Pontus Ebelin

formerly Andersson

[Tomas Akenine-Möller @inversepixel]

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

[Bart Wronski 🇺🇦🇵🇸 @BartWronsk]

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/

[Ekta Prashnani @ekta_prashnani]

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: https://t.co/DFlU1Qgn8v
#CVPR2025

[Ekta Prashnani @ekta_prashnani]

We are hiring a Ph.D. intern (in-person at an NVIDIA, USA, office; California preferred) to work on multi-modal foundation models + agents / digital avatars. Ideal candidate is one with a track record of leading impactful research & the ability to obtain work permit in the US.

[ap 🦖 @kernelfusion_]

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! https://t.co/R6w7uJljFy

(credits: neural bunny by blackle, AsciiArt Teapot by Sebastien Durand-2014)

[Pontus Ebelin @_pandersson]

- Performance improvements for the C++ and CUDA implementations of HDR-FLIP (2x faster HDR-FLIP on CUDA)
- ... and more!

Implemented in collaboration with @inversepixel.

We hope you'll enjoy v1.4! Let us know if you run into any issues.

[Pontus Ebelin @_pandersson]

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 🧵.

[Pontus Ebelin @_pandersson]

The update includes

- Install using pip install .
- Run FLIP in your own Python evaluation pipeline with import flip and flip.evaluate(...)
- Python implementation now leverages the C++ code through pybind11

[Pontus Ebelin @_pandersson]

- Performance improvements for the C++ and CUDA implementations of HDR-ꟻLIP (2x faster HDR-ꟻLIP on CUDA)
- ... and more!

Implemented in collaboration with @inversepixel.

We hope you'll enjoy v1.4! Let us know if you run into any issues.

[Pontus Ebelin @_pandersson]

The update includes

- Install using pip install .
- Run ꟻLIP in your own Python evaluation pipeline with import flip and flip.evaluate(...)
- Python implementation now leverages the C++ code through pybind11

[Ruth Rosenholtz @[email protected] @RuthRosenholtz]

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.

[Ekta Prashnani @ekta_prashnani]

We are hiring a Ph.D. Intern @ NVIDIA, to work on generative models, visual perception, and quality of digital avatars. Ideal candidate is someone with a track record of leading impactful work. Contact @RuthRosenholtz or me if you think you would be a good fit. Details in thread.

[Pontus Ebelin @_pandersson]

It should now be easier than ever to use ꟻLIP.

[Tomas Akenine-Möller @inversepixel]

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

[Eurographics Symposium on Rendering @EGSympRendering]

EGSR 2024 will be at Imperial College, London, on July 3rd through 5th. See https://t.co/5ZnIQfV8uD. 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!

[Markus Kettunen @nmkettunen]

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

[NVIDIA AI Developer @NVIDIAAIDev]

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

https://t.co/5DHzQldMMV

[Ruth Rosenholtz @[email protected] @RuthRosenholtz]

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.

[Ekta Prashnani @ekta_prashnani]

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.

[Aaron Lefohn @aaronlefohn]

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

[Aaron Lefohn @aaronlefohn]

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