Abstract: In this research, we present a new method on how to reconstruct 3D object from 2D images by employing Variational Autoencoders (VAE ... our approach learns the distribution of 3D shapes ...

Official implementation of 'Learning 3D Representations from 2D Pre-trained Models via Image-to-Point Masked Autoencoders'.

Latent Diffusion Autoencoders (LDAE ... First latent diffusion autoencoder framework for 3D medical images - LDAE learns semantic representations without supervision, suitable for classification, ...

Our research encompasses evaluations conducted on diverse benchmark datasets, including ImageNet, MNIST, Fashion-MNIST, DeepFashion2, and a collection of 3D human ... entire image. We introduced noise ...