Category Archives: training

syncing in the hair

Since I work with motion graphics, I’ve been experimenting a lot with synchronization of audio and video. I guess my inspiration of all time is the videoclip for Autechre’s Gantz Graf; after I saw it for the first time I felt I would have researched more in depth, for similar techniques.
Much was done since then, by many; I could present a huge variety of brilliant examples, but the list would be too long, and I would leave too many out of it. Then I won’t, and I’ll just talk of what I did to bring some of the knowledge I had, into the 3d world.

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SSS fancy

Here’s a couple of pictures coming out of a day experimenting with MentalRay’s fast SSS shader, while mashing (messing?) up with old procedural modeling tests, which I fished out of my unintentional researches’ black hole.
Right, it looks more “testy” than tasty, yet it feels someway tangible anyway. That’s a beginning…

look into my eye

In the past few days, I spent some time looking around for efficient (and effective) solutions to make photorealistic eyes; finally I bounced into a very easy and intuitive tutorial from Gnomon, by Alex Alvarez, called Creating Believable Eyes.

The tutorial itself is very basic, but its approach is slightly, interestingly different from the many others I’ve found around: instead of separating the eye geometry into a transparent layer and a non-transparent one, it replicates the basic eye topology.

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Fibonacci rules

While working, and testing a variety of Maya features which I only heard about (until now), I chose I would better keep on training with Python; I have a few procedures for a custom pipeline, in my mind, which are pressing me a lot.

I was looking for some stimulating tutorial, when I bounced into a pretty old paper, which I bookmarked some time ago, as it inspired me a lot. The ecosystem presented and the algorithms beyond it are just stunning.

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