ListarUniversidad Torcuato Di Tella por tema "Neural Networks"
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DUDF: Differentiable Unsigned Distance Fields with Hyperbolic Scaling
(Universidad Torcuato Di Tella, 2024)In recent years, there has been a growing interest in training Neural Networks to approximate Unsigned Distance Fields (UDFs) for representing open surfaces in the context of 3D reconstruction. However, UDFs are ... -
VesselVAE: Recursive Variational Autoencoders for 3D Blood Vessel Synthesis
(Universidad Torcuato Di Tella, 2023)We present a data-driven generative framework for synthesizing blood vessel 3D geometry. This is a challenging task due to the complexity of vascular systems, which are highly variating in shape, size, and structure. ...