Finally, I've got involved a project where there was a very smooth cooperation between the shooting crew and the VFX on set crew (myself). Yes, sometimes it happens.
It was a happy chrome-balling time.
And a couple of selfies was taken as well.
I'm planning to organize an on set VFX workshop in Budapest (travel, accommodation, sightseeing included). If you are interested, let me know on the comment section.
Getting closer to august it is always an exciting (at least) to check what is going on in the science of computer graphics #SiggraphIsComming, #Siggraph2025
I'm waiting for this like the second coming—can’t wait to find out exactly how it’s all going to unfold. Will there be complimentary cocktails, cocaine, and courtesans included too?
I praised the lord that I could participate at the first time on the Blender conference. I was really amazed that creative community is so creative, innovative, open-minded (and unsustainable (free Coca Cola wtf?)...but it is a different topic).
If you ever wanted to understand color management, my advice is to give up :) and just follow the best practices what Jacob Holiday showed us, for eg. Really, really powerful presentation.
But what about NVIDIA and AI-T (artificial intelligence/information technology). I think the misconception about AI is that these stuff is for Artist. Not really. Artist enjoys creating stuff. If you want to skip the process you rather want to be startup or real estate investor. But there is this mantra: "be more and more and more efficient" but those are rather technical topics than artistic.
To contradict myself being an artist means we have craft (aka technical) skills to use tools like paint and brushes for painting. We get skills of using Blender and so on. So these are also technical topics. Since we use software (at least computer artists) that written in programming language leveraging scientific knowledge and research it really essential to at least have a grasp about the technology and science behind the tools what we are using as an artist. As the great painters hundreds of years ago, they were the masters of utilizing the chemistry of the paints and the canvas fabric and so on.
So that's where can be a major shift, or will emerge a new generation of artist who mastering the AI trainings to train the best models to create images, visuals, videos, sound, substance what cannot be done before.
I really feel there is an interesting position of NVIDIA in that process of advancing AI technologies. Because they belong with us. NVIDIA has significantly advanced computer graphics over the past decades, and they recognize the enormous business potential in this AI field (just look at their stock market performance). However, this rapid development also challenges the value and role of being an artist in today's world.
Francesco Siddi also touched this topic on BCON however it is not really a thing.
Here we go 2025 (not to forget the energy crisis crashes the climate...turn off your computer and give up crypto-mining)
It is the next level to be part of the community, to get know people in person. Also, not to forget the mission to extent the VFX capabilities of Blender, in connection with developing, producing my first live action feature film featuring a CG Polar Bear as the protagonist. It is made with Blender (2D painting of the briefcase in Krita).
The pipeline is always with us. Even if we don't think about it, because it is different from studio to studio, it is exciting to see how they deal with it.
Old but gold (actually, Rhythm & Hues no longer exists, which is the most depressing story of all time in the industry).
The best pipeline presentation(s) of all time (still ancient which is a bit of a sign that nowadays there are less intersting talk on that field).
Not soo long time ago there was a discussion hosted by Side Effects Software at Siggraph.
Or I'm just getting old and only have good memories from the far past—cinesite's presentation about generalizing pipeline and implementing fTrack.
Last but not least: if we are talking about the pipeline, it's unavoidable to talk about Katana. The exciting part is that people may think that Katana is a lighting & rendering tool. Actually, it is a pipeline tool because of the nature of rendering. If you want to render anything, you must create a complex system to flow the data from DCCs (digital content creation tools) to the render engine. That's where Katana comes in. So here is a brilliant presentation about Katana deployment.
I think the current trend is to more and more people gravitates to Blender, Unreal Engine and Houdini. Why? Because these softwares are awesome. It is hard to imagine that big VFX facilities like ILM, MPC, Weta Digital changes there platform softwares which are Maya and Nuke in the first place. But more and more people uses BUEH (stand for Blender, Unreal Engine and Houdini) means the industry will change slowly but surely. Speaking about myself: at home I only use Blender, Krita and Gimp (and Inkscape and Audacity (and 4K Video Downloader of course 😄))
And the platform for share information is youtube so there are couple of links I think worth to watch.
So many spectacular features in Blender 2.9. For me how is a part time animation filmmaker it is the ultimate best ever choice.
Because Virtual Production is also a very HOT topic Unreal Engine is now kind of a game changer in the VFX industry. Hard to summarize in couple of world so check this demo out:
And of course this:
So last but definitely not least Houdini I think is beyond...okay it is not the latest thing, but as I wrote before the PDG is new frontiers for a VFX studio. Because VFX generally speaking is about the mass production of shots, and we tend to automatize thing if it is possible.
And Solaris is and another milestone, because basically it is the implementation of the USD into Houdini. So it is a formalized way to build up light and render complex scenes.
We have to talk about Artificial Intelligence (AI) in connection with CGI. I think usage of AI can affect a lot of things we can't imagine right now. What we are talking about here? For eg. there is subset of AI the so called Machine Learning (ML). It allows us to solve problems much quicker because the computers basically have steeper learning curve. Of course we have to provide large data sets to learn from. It seems more and more things can be optimized with AI or ML.
