Graphics & multimedia
Advancing how digital images, video, and 3D experiences are created, processed, and experienced.
World and Human Action Models towards gameplay ideation (Supplementary Video 1)
Supplementary Video 1 provided with the article “World and Human Action Models towards gameplay ideation” (Kanervisto et al. 2025, https://www.nature.com/articles/s41586-025-08600-3 (opens in new tab)). We show video case studies of WHAM-generated gameplay sequences that demonstrate…
WHAM Demonstrator tutorial
Introducing Muse, our World and Human Action Model (WHAM). Muse is a generative AI model of a video game that can generate game visuals, controller actions, or both. It can predict how the game will…
Introducing Muse: Our first generative AI model designed for gameplay ideation
Today Nature published Microsoft’s research detailing our WHAM, an AI model that generates video game visuals & controller actions. We are releasing the model weights, sample data, & WHAM Demonstrator on Azure AI Foundry, enabling…
ε-VAE: Denoising as Visual Decoding
GASP: Gaussian Avatars with Synthetic Priors
GASP: Gaussian Avatars with Synthetic Priors
Gaussian Splatting has changed the game for real-time photo-realistic rendering. One of the most popular applications of Gaussian Splatting is to create animatable avatars, known as Gaussian Avatars. Recent works have pushed the boundaries of…
