A simple application using OptiX DLDenoiser post processing stage to render volumetric datasets with ambient occlusion.
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Updated
Apr 25, 2019 - C++
A simple application using OptiX DLDenoiser post processing stage to render volumetric datasets with ambient occlusion.
Physically-based path tracer, capable of rendering globally illuminated scenes with the power of parallelization. Includes a denoiser that uses G-buffers to guide a smoothing filter.
My Master Thesis experimentation source codes
Review of Speech to text voice denoisers
Image Denoiser, Nvidia Optix, Intel OID, RenderMan Hyperion
Removes gaussian noise from colored images using an autoencoder.
Colored/White Guassian Noise Removal via Adaptive Thresholding in Curvelet Domain
NSNet2 Deep Noise Suppression (DNS) package
Noise2Noise is an AI denoiser trained with noisy images only. We implemented a ligther version which trains faster on smaller pictures without losing performance and an even simpler one where every low-level component was implemented from scratch, including a reimplementation of autograd.
Unofficial Tensorflow/Keras implementation of Google AI VoiceFilter
Sliding Filter for AWGN Denoising
CUDA Spatiotemporal Variance-Guided Filtering (SVGF) Path Tracing Denoiser [2022]
Arduino MidiController for Hamradio
Nuke plugin for denoising CG renders based on OpenImageDenoise library.
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