Our upcoming HPG 2025 paper ”Collaborative Texture Filtering” is up! Research done with @_pandersson, Matt Pharr, and @BartWronsk. research.nvidia.com/labs/rtr…

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. arxiv.org/abs/2504.05562 research.nvidia.com/labs/rtr… 1/

The 2nd workshop on Computer Vision for Videogames will be organized at CVPR 2025: this is a great venue for gaming-related research (think AI, genAI, graphics, RL, agents, HCI — with applications to videogames). There is still time to submit: sites.google.com/view/cv2-20… #CVPR2025

RT @ekta_prashnani: We are hiring a Ph.D. intern (in-person at an NVIDIA, USA, office; California preferred) to work on multi-modal foundat…

The #HPG2024 student competition is live! If you're a student interested in computer graphics, we encourage you to participate and remix some classic computer graphics images! highperformancegraphics.org/… (credits: neural bunny by blackle, AsciiArt Teapot by Sebastien Durand-2014)

Over the summer this project will likely focus on the generative AI side and need that skill set. Excited to work with @ekta_prashnani on this! Contact us if you’re interested.

RT @ekta_prashnani: We are hiring a Ph.D. Intern @ NVIDIA, to work on generative models, visual perception, and quality of digital avatars.…

It should now be easier than ever to use ꟻLIP.

EGSR 2024 will be at Imperial College, London, on July 3rd through 5th. See egsr2024.uk/. The Call for Papers is now up, and Ruth Rosenholtz (from MIT and NVIDIA) has accepted our invitation for the first keynote. Hope to see you there!

Thrilled to announce our work "Conditional Resampled Importance Sampling and ReSTIR" (SIGGRAPH Asia 2023). We extend RIS and ReSTIR into conditional probability spaces, enabling novel forms of sample reuse. 1/7

New #NVIDIAResearch paper: SLANG.D: Fast, Modular and Differentiable Shader Programming: shows how a single language serves as a unified platform for real-time, inverse, and differentiable rendering. Collaboration with @MIT, @UCSanDiego, & @UW. 🧵 1/2 nvda.ws/46H4p14

Clarifying an earlier call: We are looking for a Ph.D. intern @ NVIDIA for research on human perception of 3D scenes. Human vision and/or graphics background with an interest in human vision. DM me if interested or have questions. Please spread the word.

We are hiring a Ph.D. intern @ NVIDIA for research on multi-modal generative models, reinforcement learning, self-supervised representations, and 3D perception for video conferencing. If you have experience leading insightful contributions on any of these topics, DM / email me.

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. research.nvidia.com/labs/rtr…

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... blogs.nvidia.com/blog/2023/0…