OpenRooms: An End-to-End Open Framework for Photorealistic Indoor Scene Datasets
By Zhengqin Li, Ting Yu, Shen Sang, Sarah Wang, Sai Bi, Zexiang Xu, Hong-Xing Yu, Kalyan Sunkavalli, Miloš Hašan, Ravi Ramamoorthi and 1 more. 2020
47 citations recorded by the source corpus.
Subfields: Computer Vision and Pattern Recognition, Evaluation & Benchmarks
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computer Vision and Pattern Recognition
- Dhruv Batra
- Kristen Grauman
- Jitendra Malik
- Abhinav Kumar Gupta
- Luc Van Gool
- Dacheng Tao
- Trevor Darrell
- Santhosh K. Ramakrishnan
In Evaluation & Benchmarks
- Dhruv Batra
- Angel X. Chang
- Manolis Savva
- Nathan Paczan
- Mike Roberts
- Lin Gao
- Huan Fu
- Santhosh K. Ramakrishnan
Citations in the corpus
- Hypersim: A Photorealistic Synthetic Dataset for Holistic Indoor Scene Understanding (2020, background): “In response to this challenge, the computer vision community has developed several photorealistic synthetic datasets and interactive simulation environments that have spurred rapid progress towards the goal of holistic indoor scene understanding [5, 6, 8, 9, 13, 14, 17, 20, 22, 29, 31, 34, 35, 37, 4”
- 3D-FRONT: 3D Furnished Rooms with layOuts and semaNTics (2020, methodology): “Most recently, Structured3D [49] and OpenRoom [24] have emerged as promising alternatives.”
- Habitat-Matterport 3D Dataset (HM3D): 1000 Large-scale 3D Environments for Embodied AI (2021, background): “To limit this discrepancy between synthetic and real domains, there are a number of recent synthetic scene dataset efforts that are designed from real world counterpart environments [11, 14, 15].”