraz Faruqi, Kenneth Friedman, Leon Cheng +3
In this paper, we explore how to augment shared 3D model repositories, such as Thingiverse, with slicing results that are readily available to all users. By having print time and m…