We present a 3D part guided image editing pipeline for automatic training data generation, which helps to learn fine-grained object understanding models in AD.
This allows us to directly edit the real images using the aligned 3D parts, yielding effective training data for learning robust deep neural networks (DNNs).
This allows us to directly edit the real images using the aligned 3D parts, yielding effective train- ing data for learning robust deep neural networks (DNNs).
This allows us to directly edit the real images using the aligned 3D parts, yielding effective training data for learning robust deep neural networks (DNNs).
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3D part guided image editing for fine-grained object understanding. Z Liu, F Lu, P Wang, H Miao, L Zhang, R Yang, B Zhou. Proceedings of the IEEE/CVF Conference ...
3D part guided image editing for fine-grained object understanding. Z Liu, F Lu, P Wang, H Miao, L Zhang, R Yang, B Zhou. Proceedings of the IEEE/CVF Conference ...
3D Part Guided Image Editing for Fine-Grained Object Understanding · 1 code implementation • CVPR 2020 • Zongdai Liu, Feixiang Lu, Peng Wang, Hui Miao ...
Abstract. Holistically understanding an object and its 3D movable parts through visual perception models is essential for enabling an autonomous agent to ...
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