no code implementations • ECCV 2020 • Xiaowei Zhang, Christopher May, Daniel Aliaga
Automatic satellite-based reconstruction enables large and widespread creation of urban areas.
no code implementations • 15 Mar 2024 • Yizhi Song, Zhifei Zhang, Zhe Lin, Scott Cohen, Brian Price, Jianming Zhang, Soo Ye Kim, He Zhang, Wei Xiong, Daniel Aliaga
Generative object compositing emerges as a promising new avenue for compositional image editing.
no code implementations • ICCV 2023 • Liu He, Daniel Aliaga
Modeling and designing urban building layouts is of significant interest in computer vision, computer graphics, and urban applications.
no code implementations • CVPR 2023 • Adnan Firoze, Cameron Wingren, Raymond A. Yeh, Bedrich Benes, Daniel Aliaga
We present a novel approach to perform instance segmentation, and counting, for densely packed self-similar trees using a top-view RGB image sequence.
no code implementations • CVPR 2023 • Yizhi Song, Zhifei Zhang, Zhe Lin, Scott Cohen, Brian Price, Jianming Zhang, Soo Ye Kim, Daniel Aliaga
Object compositing based on 2D images is a challenging problem since it typically involves multiple processing stages such as color harmonization, geometry correction and shadow generation to generate realistic results.
1 code implementation • 2 Dec 2022 • Yizhi Song, Zhifei Zhang, Zhe Lin, Scott Cohen, Brian Price, Jianming Zhang, Soo Ye Kim, Daniel Aliaga
Object compositing based on 2D images is a challenging problem since it typically involves multiple processing stages such as color harmonization, geometry correction and shadow generation to generate realistic results.
1 code implementation • 4 Aug 2020 • Manush Bhatt, Rajesh Kalyanam, Gen Nishida, Liu He, Christopher May, Dev Niyogi, Daniel Aliaga
We present a Photo2Building tool to create a plausible 3D model of a building from only a single photograph.