Alexandr Kuznetsov @straintensor

Deep Learning and Graphics Researcher at Intel. PhD from UCSD, advised by Prof. Ravi Ramamoorthi. Combining physically based rendering with deep learning alexku.me Joined March 2020

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Qi Sun @qisun0

a year ago

GazeFusion won both the Best Paper Award🏆and the Best Presentation Award🏆at ACM SAP 24 @ACM_SAPercept! Diffusion-generated images and videos can now be controlled to ensure that viewers' attention aligns with the intended design target. See immersivecomputinglab.org/publication/ga…

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Bing Xu @_bingxu

a year ago

What a pleasant big surprise. Free to share a $1M secret to get a best paper award: to get Iliyan presenting the paper. @EGSympRendering @iliyang. Congrats to @tzumaoli, Trevor and Ravi.

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Stavros Diolatzis @StavrosDiol

a year ago

Time to share our #SIGGRAPH2024 paper "N-Dimensional Gaussians for Fitting of High Dimensional Functions"! We show that N-Dimensional Gaussian mixtures can be optimized to handle high dimensional inputs like MLPs with a fraction of the training times. sdiolatz.info/ndg-fitting/

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The New York Times @nytimes

2 years ago

Breaking News: Aleksei Navalny, the most outspoken domestic critic of President Vladimir Putin, has died in prison, Russian state media said. nyti.ms/3wlPuft

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Alexandr Kuznetsov @straintensor

2 years ago

Why do we need to duplicate the class name during re-initialization? std::vector<std::pair<int,std::string>> var; //... var = std::vector<std::pair<int,std::string>>(10); Instead of: std::vector<std::pair<int,std::string>> var; //... var = auto(10);

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Stephanie Wang @stephamathwang

2 years ago

Our #SIGGRAPH2023 course #ExteriorCalculusInGraphics is out! Learn about the fundamentals of exterior calculus and graphics related topics like geometric optimization, elasticity, and fluid dynamics in this elegant and unified language.

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Weier Philippe @PhilippeWeier

2 years ago

I'm thrilled to share our #SIGGRAPH2023 paper “Neural Prefiltering for Correlation-Aware Levels of Detail” in which we introduce a novel framework for compressed storage of high-detail geometry and appearance. (with @alphanew, @Kaplanyan, @lingqi_yan, and Philipp Slusallek)

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Anton Kaplanyan @Kaplanyan

3 years ago

Looking for a 2023 internship? Intel Graphics Research is hiring in graphics and content creation/generation to advance Intel GPUs. Example topics are neural rendering, distributed rendering, path tracing, differentiable rendering, perceptual graphics 1/..

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Manmohan Chandraker @manu_chandraker

3 years ago

Delighted to receive the Best Paper Honorable Mention @eccvconf #ECCV2022 for Neural Implicit Evolution, together with @ishit_mehta and Ravi Ramamoorthi @ucsd_cse @UCSanDiego @ViLabUCSD Code and webpage: ishit.github.io/nie/

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ViLab UCSD @ViLabUCSD

3 years ago

👋 Excited to share the papers being presented at #ECCV2022 @eccvconf by our lab on topics ranging from shape optimization, inverse rendering and domain adaptation:

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Alexandr Kuznetsov @straintensor

3 years ago

We are happy to share our new @siggraph paper Rendering Neural Materials on Curved Surfaces, which enables the use of neural materials on arbitrary geometry. cseweb.ucsd.edu/~viscomp/proje…

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Anton Kaplanyan @Kaplanyan

3 years ago

I'm excited to welcome @straintensor from Ravi Ramamoorthi's lab to Intel Graphics Research team. His great work in applying machine learning for graphics manifests in two #SIGGRAPH papers and will help us drive the immersive @IntelGraphics of the future