Zobrazeno 1 - 10
of 108
pro vyhledávání: '"Schulz, Adriana"'
Autor:
Mei, Yuxuan, Jones, Benjamin, Cascaval, Dan, Mankoff, Jennifer, Vouga, Etienne, Schulz, Adriana
Storage, organizing, and decorating are an important part of home design. While one can buy commercial items for many of these tasks, this can be costly, and re-use is more sustainable. An alternative is a "home hack", a functional assembly that can
Externí odkaz:
http://arxiv.org/abs/2401.15279
This paper introduces a novel automated system for generating architecture schematic designs aimed at streamlining complex decision-making at the multifamily real estate development project's outset. Leveraging the combined strengths of generative AI
Externí odkaz:
http://arxiv.org/abs/2402.00052
Autor:
Zhang, Zhihan, Hähnlein, Felix, Mei, Yuxuan, Englhardt, Zachary, Patel, Shwetak, Schulz, Adriana, Iyer, Vikram
Reducing the environmental footprint of electronics and computing devices requires new tools that empower designers to make informed decisions about sustainability during the design process itself. This is not possible with current tools for life cyc
Externí odkaz:
http://arxiv.org/abs/2311.09611
Autor:
Makatura, Liane, Foshey, Michael, Wang, Bohan, HähnLein, Felix, Ma, Pingchuan, Deng, Bolei, Tjandrasuwita, Megan, Spielberg, Andrew, Owens, Crystal Elaine, Chen, Peter Yichen, Zhao, Allan, Zhu, Amy, Norton, Wil J, Gu, Edward, Jacob, Joshua, Li, Yifei, Schulz, Adriana, Matusik, Wojciech
The advancement of Large Language Models (LLMs), including GPT-4, provides exciting new opportunities for generative design. We investigate the application of this tool across the entire design and manufacturing workflow. Specifically, we scrutinize
Externí odkaz:
http://arxiv.org/abs/2307.14377
Autor:
Kodnongbua, Milin, Jones, Benjamin T., Ahmad, Maaz Bin Safeer, Kim, Vladimir G., Schulz, Adriana
Parametric CAD models encode entire families of shapes that should, in principle, be easy for designers to explore. However, in practice, parametric CAD models can be difficult to manipulate due to implicit semantic constraints among parameter values
Externí odkaz:
http://arxiv.org/abs/2306.03217
Publikováno v:
ACM Transactions on Graphics, Volume 41, Issue 4, July 2022, Article No.: 149, pp 2-12
This work proposes a novel generative design tool for passive grippers -- robot end effectors that have no additional actuation and instead leverage the existing degrees of freedom in a robotic arm to perform grasping tasks. Passive grippers are used
Externí odkaz:
http://arxiv.org/abs/2306.03174
Publikováno v:
ACM Transactions on Graphics, Volume 42, Issue 4, August 2023, Article No.: 1
Large Computer-Aided Design (CAD) projects usually require collaboration across many different CAD systems as well as applications that interoperate with them for manufacturing, visualization, or simulation. A fundamental barrier to such collaboratio
Externí odkaz:
http://arxiv.org/abs/2306.03169
Autor:
Ritchie, Daniel, Guerrero, Paul, Jones, R. Kenny, Mitra, Niloy J., Schulz, Adriana, Willis, Karl D. D., Wu, Jiajun
Procedural models (i.e. symbolic programs that output visual data) are a historically-popular method for representing graphics content: vegetation, buildings, textures, etc. They offer many advantages: interpretable design parameters, stochastic vari
Externí odkaz:
http://arxiv.org/abs/2304.10320
The design of man-made objects is dominated by computer aided design (CAD) tools. Assisting design with data-driven machine learning methods is hampered by lack of labeled data in CAD's native format; the parametric boundary representation (B-Rep). S
Externí odkaz:
http://arxiv.org/abs/2210.10807
We describe our work on inferring the degrees of freedom between mated parts in mechanical assemblies using deep learning on CAD representations. We train our model using a large dataset of real-world mechanical assemblies consisting of CAD parts and
Externí odkaz:
http://arxiv.org/abs/2208.01779