Ömercan Yazici @pearcoding
Computer Graphics Researcher | Computer Graphics, Global Illumination, Raytracing, Daylighting, HPC and Quantum Optics | Saarland University pearcoding.eu Saarbrücken, Deutschland Joined March 2012-
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Ömercan Yazici retweeted
If you are at SIGGRAPH, come check out the live demo of our paper "N-BVH: Neural ray queries with bounding volume hierarchies" in the Emerging Technology session from 11:15-1:15 pm in Exhibit Hall F!
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Ömercan Yazici retweeted
Ever wanted to load a large asset in your GPU path tracer, only to find it doesn't fit in memory? Then check out our #SIGGRAPH2024 paper “N-BVH: Neural ray queries with bounding volume hierarchies” (with Alexander Rath, @exppad, @iliyang, Philipp Slusallek and @boubek)
Ömercan Yazici retweeted
Want to find out how to reduce perceptual error in animation rendering by using optimized sample sets? Join me, Corentin Salaün, @iliyang, @PGrittmann, Philipp Slusallek, Karol Myszkowski and @sinbagga at #SIGGRAPHAsia2023! More info at: misakorac.com/publications/2…
Ömercan Yazici retweeted
The free web version of "Physically Based Rendering: From Theory To Practice" is now based on the 4th edition of the book. Enjoy! (Link: pbr-book.org)
Radiance Workshop 2023. Here we go!
Ömercan Yazici retweeted
I will be presenting our work at #SIGGRAPH2023 during the inverse rendering session on Tuesday, 10:45am - 12:15pm PDT. Together with Pascal Grittmann @PGrittmann and Philipp Slusallek. [1/4]
Sometimes the error images between two systems look fabulous. In this case all the pattern originates from FP precision. #error #science #evaluation
As deployment in AnyDSL can be a bit rough, I did a small set of scripts for Windows to download and setup AnyDSL and other dependencies necessary for Ignis. Feel free to adapt to your needs. github.com/PearCoding/Ign…
#SIGGRAPH2022 and #Vancouver was awesome. So many people interested in the same things as I am. Niceee😁 (Sorry for bad picture, but did not take many)🤔
Ömercan Yazici retweeted
Great way to start the week! #b3d 😀
Ömercan Yazici retweeted
Our latest step towards the one algorithm to render them all: Efficiency-aware MIS renders a scene with unidirectional path tracing and automatically detects if, where, and how many bidirectional samples should be used (SIGGRAPH 2022) graphics.cg.uni-saarland.de/publications/g…
Ömercan Yazici retweeted
Wanna play some Russian roulette? Our second SIGGRAPH 2022 paper, EARS: Efficiency-aware Russian roulette and splitting, shows how to iteratively optimize the Russian roulette and splitting factors in your path tracer to maximize rendering efficiency. graphics.cg.uni-saarland.de/publications/r…
Ömercan Yazici retweeted
Very cool: What people mean when they use everyday terms describing probabilities. github.com/zonination/per…
If nothing works in a C++ application... recompile again, and ohh wonder ohh wonder, it just works again ლ(ಠ_ಠლ) /s
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