NVIDIA at SIGGRAPH 2024
Monday, July 29 | 2:30 p.m. MT
NVIDIA Founder and CEO Jensen Huang sits down with Lauren Goode, senior writer at WIRED, to discuss how accelerated computing and generative AI are transforming industries and creating new opportunities for innovation and growth.
The session will also be live streamed.
Enjoy a complimentary expo pass on NVIDIA using code NVI4327 when you start the registration process here.
Monday, July 29 | 4:00–5:00 p.m. MT
NVIDIA founder and CEO Jensen Huang and Meta founder and CEO Mark Zuckerberg will discuss how fundamental research is enabling AI breakthroughs, and how generative AI and open source will empower developers and creators. They’ll also discuss the role of generative AI in building virtual worlds, and virtual worlds for building the next wave of AI and robots. The session will also be live streamed.
8:00–9:30 a.m. MT | Generative AI for Graphics, Vision and 3DBirds of a Feather | Room 708-710 |
9:00 a.m.–12:15 p.m. MT | Warp: Differentiable Spatial Computing for PythonCourse | Mile High 1A |
9:45–10:07 a.m. MT | Studying Esports Competition: Piloting Methodology for User Studies During TournamentsTalk | Mile High 2A |
10:07–10:29 a.m. MT | On Smoothly Varying Frame Timing in First-Person GamingTalk | Mile High 2A |
3:45–5:15 p.m. MT | Virtual Human Design: Exploring the Opportunities and Challenges of GenAI - Part 1Course | Four Seasons 1 |
9:00–10:00 a.m. MT | OpenVDBBirds of a Feather | Hyatt Regency, Capitol Ballroom 1 |
9:10–9:20 a.m. MT | Diffusion Texture PaintingTechnical Paper | Mile High 2A |
10:45–12:15 p.m. MT | Virtual Human Design: Exploring the Opportunities and Challenges of GenAI - Part 2Course | Bluebird 3A |
10:55–11:05 a.m. MT | Walkin’ Robin: Walk on Stars With Robin Boundary ConditionsCourse | Bluebird 3A |
11:30–11:45 a.m. MT | A Differential Monte Carlo Solver for the Poisson EquationTechnical Paper | Mile High 4 |
12:00–1:00 p.m. MT | Alliance for OpenUSD + Academy Software Foundation USD Working GroupBirds of a Feather | Hyatt Regency, Capitol Ballroom 1 |
1:00–2:00 p.m. MT | Seamless Rendering Interchange in OpenUSDBirds of a Feather | Hyatt Regency, Capitol Ballroom 1 |
2:00–2:10 p.m. MT | Training-free Consistent Text-to-image GenerationTechnical Paper | Mile High 1 |
2:20–2:30 p.m. MT | Path-space Differentiable Rendering of Implicit SurfacesTechnical Paper | Mile High 4 |
2:30–3:30 p.m. MT | NVIDIA CEO Fireside Chat: AI and Graphics for the New Computing RevolutionFireside Chat | Bluebird Ballroom |
3:30–4:30 p.m. MT | Khronos Fast ForwardBirds of a Feather | Room 708-710 |
4:00–5:00 p.m. MT | AI and The Next Computing Platforms with Jensen Huang and Mark ZuckerbergFireside Chat | Bluebird Ballroom |
Explore OpenUSD Day sessions hosted by industry leaders or check out partner talks NVIDIA is participating in.
Explore Generative AI Day sessions hosted by industry leaders or check out partner talks NVIDIA is participating in.
Develop your skills with training in AI, research, OpenUSD, and more by joining our hands-on labs, complimentary for the Full Conference and Experience attendees.
NVIDIA hosted lab experience is sponsored by MSI, a leader in innovative hardware to support your next AI idea.
Monday, July 29
10:00–11:30 a.m. MT
Encore Session: 12:30–2:00 p.m. MT
Explore the future of retail with spatial computing. You'll have the opportunity to create an application for the Apple Vision Pro (AVP) that allows users to configure a photoreal, 3D retail asset. This includes developing an application and setting it up to communicate with a product configurator built with the Omniverse Kit SDK and OpenUSD. You'll also learn how to implement custom Swift UI to interact with the virtual product in real time. By the end of this training, participants will be able to leverage advanced technologies to create immersive, interactive retail experiences.
Monday, July 29
9:00–11:00 a.m. MT
Foundation models (FMs) are pretrained AI models with vast potential for various natural language processing tasks, from language translation to sentiment analysis. Join this training lab, where we’ll explore the basics of foundation models, their significance, applications, and the latest developments in the field of AI.
