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WordsEye: an automatic text-to-scene conversion system
Abstract
Natural language is an easy and effective medium for describing visual ideas and mental images. Thus, we foresee the emergence of language-based 3D scene generation systems to let ordinary users quickly create 3D scenes without having to learn special software, acquire artistic skills, or even touch a desktop window-oriented interface. WordsEye is such a system for automatically converting text into representative 3D scenes. WordsEye relies on a large database of 3D models and poses to depict entities and actions. Every 3D model can have associated shape displacements, spatial tags, and functional properties to be used in the depiction process. We describe the linguistic analysis and depiction techniques used by WordsEye along with some general strategies by which more abstract concepts are made depictable.
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Building a Large Annotated Corpus of English: The Penn Treebank
Marcus, M. (1993) · doi:10.21236/ada273556 · Cited by 7,405
Cited by
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Language-driven synthesis of 3D scenes from scene databases
Ma, R., Patil, A. G., Fisher, M., Li, M., Pirk, S., Hua, B.-S., Yeung, S.-K., Tong, X., Guibas, L., & Zhang, H. (2018) · ACM Transactions on Graphics · doi:10.1145/3272127.3275035 · Cited by 100
Opal: Multimodal Image Generation for News Illustration
Liu, V., Qiao, H., & Chilton, L. (2022) · Proceedings of the 35th Annual ACM Symposium on User Interface Software and Technology · doi:10.1145/3526113.3545621 · Cited by 104
Sceneseer:3d scene design with natural language.
Chang, A. X., Eric, M., Savva, M., & Manning, C. D. (2017) · arXiv · doi:10.48550/arxiv.1703.00050 · Cited by 38
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Kim, Y., Lee, S.-J., & Donahue, C. (2025) · Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems · doi:10.1145/3706598.3713818 · Cited by 23
Metadata
- Authors
- Coyne, B., & Sproat, R.
- Venue
- Proceedings of the 28th annual conference on Computer graphics and interactive techniques
- Publisher
- ACM
- Published
- 2001-08
- Pages
- 487-496
- OpenAlex
- W2068676460
- Cited by
- 377
- References
- 1
- FWCI
- 26.37
- Type
- conference paper
- Language
- en
- Open access
- closed
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