We've released a new video tutorial demonstrating caustic design using differentiable rendering in Mitsuba 3! youtube.com/watch?v=eTHL3W… You can download the notebook to try it out locally on your own inputs: mitsuba.readthedocs.io/en/latest/src/…

Applying for a CS-related PhD soon, or know someone who is? The PhDs of EPFL's Computer & Communication Sciences department wrote a guide to help! We also have volunteers to review SoPs and resumes for people who lack mentorship, so check it out! epic-guide.github.io/applying

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.

I am now putting together a collection of Ghostwriter pieces and taking in requests through Twitter for new prompts to feed Ghostwriter, if you have any ideas, please add them here I will love to have them included 🤖♥️🤖. (13/13)

I've had great fun spending some of my free time over the last months developing a small music box toy for the #playdate console. Check it out in case you have one of these! tizian.itch.io/playdate-music… cc Playdate Hello Playdate Podcast

Look what arrived in the mail today!

Happy April Fools' day everyone! To celebrate the occasion, here is "Noodles", a small path tracer built entirely inside Blender 🔶's shader node editor: tizianzeltner.com/projects/noodl… 🍜 Alternative title: a silly joke idea that got way out of hand. Co-conspirator: @b_nicolet

Did you know that inverse rendering can suffer from severe bias when the images are noisy (e.g. made using Monte Carlo methods). Our SIGGRAPH'23 paper dives into this overlooked issue (w/ @b_nicolet, Fabrice Rousselle, Jan Novák , Alexander Keller, and Thomas Müller)

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)

I'm really happy that I got to collaborate with such a talented team over the last few months, and proud of the result! Check out Adaptive Shells, which will be presented at SIGGRAPH Asia.

Proud to share that Adaptive Shells has been selected for a SIGGRAPH Asia Best Paper Award! #SIGGRAPHAsia2023 #NVIDIA

📢Our new NVIDIA AI paper is out! I'm happy to share Compact NGP with Learned Hash Probing, which offers NeRFs that are 3.5x smaller than Instant NGP at a ~1.26x training cost and equivalent (or faster) inference speeds! 🌐: nv-tlabs.github.io/compact-ngp/ 🎥: youtube.com/watch?v=3TEry8…

I am thankful to every individuals and companies which have allowed keeping Dear ImGui permissive and open source for many years. I do 100% intend to keep it as such. If your team relies on Dear ImGui consider reaching out to discuss ways of supporting the software.

It was great to be part of this project combining a diffusion model with differentiable physically based rendering!

Following over 1.5 years of hard work (w/Nicolas Roussel& Rami Tabbara), we just released a brand-new version of Dr.Jit (v1.0), my lab's differentiable rendering compiler along with an updated Mitsuba (v3.6). The list of changes is insanely long—here is what we're most excited about🧵

🚀Excited to introduce GEN3C #CVPR2025, a generative video model with an explicit 3D cache for precise camera control. 🎥It applies to multiple use cases, including single-view and sparse-view NVS🖼️ and challenging settings like monocular dynamic NVS and driving simulation🚗.

Our #Siggraph25 work found a simple, nearly one-line change that greatly eases neural field optimization for a wide variety of existing representations. “Stochastic Preconditioning for Neural Field Optimization” w/ Merlin Nimier-David Alec Jacobson Nick Sharp

Gen3C, our generative video model with precise camera control is out! Start from any image and generate a video following the camera trajectory of your choice.

Here's a gaussian splat of a macro shot I've been making. superspl.at/view?id=cf6ac7…

Dr.Jit+Mitsuba just added support for fused neural networks, hash grids, and function freezing to eliminate tracing overheads. This speeds up optimization & realtime jobs and enables custom Instant NGP and neural material/radiosity/path guiding projects. What will you do with it?