In machine learning, generative modeling aims to learn to generate new data statistically
similar to the training data distribution. In this paper, we survey learning generative models …

Deep learning applications on computer vision involve the use of large-volume and
representative data to obtain state-of-the-art results due to the massive number of …

GANs have matured in recent years and are able to generate high-resolution, realistic
images. However, the computational resources and the data required for the training of high …

Tooth arrangement is a crucial step in orthodontics treatment, in which aligning teeth could
improve overall well-being, enhance facial aesthetics, and boost self-confidence. To …

By lifting the pre-trained 2D diffusion models into Neural Radiance Fields (NeRFs), text-to-
3D generation methods have made great progress. Many state-of-the-art approaches …

One appealing feature of diffusion models is their exceptional ability to generate diverse and
high-quality images. Consequently, significant efforts have been invested in editing real …