38 citations · 66 across the 7 of their papers we have counts for
8 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…
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…
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…
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…
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…