Pagml: Precise alignment guided metric learning for sketch-based 3d shape retrieval

S Bai, J Bai, H Xu, J Tuo, M Liu - Image and Vision Computing, 2023 - Elsevier
Sketch-based 3D shape retrieval has always been a hot research topic in the computer
vision community. The main challenge is to alleviate the cross-modality discrepancies such …

Democratising 2d sketch to 3d shape retrieval through pivoting

PN Chowdhury, AK Bhunia, A Sain… - Proceedings of the …, 2023 - openaccess.thecvf.com
This paper studies the problem of 2D sketch to 3D shape retrieval, but with a focus on
democratising the process. We would like this democratisation to happen on two fronts:(i) to …

Domain disentangled generative adversarial network for zero-shot sketch-based 3d shape retrieval

R Xu, Z Han, L Hui, J Qian, J Xie - … of the AAAI Conference on Artificial …, 2022 - ojs.aaai.org
Sketch-based 3D shape retrieval is a challenging task due to the large domain discrepancy
between sketches and 3D shapes. Since existing methods are trained and evaluated on the …

Deep cross-modality adaptation via semantics preserving adversarial learning for sketch-based 3d shape retrieval

J Chen, Y Fang - … of the European conference on computer …, 2018 - openaccess.thecvf.com
Due to the large cross-modality discrepancy between 2D sketches and 3D shapes,
retrieving 3D shapes by sketches is a significantly challenging task. To address this …

Uncertainty learning for noise resistant sketch-based 3d shape retrieval

S Liang, W Dai, Y Wei - IEEE Transactions on Image …, 2021 - ieeexplore.ieee.org
Recently, sketch-based 3D shape retrieval has received growing attention in the community
of computer graphics and computer vision. Most previous works focus on the problem of how …

Deep sketch-shape hashing with segmented 3d stochastic viewing

J Chen, J Qin, L Liu, F Zhu, F Shen… - Proceedings of the …, 2019 - openaccess.thecvf.com
Sketch-based 3D shape retrieval has been extensively studied in recent works, most of
which focus on improving the retrieval accuracy, whilst neglecting the efficiency. In this …

Deep point-to-subspace metric learning for sketch-based 3D shape retrieval

Y Lei, Z Zhou, P Zhang, Y Guo, Z Ma, L Liu - Pattern Recognition, 2019 - Elsevier
One key issue in managing a large scale 3D shape dataset is to identify an effective way to
retrieve a shape-of-interest. The sketch-based query, which enjoys the flexibility in …

3D sketching for interactive model retrieval in virtual reality

D Giunchi, S James, A Steed - Proceedings of the Joint Symposium on …, 2018 - dl.acm.org
We describe a novel method for searching 3D model collections using free-form sketches
within a virtual environment as queries. As opposed to traditional sketch retrieval, our …

Automatic Scene Generation: State-of-the-Art Techniques, Models, Datasets, Challenges, and Future Prospects

AA Fime, S Mahmud, A Das, MS Islam… - arXiv preprint arXiv …, 2024 - arxiv.org
Automatic scene generation is an essential area of research with applications in robotics,
recreation, visual representation, training and simulation, education, and more. This survey …

Computer aided design (CAD) model search and retrieval using frequency domain file conversion

W Li, G Mac, NG Tsoutsos, N Gupta, R Karri - Additive Manufacturing, 2020 - Elsevier
The computer aided design (CAD) files are often tagged manually or searched and retrieved
from a database using machine learning algorithms. There has been significant interest in …