Automatic Generation of Commercial Scenes

Author:

Zhang Shao-Kui1ORCID,Liu Jia-Hong1ORCID,Li Yike1ORCID,Xiong Tianyi1ORCID,Ren Ke-Xin1ORCID,Fu Hongbo2ORCID,Zhang Song-Hai3ORCID

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

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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