Advancing 3D point cloud understanding through deep transfer learning: A comprehensive survey
The 3D point cloud (3DPC) has significantly evolved and benefited from the advance of
deep learning (DL). However, the latter faces various issues, including the lack of data or …
deep learning (DL). However, the latter faces various issues, including the lack of data or …
DiffusionGAN3D: Boosting Text-guided 3D Generation and Domain Adaptation by Combining 3D GANs and Diffusion Priors
B Lei, K Yu, M Feng, M Cui… - Proceedings of the IEEE …, 2024 - openaccess.thecvf.com
Text-guided domain adaptation and generation of 3D-aware portraits find many applications
in various fields. However due to the lack of training data and the challenges in handling the …
in various fields. However due to the lack of training data and the challenges in handling the …
Learning an interpretable stylized subspace for 3d-aware animatable artforms
Throughout history, static paintings have captivated viewers within display frames, yet the
possibility of making these masterpieces vividly interactive remains intriguing. This research …
possibility of making these masterpieces vividly interactive remains intriguing. This research …
ToonAging: Face Re-Aging upon Artistic Portrait Style Transfer
Face re-aging is a prominent field in computer vision and graphics, with significant
applications in photorealistic domains such as movies, advertising, and live streaming …
applications in photorealistic domains such as movies, advertising, and live streaming …
Self-Supervised pre-training model based on Multi-view for MOOC Recommendation
R Tian, J Cai, C Li, J Wang - Expert Systems with Applications, 2024 - Elsevier
Recommendation strategies based on concepts of knowledge are gradually applied to
personalized course recommendation to promote model learning from implicit feedback …
personalized course recommendation to promote model learning from implicit feedback …