Monday, July 29
12:00–2:00 p.m. MT
Semantic retrieval has become a common tool for helping to drive large language models toward data-grounded reasoning. However, naive techniques start to break down when non-textual inputs come into the picture. Instead of ignoring non-textual information, we’ll tackle multimodal document ingestion and retrieval.
Tuesday, July 30
9:00–11:00 a.m. MT
As AI continues to make its way into popular use, deep learning components from a wide range of disciplines are quickly getting incorporated into end-user applications, and emerging workflows that combine multiple seemingly disjoint models or input types are able to operate surprisingly well.
Tuesday, July 30
11:00 a.m.–1:00 p.m. MT
Interactive chatbots are gaining popularity in use across multiple industries, such as virtual assistants, customer service agents, sales support agents, and other applications. This training lab covers important topics to help users understand and implement their custom Digital Human.
Tuesday, July 30
1:00–2:00 p.m. MT
Join us for a workshop that introduces the concepts in fVDB and an interactive tutorial on getting started using it with PyTorch. The authors of fVDB will present some of the state-of-the-art research fVDB has enabled and familiarize you with all the technologies you’ll see when writing code for your own projects.
Tuesday, July 30
2:30–5:00 p.m. MT
Encore Session:
Wednesday, July 31
1:30–3:00 p.m. MT
Join us anytime during this drop-in workshop to learn about OpenUSD foundations, supported by our USD Code NIM. Whether you're new to OpenUSD or looking to enhance your skills, we encourage you to check out these self-guided courses. You'll learn the foundational concepts of OpenUSD, acquire basic Python programming skills relevant to OpenUSD, gain hands-on experience through practical exercises and real-world examples, and use USD Code to get answers and guidance as you progress.
*Self-paced
Wednesday, July 31
9:00–10:30 a.m. MT
This course on composition arcs is designed for developers and 3D artists looking to use OpenUSD’s powerful composition capabilities to create modular, scalable, and efficient 3D scenes. We'll cover the fundamental concepts of composition arcs, layers and layer stacks, references and payloads, variant sets, and debugging and introspection. By the end of this course, you'll have the skills to build and manage complex 3D scenes with ease.
Wednesday, July 31
11:00 a.m.–1:00 p.m. MT
In this course, we’ll cover the importance of asset structures in production environments, model hierarchies, and how to organize work streams with layer stacks and streamline collaborative workflows while optimizing performance. Anyone working with OpenUSD will be able to create scalable, modular, and high-performance scenes that facilitate collaboration, content reuse, and parallel work streams in any industry. This includes everything from manufacturing and digital twins, to production and animation, to retail and product design.
Wednesday, July 31
3:30–5:00 p.m. MT
Learn to make the most of your 3D workflows and development pipelines by joining us for a course on data exchange with OpenUSD. This course is designed for developers and 3D artists looking to optimize their existing 3D workflows by mastering the process of exchanging data between OpenUSD and other data formats. We’ll review the principles of conceptual data mapping, creating OpenUSD conversion scripts with Python, and going through asset validation and testing. By the end of this course, you'll be able to implement and manage data exchange processes between OpenUSD and your favorite DCC tools.
Thursday, August 1
2:15–3:15 p.m. MT
Using hands-on code samples, this lab will introduce the new physics simulation module based on the Simplicits method (published this SIGGRAPH), which allows running physics simulation over any 3D representation. Specifically, the lab will show how to set up a physics simulation of a 3D Gaussian Splat reconstruction, interact with it, and visualize it in a Jupyter Notebook in just a few lines of code. In addition, we'll walk the audience through code samples covering key features of Kaolin, such as differentiable rendering with PBR materials, consistent geometry imports into PyTorch, debugging and inspection of custom 3D render functions, and much more. Finally, we'll discuss how to use Kaolin Library API to connect 3D AI research to the live USD scene inside NVIDIA Omniverse, showing a released code sample for Diffusion Texture Painting.
Thursday, August 1
9:00–11:00 a.m. MT
As AI continues to make its way into popular use, deep learning components from a wide range of disciplines are quickly getting incorporated into end-user applications, and emerging workflows that combine multiple seemingly disjoint models or input types are able to operate surprisingly well.
Thursday, August 1
12:00–2:00 p.m. MT
Interactive chatbots are gaining popularity across multiple industries, such as virtual assistants, customer service agents, sales support agents, and other applications. This training lab covers important topics to help users understand and implement their custom Digital Human.
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