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Kpcn

PyTorch implementation of Kernel-predicting convolutional networks for denoising Monte Carlo renderings (Jupyter notebook)

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/learn @Nidjo123/Kpcn
About this skill

Quality Score

0/100

Supported Platforms

Universal

README

KPCN

PyTorch implementation of Kernel-predicting convolutional networks paper in form of Jupyter notebook.

The idea is to apply convolutional networks to denoise Monte Carlo renderings.

This was done as a part of my MSc term project at Faculty of Electrical Engineering and Computing (FER), University of Zagreb, Croatia.

View on GitHub
GitHub Stars43
CategoryEducation
Updated7mo ago
Forks5

Languages

Jupyter Notebook

Security Score

87/100

Audited on Aug 27, 2025

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