Automatic Generation of Commercial Scenes
Author:
Affiliation:
1. Tsinghua University, Beijing, China
2. City University of Hong Kong, Hong Kong, Hong Kong
3. Tsinghua University & BNRist, Beijing, China
Funder
Tsinghua-Tencent Joint Laboratory for Internet Innovation Technology
Natural Science Foundation of China
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3581783.3613456
Reference51 articles.
1. Shopping Behavioral Intentions Contributed by Store Layout and Perceived Crowding: An Exploratory Study Using Computer Walk-Through Simulation
2. Does In-Store Marketing Work? Effects of the Number and Position of Shelf Facings on Brand Attention and Evaluation at the Point of Purchase
3. Angel Chang , Will Monroe , Manolis Savva , Christopher Potts , and Christopher D Manning . 2015. Text to 3d scene generation with rich lexical grounding. arXiv preprint arXiv:1505.06289 ( 2015 ). Angel Chang, Will Monroe, Manolis Savva, Christopher Potts, and Christopher D Manning. 2015. Text to 3d scene generation with rich lexical grounding. arXiv preprint arXiv:1505.06289 (2015).
4. Automatic semantic modeling of indoor scenes from low-quality RGB-D data using contextual information
5. 3D indoor scene modeling from RGB-D data: a survey
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