id |
caadria2023_143 |
authors |
Zhang, Siyuan, Li, Yifan, Zhang, Siqi, He, Xuexin and Tian, Runjia |
year |
2023 |
title |
Text-to-Garden: Generating Traditional Chinese Garden Design From Text-Descriptions at Scale With Multimodal Machine Learning |
doi |
https://doi.org/10.52842/conf.caadria.2023.1.079
|
source |
Immanuel Koh, Dagmar Reinhardt, Mohammed Makki, Mona Khakhar, Nic Bao (eds.), HUMAN-CENTRIC - Proceedings of the 28th CAADRIA Conference, Ahmedabad, 18-24 March 2023, pp. 79–88 |
summary |
08641080 |
keywords |
multimodal machine learning, text-to-image generation, Traditional Chinese Garden, digital heritage |
series |
CAADRIA |
email |
|
full text |
file.pdf (1,357,636 bytes) |
references |
Content-type: text/plain
|
Amorim Côrtes, M., & Leao de Amorim, A. (2007)
Digital Photogrammetric Restitution of the Pelourinhos FaŤades, in Salvador - Bahia, Brazil
, Proceedings of the 11th Iberoamerican Congress of Digital Graphics, pp. 375-379
|
|
|
|
Brown, A. (2020)
Inhabiting Prosperous Suzhou Through Smart Vr - Interrogating an Ancient Artwork and Documents to Manifest Tangible and Intangible Heritage.
, Proceedings of CAADRIA 22.Available at: https://doi.org/1.26686/wgtn.12922121.
|
|
|
|
Cai, C., & Li, B. (2021)
Training Deep Convolution Network with Synthetic Data for Architectural Morphological Prototype Classification
, Frontiers of Architectural Research, 1(2), pp.34-316.Available at: https://doi.org/1.116/j.foar.22.12.2
|
|
|
|
Dhariwal, P., & Nichol, A. (2021)
Diffusion Models Beat Gans on Image Synthesis
, Advances in Neural Information Processing Systems, 34, pp.878-8794
|
|
|
|
Ladron De Guevara, M. Et Al. (2022)
Design Intents Disentanglement: a Multimodal Approach for Grounding Design Attributes in Objects, CAADRIA Proceedings
, Proceedings of CAADRIA 222: Post-Carbon.
|
|
|
|
Li, A., Tian, R., Wang, And, X. And Lu, Y. (2022)
Plan Generation from Program Graph
, Machine Learning and the City: Applications in Architecture and Urban Design
|
|
|
|
Lin, Y. (2022)
Rhetoric, Writing, and Anexact Architecture: the Experiment of Natural Language Processing (nlp) and Computer Vision (cv) in Architectural Design.
, Proceedings of CAADRIA 222: Post-Carbon.
|
|
|
|
Liu, Y. Et Al. (2021)
Exploration on Machine Learning Layout Generation of Chinese Private Garden in Southern Yangtze.
, Proceedings of the 221 DigitalFUTURES, pp 35-44.
|
|
|
|
Lu, Y. Et Al. (2021)
Deep Multi-task Learning for Cooperative Noma: System Design and Principles.
, IEEE Journal on Selected Areas in Communications, 39(1), pp 61-78.
|
|
|
|
Park, T., Liu, M.Y., Wang, T.C. And Zhu, J.Y. (2019)
Gaugan: Semantic Image Synthesis with Spatially Adaptive Normalization
, ACM SIGGRAPH 219 Real-Time Live! (pp. 1-1).Available at: https://doi.org/1.1145/33635.333237
|
|
|
|
Radford, A., Kim, J.W., Hallacy, C., Ramesh, A., Goh, G., Agarwal, S., Sastry, G., Askell, A., Mishkin, P., Clark, J. And Krueger, G., (2021)
Learning Transferable Visual Models from Natural Language Supervision
, PMLR: International Conference on Machine Learning (pp. 8748-8763).
|
|
|
|
Rafael-Patino, J., Girard, G., Truffet, R., Pizzolato, M., Caruyer, E. And Thiran, J.P., (2021)
The Diffusion-simulated Connectivity (disco) Dataset
, Elsevier: Data in Brief, 38, p.17429.Available at: https://doi.org/1.116/j.dib.221.17429
|
|
|
|
Ramesh, A., Pavlov, M., Goh, G., Gray, S., Voss, C., Radford, A., Chen, M. And Sutskever, I., (2021)
Zero-shot Text-to-image Generation
, PMLR: International Conference on Machine Learning (pp. 8821-8831).
|
|
|
|
Shorten, C., & Khoshgoftaar, T. M. (2019)
A Survey on Image Data Augmentation for Deep Learning
, Springer: Journal of big data, 6(1), 1-48. Available at: https://doi.org/1.1186/s4537-19-197-
|
|
|
|
Vaswani, A., Shazeer, N., Parmar, N., Uszkoreit, J., Jones, L., Gomez, A.N., Kaiser, . And Polosukhin, I. (2017)
Attention is All You Need
, Advances in Neural Information Processing Systems, 3.
|
|
|
|
last changed |
2023/06/15 23:14 |
|