Understanding design collaboration between designers and artificial intelligence: A systematic literature review

Y Shi, T Gao, X Jiao, N Cao - Proceedings of the ACM on Human …, 2023 - dl.acm.org
Recent interest in design through the artificial intelligence (AI) lens is rapidly increasing.
Designers, as a special user group interacting with AI, have received more attention in the …

Generative adversarial networks–enabled human–artificial intelligence collaborative applications for creative and design industries: A systematic review of current …

RT Hughes, L Zhu, T Bednarz - Frontiers in artificial intelligence, 2021 - frontiersin.org
The future of work and workplace is very much in flux. A vast amount has been written about
artificial intelligence (AI) and its impact on work, with much of it focused on automation and …

Sdedit: Guided image synthesis and editing with stochastic differential equations

C Meng, Y He, Y Song, J Song, J Wu, JY Zhu… - ar** autoencoder for deep image manipulation
T Park, JY Zhu, O Wang, J Lu… - Advances in …, 2020 - proceedings.neurips.cc
Deep generative models have become increasingly effective at producing realistic images
from randomly sampled seeds, but using such models for controllable manipulation of …

Llmr: Real-time prompting of interactive worlds using large language models

F De La Torre, CM Fang, H Huang… - Proceedings of the …, 2024 - dl.acm.org
We present Large Language Model for Mixed Reality (LLMR), a framework for the real-time
creation and modification of interactive Mixed Reality experiences using LLMs. LLMR …

Deep fluids: A generative network for parameterized fluid simulations

B Kim, VC Azevedo, N Thuerey, T Kim… - Computer graphics …, 2019 - Wiley Online Library
This paper presents a novel generative model to synthesize fluid simulations from a set of
reduced parameters. A convolutional neural network is trained on a collection of discrete …

LLM enabled generative collaborative design in a mixed reality environment

S Xu, Y Wei, P Zheng, J Zhang, C Yu - Journal of Manufacturing Systems, 2024 - Elsevier
In the collaborative design process, diverse stakeholder backgrounds often introduce
inefficiencies in collaboration, such as delays in design delivery and decreased creativity …

An HCI-centric survey and taxonomy of human-generative-AI interactions

J Shi, R Jain, H Doh, R Suzuki, K Ramani - arxiv preprint arxiv …, 2023 - arxiv.org
Generative AI (GenAI) has shown remarkable capabilities in generating diverse and realistic
content across different formats like images, videos, and text. In Generative AI, human …

Spatial interpolation using conditional generative adversarial neural networks

D Zhu, X Cheng, F Zhang, X Yao, Y Gao… - International Journal of …, 2020 - Taylor & Francis
Spatial interpolation is a traditional geostatistical operation that aims at predicting the
attribute values of unobserved locations given a sample of data defined on point supports …