Real-Time Rendering progress! (Note that both image and paper quality is much better in the 2nd print) @pointinpolygon @renderwonk @SebHillaire @kenpex @miwanicki

Our upcoming HPG 2025 paper ”Collaborative Texture Filtering” is up! Research done with @_pandersson, Matt Pharr, and @BartWronsk. https://t.co/ZZtPU8vkJB

I'm excited to share our latest paper (work with Matt Pharr and @inversepixel ), "Improved Stochastic Texture Filtering Through Sample Reuse" accepted to I3D'2025. https://t.co/8N9dlSdplT https://t.co/WTtpMHfHlW 1/

FLIP v1.4 is out! It makes the Python implementation about 20-47x faster than before, and significantly more convenient to use. Code available at https://t.co/a5nWWuF2ua. Details in 🧵.

@_pandersson

Single header FLIP.h, for both CPU-only and CUDA, has just been released: https://t.co/upem5dZD5m

A Korean translation of "Real-Time Rendering" will be released July 31. See https://t.co/kvN9UQCGDY for bookstores carrying it.

We finally get to share our neural materials research. We created custom highly-realistic reference materials, we invented new neural models, and we built new graphics systems. End result is these neural materials run in a real-time path tracer. https://t.co/EOHnRbjjS1

NVIDIA is thrilled to share our SIGGRAPH 2023 papers. It is our best SIGGRAPH yet, with ~20 papers authored in partnership with over a dozen universities. Generative AI, 3D content creation, neural rendering, neural physics, and more... https://t.co/fN6f3g2eDQ

I'm super excited to finally share our work (with @karthikvnathan @marcosalvi @inversepixel @_pandersson @aaronlefohn ), accepted to Siggraph 2023: https://t.co/La6yaoB1PT Neural Texture Compression.

Improved material & light separation in triangular 3D model extraction from images. Paper, video & code: https://t.co/oKr5UTjKeV #NeurIPS2022, @nvidia

The #NVIDIA ADA GPU Architecture Whitepaper is available: New RT cores with Opacity Micromaps + Displaced Micro-Meshes, 2x Ray-Triangle intersect throughput, Shader Execution Reordering, 96MB L2 cache, 2x Optical Flow accel. perf, improved Tensor Cores... https://t.co/zy1cEq7fiy

Lookit! Lookit!

We had a blast at #SIGGRAPH2022 last week demoing our new modular open source #neuralfields NeRF library, Kaolin Wisp. In case you missed the session... the video recording of the overview talk and the Wisp tutorial from @OrPerel is available online! https://t.co/bhql57Tf4R

The ReSTIR Path Tracing SIGGRAPH talk is now freely available on YouTube

Now that real-time path tracing is here, what comes next for real-time rendering research? Slides + recording of Petrik Clarberg’s High Performance Graphics 2022 keynote are now available: “Real-Time Path Tracing and Beyond” https://t.co/VMWxI5rwiU (1/3)

For about 38 years I mostly ignored physical units for emitters. Then, (wait for it...), I saw the light. Here's my in-depth post about physical lighting units (and the flawed web pages that try to describe them): https://t.co/wR0ubrWbtN - correct me if I've also erred!

Nu finns "Gamla kirurgen" som ljudbok, inläst av den eminente Fredde Granberg. In och lyssna på valfri tjänst! https://t.co/IqlW5qKalo https://t.co/UJirFNLFSl https://t.co/6NBv7lLZrl Lava förlag #gamlakirurgen

🚨More #HPG2022 Student Competition News🚨 We have updated the quality metric for the competition. We will now use FLIP (Andersson et al., HPG 2020) which is much more suitable to evaluate rendered images. Updated competition rules here:

Seven things for June 1, 2022:

Today, our suspense novel called "Gamla Kirurgen" is available in print... (only in Swedish though). https://t.co/xdeKoFQ95j @andremoller