Researchers have developed an AI system that learns about the world via videos and demonstrates a notion of “surprise” when ...
The study applies a Kalman filter (KF) to Generalized Autoregressive Conditional Heteroskedasticity (GARCH) models to create a hybrid model, to estimate the parameters of the GARCH model in the ...
Abstract: UniT is an approach to tactile representation learning, using VQGAN to learn a compact latent space and serve as the tactile representation. It uses tactile images obtained from a single ...
This project implements a framework for training Latent Diffusion Models (LDM) using disentangled representations. Specifically, we separate input data into shared (c) and modality-specific (uv) ...
Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. This study introduces PROFIS, a new generative model capable of the design of ...
Abstract: Representing 3D faces using generative models has been investigated for several years for its numerous applications in computer vision and graphics. However, general 3D face manipulation is ...
Latent Diffusion Autoencoders (LDAE) is a novel unsupervised framework for representation learning in 3D medical imaging. The method compresses 3D MRI scans using an AutoencoderKL, then applies a ...
Can international cooperation keep space peaceful? We examine the challenges and opportunities for safeguarding space security. The 1960s were a landmark decade for space exploration, featuring ...
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