Search Results for author: Marco Cagnazzo

Found 5 papers, 1 papers with code

Learn how to Prune Pixels for Multi-view Neural Image-based Synthesis

no code implementations5 May 2023 Marta Milovanović, Enzo Tartaglione, Marco Cagnazzo, Félix Henry

Image-based rendering techniques stand at the core of an immersive experience for the user, as they generate novel views given a set of multiple input images.

Neural Rendering

Autonomous Shaping of Latent-Spaces from Reduced PDEs for Physical Neural Networks

no code implementations29 Sep 2021 Chloé Paliard, Nils Thuerey, Marco Cagnazzo, Kiwon Um

In contrast to previous work, we do not constrain the PDE solver but instead give the neural network complete freedom to shape the PDE solutions as degrees of freedom of a latent space.

HEMP: High-order Entropy Minimization for neural network comPression

no code implementations12 Jul 2021 Enzo Tartaglione, Stéphane Lathuilière, Attilio Fiandrotti, Marco Cagnazzo, Marco Grangetto

We formulate the entropy of a quantized artificial neural network as a differentiable function that can be plugged as a regularization term into the cost function minimized by gradient descent.

Neural Network Compression Quantization +1

DR2S : Deep Regression with Region Selection for Camera Quality Evaluation

no code implementations21 Sep 2020 Marcelin Tworski, Stéphane Lathuilière, Salim Belkarfa, Attilio Fiandrotti, Marco Cagnazzo

In this work, we tackle the problem of estimating a camera capability to preserve fine texture details at a given lighting condition.

regression

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