Listar Investigación y publicaciones por autor "Fainstein, Miguel"

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    • DUDF: Differentiable Unsigned Distance Fields with Hyperbolic Scaling 

      Fainstein, Miguel; Siless, Viviana; Iarussi, Emmanuel (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 

      Feldman, Paula; Fainstein, Miguel; Siless, Viviana; Iarussi, Emmanuel; Delrieux, Claudio (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. ...