Selected papers | Runway Research
Predicting and anticipating future outcomes or reasoning about missing information in a sequence are critical skills for agents to be able to make intelligent decisions. This requires strong, temporally …
The research origins of Stable Diffusion - Runway
Oct 5, 2022 · Patrick Esser is a Principal Research Scientist at Runway, leading applied research efforts including the core model behind Stable Diffusion, otherwise known as High-Resolution Image …
Runway Acceleration Program | Runway Research
The Runway Acceleration Program is a full-time, paid position that starts with a 3-month intensive venture dedicated to fostering engineers, propelling them into accomplished machine learning …
Behind The Scenes: Understanding video object segmentation (VOS)
Behind The Scenes: Understanding video object segmentation (VOS) Reimagining creativity with artificial intelligence.
All Publications - RunwayML
Patrick Esser, Jonathan Granskog, Johnathan Chiu, Parmida Atighehchian, