post-processing

Post Processing Stack

A generic post-processing injector for games and video software.

Unity Post Processing Stack Library | Unity引擎的高品质后处理库

A post processing library that provides the means to implement image filter effects for three.js.

Scripting the Timeline for games in creative ways. Includes a small RTS game build on the 'A Mighty Kingdom' assets

Motion blur post-processing effect for Unity

Bash script which helps with post production for GoPro cameras in Linux, can be used as a replacement for GoPro Studio

A 3D scan/sonar-like post-processing effect for Unity. Essentially a visualization of a spherical signed distance field (SDF).

Screen Space Global Illumination for Unity Universal Render Pipeline

asciinema casts post-production tools

A VR Ready Post processing framework for Three.js and/or A-Frame

Post-Processing Stack v2 Ambient Occlusion works on Lightweight Render Pipeline

A motion blur shader for Godot 3.3

Naive screen-space subsurface scattering solution for Unity 5.

Post-processing effect to procedurally generate a anime/manga-style vignette of lines typically used to portray speed or surprise.

Unity Post Processing with Convolution Neural Network

A generic post-processing injector for games and video software.

Package for taking gameplay screenshots in the Unity Editor across all three pipeline types

Shows how to support rendering per-instance motion vectors within Indirect instanced drawing of Unity.

various post-processing effects for Unity

This project's main goal is to generate and visualize terrain built using voxels. It was achieved using different approaches and computing technologies just for the sake of performance and implementation comparison.

Python visualization and post-processing library for particle-in-cell codes

Software to post-process gridded weather forecasts

Flow Physics and Aeroacoustics Toolbox with Python

Linear to S-Log3 converter for Unity HDRP

Python Telemac Tools for post-processing tasks (includes a workflow)

In this work we propose two postprocessing approaches applying convolutional neural networks (CNNs) either in the time domain or the cepstral domain to enhance the coded speech without any modification of the codecs. The time domain approach follows an end-to-end fashion, while the cepstral domain approach uses analysis-synthesis with cepstral domain features. The proposed postprocessors in both domains are evaluated for various narrowband and wideband speech codecs in a wide range of conditions. The proposed postprocessor improves speech quality (PESQ) by up to 0.25 MOS-LQO points for G.711, 0.30 points for G.726, 0.82 points for G.722, and 0.26 points for adaptive multirate wideband codec (AMR-WB). In a subjective CCR listening test, the proposed postprocessor on G.711-coded speech exceeds the speech quality of an ITU-T-standardized postfilter by 0.36 CMOS points, and obtains a clear preference of 1.77 CMOS points compared to G.711, even en par with uncoded speech.

Collection of HDRP (post-processing) lens flares for Unity

Previously known as Super Look Up Tables