TreeSketchNet: From Sketch To 3D Tree Parameters Generation

1 code implementation • 25 Jul 2022 • Gilda Manfredi, Nicola Capece, Ugo Erra, Monica Gruosso

Our approach is based on a well-defined Deep Neural Network (DNN) architecture, we called TreeSketchNet (TSN), based on convolutions and able to generate Weber and Penn parameters that can be interpreted by the modelling software to generate a 3D model of a tree starting from a simple sketch.

DeepFlash: Turning a Flash Selfie into a Studio Portrait

no code implementations • 14 Jan 2019 • Nicola Capece, Francesco Banterle, Paolo Cignoni, Fabio Ganovelli, Roberto Scopigno, Ugo Erra

We present a method for turning a flash selfie taken with a smartphone into a photograph as if it was taken in a studio setting with uniform lighting.

3D Depth Estimation