Dynamic Paint particle growth

Nikolaus Gradwohl2017-04-12T05:50:44+00:00

For this animation I used a dynamic paint canvas on a plane that emits hair particles based on a wet map. I used another particle system as the dynamic paint brush

you can download the blend file here


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New Track: Seven meets Four

Nikolaus Gradwohl2017-04-11T05:58:49+00:00

a 7/4 loop meets a 4/4 loop in this polyrhytmic exploration, featuring my Mother 32, 0-Coast, MiniNova and Streichfett

seven meets four

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AN experiment - delayed instanciation

Nikolaus Gradwohl2017-04-10T08:38:27+00:00

For this animation I distributed instances of a box on instances of a bezier circle and delayed their appearance by animating their scale

you can download the blend file here

delayed appearence

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AN experiment - distance

Nikolaus Gradwohl2017-04-09T09:44:34+00:00

For this animation I used the distance node from the animation nodes addon to change the height of the boxes based on their distance to an empty.

you can download the blend file here


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AN experiment - instances

Nikolaus Gradwohl2017-04-08T12:10:35+00:00

For this animation I used the animation nodes "distribute instances on spline"-Template and animated the instances using a math node and wiggle node. I rendered the animation using cycles and freestyle.

you can download the blend file here

AN Test instances

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denoising blender animations with opencv and python

Nikolaus Gradwohl2017-04-07T05:42:22+00:00

Nikos Priniotakis posted a teaser of a denoising script for blender animations a few months ago, that shows really impressive improvements on a noisy cycles animation (see his original tweet here) I sent some twitter messages back and forth with him and he sent me the links to the opencv denoise function he used for the demo. So I finaly found the time to wirte a short python script that uses pyopencv to denoise all the pictures in a folder and copies it to another folder.

The script I used to denoise my animation is here

import cv2
import os
import numpy as np
from matplotlib import pyplot as plt
files = os.listdir("metabubbles/")
for f in files:
    if f.endswith('.png') and f.startswith('0'):
        print f
        img = cv2.imread("metabubbles/%s" %f);
        dst = cv2.fastNlMeansDenoisingColored(img)
        cv2.imwrite('res/%s' %f, dst);

The denoising process is no magical pixiedust that can be sprinkled on your noisy cycles-renders to fix everything but when used correcly it can improve preview renders a lot, but if the script is used on an image sequence that is too noisy it introduced a whole lot of new artifacts. I used the script on an amiation I rendered last year. Here is how the original video compares to the denoised version.

denoising blender animations

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AN experiment - curling curves

Nikolaus Gradwohl2017-04-06T05:24:07+00:00

I created a bunch of curves curling around a bezier path using the Animation Nodes Addon for Blender

you can download the blend file here

curling curves

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AN experiment - Cube Snake

Nikolaus Gradwohl2017-04-05T07:47:43+00:00

I transformed a grid of cubes into a wiggly line snake using the vector animation node from the animation nodes addon in blender

you can download the blend file here

cube snake

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New Track: Dream some More

Nikolaus Gradwohl2017-04-04T06:26:30+00:00

dont wake up yet - dream on - just a few more minutes ...

dream some more

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Nikolaus Gradwohl2017-04-03T06:31:51+00:00

For this animation I used some fluid particles and created a surface using the cubesurfer addon for blender

you can download the blend file here


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