SEED - Official Website

SEED is a pioneering group within Electronic Arts, combining creativity with applied research.
We explore, build, and help determine the future of interactive entertainment.

Research & Announcements

SEED's Adventure in Gameplay Innovation

SEED

Sep 13, 2024

SEED is branching out into the world of game mechanics, storytelling magic, and interactive wonders.

A Position-Based Material Point Method

SEED

Aug 29, 2024

A novel formulation of Material Point Method that is stable at any time-step, and significantly improves the utility of MPM for real-time applications.

Gigi: Rapid Prototyping Platform for Real-Time Rendering

SEED

Aug 22, 2024

Gigi allows you to create rendering techniques as a node graph in a visual editor and generate code for them automatically.

EA Presents at SIGGRAPH 2024 With SEED, Frostbite, and EA SPORTS.

Electronic Arts Inc., SEED, Frostbite

Jul 29, 2024

Contributors from SEED, Frostbite, and EA SPORTS share exciting advancements at SIGGRAPH 2024. See the preview here.

Improving Generalization in Game Agents with Imitation Learning

SEED

Jul 16, 2024

How do we efficiently train in-game AI agents to handle new situations that they haven’t been trained on?

Towards Optimal Training Distribution for Photo-to-Face Models

SEED

Jul 8, 2024

How do we best construct game avatars from photos? This presentation discusses a work in progress with an optimized view of the training data.

Incorporating ML Research Into Audio Production: ExFlowSions Case Study

SEED

Jun 25, 2024

Mónica Villanueva and Jorge García present the challenges and lessons learned from turning a machine learning generative model from a research project into a game production tool.

Beyond White Noise for Real-Time Rendering

SEED

May 14, 2024

SEED’s Alan Wolfe discusses the use of different types of noise for random number generation, focusing on the application of blue noise in rendering images for gaming.

Evaluating Gesture Generation in a Large-Scale Open Challenge

SEED

May 9, 2024

This paper, published in Transactions on Graphics, reports on the second GENEA Challenge, a project to benchmark data-driven automatic co-speech gesture generation.