Description: Website for the Workshop on 3D Scene Generation at CVPR 2019 ---
workshop (5487) machine learning (3784) robotics (2147) computer vision (853) natural language processing (430) computer graphics (395) reinforcement learning (162) visual learning (30) cvpr (20) simulation environments (9)
Image credit: [1, 2, 7, 12, 6, 4, 5]
People spend a large percentage of their lives indoors---in bedrooms, living rooms, offices, kitchens, and other such spaces---and the demand for virtual versions of these real-world spaces has never been higher. Game developers, VR/AR designers, architects, and interior design firms are all increasingly making use virtual 3D scenes for prototyping and final products. Furthermore, AI/vision/robotics researchers are also turning to virtual environments to train data-hungry models for tasks such as visual nav
As the vision community turns from passive internet-images-based vision tasks to applications such as the ones listed above, the need for virtual 3D environments becomes critical. The community has recently benefited from large scale datasets of both synthetic 3D environments [13] and reconstructions of real spaces [8, 9, 14, 16], and the development of 3D simulation frameworks for studying embodied agents [3, 10, 11, 15]. While these existing datasets are a valuable resource, they are also finite in size a
Kevin (Kai) Xu's Homepage
AI3DCC: Workshop on AI for 3D Content Creation
Cheng Sun
Kaichun Mo
Learning to Generate 3D Shapes and Scenes
AI3DG: Workshop on AI for 3D Generation
2019 Workshop on 3D Reconstruction and Interactive Augmented Reality (3IAR)
CVAE 2019