GEODIFFUSION: TEXT-PROMPTED GEOMETRIC CONTROL FOR OBJECT DETECTION DATA GENERATION

Diffusion models have attracted significant attention due to the remarkable ability to create content and generate data for tasks like image classification. However, the usage of diffusion models to generate the high-quality object detection data remains an underexplored area, where not only image-level perceptual quality but also geometric conditions such as bounding boxes and camera views are essential.

Data and Resources

Cite this as

Kai Chen, Enze Xie, Zhe Chen, Yibo Wang, Lanqing Hong, Zhenguo Li, Dit-Yan Yeung (2024). Dataset: GEODIFFUSION: TEXT-PROMPTED GEOMETRIC CONTROL FOR OBJECT DETECTION DATA GENERATION. https://doi.org/10.57702/kvneiw7f

DOI retrieved: December 3, 2024

Additional Info

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Created December 3, 2024
Last update December 3, 2024
Defined In https://doi.org/10.48550/arXiv.2306.04607
Author Kai Chen
More Authors
Enze Xie
Zhe Chen
Yibo Wang
Lanqing Hong
Zhenguo Li
Dit-Yan Yeung
Homepage https://kaichen1998.github.io/projects/geodiffusion/