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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. ...
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 ...