38 citations · 73 across the 11 of their papers we have counts for
13 papers
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…