Deep Learning and Graphics Researcher at Intel.
PhD from UCSD, advised by Prof. Ravi Ramamoorthi.
Combining physically based rendering with deep learning
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 https://t.co/1CUUn7G1H3
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.
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.
https://t.co/4edn0ZFwPr
Breaking News: Aleksei Navalny, the most outspoken domestic critic of President Vladimir Putin, has died in prison, Russian state media said. https://t.co/slPBkptDE1
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);
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.
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)
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/..
👋 Excited to share the papers being presented at #ECCV2022@eccvconf by our lab on topics ranging from shape optimization, inverse rendering and domain adaptation:
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.
https://t.co/RMS0HTENTX
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