In this work, we introduce a self-supervised feature representation lear...
Latent Diffusion Models (LDMs) enable high-quality image synthesis while...
Annotating images with pixel-wise labels is a time-consuming and costly
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Generative adversarial networks (GANs) have recently found applications ...
We introduce DatasetGAN: an automatic procedure to generate massive data...
Differentiable rendering has paved the way to training neural networks t...
Manually labeling video datasets for segmentation tasks is extremely tim...
Many machine learning models operate on images, but ignore the fact that...
Manually labeling objects by tracing their boundaries is a laborious pro...
Learning by contrasting positive and negative samples is a general strat...
Manually labeling datasets with object masks is extremely time consuming...
Robots will eventually be part of every household. It is thus critical t...