Thinking of applying to be a Master's or PhD student in Computer Graphics? You're in luck! You can talk to existing or former students and get advice with your application by signing up to our mentorship program: forms.gle/e4WeVPVAZ6W9rf…

Siggraph is just around the corner, don't miss on this edition's conference coffee. Both remote and in person, with real coffee for people in Vancouver, kindly provided by NVIDIA ! ☕️ Sign in: research.siggraph.org/programs/confe…

This is amazing! One could deep dive into a **real** production renderer (besides cycles, luxcorerender and appleseed etc.) in the industry now.

If you or someone you know is graduating with a Ph.D. in Computer Graphics soon (in ~1.5 years), please encourage them to apply to the SIGGRAPH Thesis Fast Forward program 🎓⏩ Siggraph Thesis Fast Forward! Google form: forms.gle/cNjA8K4vBsdSv3… for more info: research.siggraph.org/programs/thesi…

The Realistic Graphics Lab is looking to recruit a *PhD student* and a *Research Engineer*. We develop algorithms and systems that invert the process of rendering to reconstruct realistic 3D worlds from images. A bit like "TensorFlow", but for physical simulations of light.

It is such a great honor to take Wojciech Jarosz 's Rendering Algorithms at Dartmouth and win the 1st prize (with @YunquanGu)! Cannot wait to get involved in some cool research projects on rendering afterwards!

3rd place!🤓

Excited to be presenting our latest research at SIGGRAPH 2023 next Tuesday, where we’ll introduce a novel adaptive sampling method for rendering. We derive a method of estimating a neural network’s output variance, which we apply to the same denoiser used in popular...

With support for WebGPU, my tracer has also updated to version 2.0. lgltracer.com There is still a lot of work to do and things to learn. I will keep going👏👏👏 #webgpu #webgl #raytracing #threejs

I’m excited to announce our #SIGGRAPHAsia2025 paper on making the rendering of Gaussian process implicit surfaces (GPIS) practical: cs.dartmouth.edu/~wjarosz/publi…. We achieve this with a novel procedural noise formulation and by enabling next-event estimation for specular BRDFs. [1/7]