I'm excited to share the open-source release of hdMitsuba, a USD Hydra delegate for the Mitsuba 3 renderer. By leveraging the Hydra API, this project brings Mitsuba directly into OpenUSD workflows. The GIF below shows interactive rendering within usdview. 🧵

I am excited to announce Dr.Jit 1.4 and Mitsuba 3.9 which now feature GPU-accelerated compute/ray tracing on Apple Silicon. Significant optimizations in both projects accelerate tracing/code generation ~2x. They generate better code and have faster Python bindings.🧵

What an amazing release 👏 so many new and immensely useful features! 🤩

Wenzel Jakob@wjakob.bsky.social · 12mo ago

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

Rendering nerds! Check out our latest work "Vector-Valued Monte Carlo Integration Using Ratio Control Variates" that has just gotten the best paper award at SIGGRAPH 2025. This paper presents a method that reduces variance of a wide range of rendering and diff. rendering tasks with negligible cost.

The latest development version of Dr.Jit now provides built-in support for evaluating and training MLPs (including fusing them into rendering workloads). They compile to efficient Tensor Core operations via NVIDIA's Cooperative Vector extension. Details: drjit.readthedocs.io/en/latest/nn...

🚀 The source code for our #SIGGRAPH2025 paper "Practical Inverse Rendering of Textured and Translucent Appearance" is now available! 🔗 GitHub: github.com/google/pract...

GitHub - google/practical-inverse-rendering-of-textured-and-translucent-appearance: SIGGRAPH 2025 "Practical Inverse Rendering Of Textured And Translucent Appearance"

SIGGRAPH 2025 "Practical Inverse Rendering Of Textured And Translucent Appearance" - google/practical-inverse-rendering-of-textured-and-translucent-appearance

github.com

Excited to finally share Philippe's amazing work that he did with our team at Google!

Philippe Weier@weiphil.bsky.social · last yr.

Inverse rendering has become a standard tool for 3D reconstruction problems. However, recovering high-frequency appearance textures is challenging. In our SIGGRAPH 2025 paper, we propose several techniques to robustly reconstruct complex appearances (e.g., human skin). 1/n

3D Gaussian splatting relies on depth-sorting of splats, which is costly and prone to artifacts (e.g., "popping"). In our latest work, "StochasticSplats", we replace sorted alpha blending by stochastic transparency, an unbiased Monte Carlo estimator from the real-time rendering literature.

(2/2) 🏆 Our invited speakers for February to April, 2025 includes: Dorian Chan, @axelparis.bsky.social, ZHEN XU, ezgi ozyilkan, Zhaocheng Liu, @deliovicini.bsky.social, Qi Guo, @niladridutt.bsky.social, Akshat Dave, Ethan Tseng, Ziyang Chen. 👉 For more details: complightlab.com/outreach

We are excited to present a SIGGRAPH Asia paper exploring a new application of inverse rendering to Tomographic Volumetric Additive Manufacturing (TVAM), a new light-based 3D printing technology that can print objects in less than a minute.

Super exciting to see these new versions finally being released. it's amazing how far Mitsuba & Dr.Jit have come!

Wenzel Jakob@wjakob.bsky.social · 2y ago

Following over 1.5 years of hard work (w/@njroussel.bsky.social &@rtabbara.bsky.social), 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🧵