@SebAaltonen I also didn't like it when saw it. In big companies with many developers, having to install a Vulkan SDK in each computer and then debugging where the VULKAN_SDK env variable points to is a pain. Better use Volk and commit it as a subrepo
The development of Embree, OIDN and other Rendering Toolkit libraries is now open and hosted directly on GitHub under Apache 2.0, making it easier for the community to contribute features, fostering cross-company and cross-vendor development. More https://t.co/vMUT8LaUiz
This is again one of those moments when I'm so proud of the work done and want to spread the world!
Odyssey3D got its own dedicated website.
Make sure you visit it to learn more!
https://t.co/7gMZbIBW2G
#automotive#car#infotainment#cockpit#3dprinting#rust#3d#vulkan
Also you will not become a better programmer-scientist-engineer-etc If you spend a single weekend studying. You need to allocate some time(e.g. 5 hours) in weekends for studying and do it for years
I also give the same advice to people. You need consistency if you want to achieve things. E.g. You will not grow your network if you post on social media only once. You need consistency
This is again one of those moments when I'm so proud of the work done and want to spread the world!
Odyssey3D got its own dedicated website.
Make sure you visit it to learn more!
https://t.co/7gMZbIBW2G
#automotive#car#infotainment#cockpit#3dprinting#rust#3d#vulkan
Once @Microsoft 's Shader Model 7 is released, #DirectX 12 will accept shaders compiled to SPIR-V. Microsoft is working with the Khronos #SPIR and #Vulkan Working Groups to ensure that this transition benefits the whole development ecosystem.
https://t.co/QA5ogxxyqN
Microsoft
I just released a Slang.D implementation of 3D Gaussian Splatting renderer.
This will allow researchers to write 3DGS papers even faster (sigh!) since there is no backward pass!
You can trivially change the forward pass like you would do on PyTorch!
https://t.co/CnPu8CYT0O
The Neural Light Grid: A Scalable Production-Ready Learned Irradiance Volume is an excellent write up on this topic, check it out! https://t.co/qnYlrkpBB4
I also found the "Gradients Method" to be exceptionally good. I've read a lot about FEA in the past and also worked at engineering companies but I've never read such a nice explanation. This should be the go to resource when reading Navier-Stokes etc.
Machine learning is everywhere. Even if you know nothing about it and you've never read anything related, you will at some point understand some basic stuff like what is training, inference, neural network etc.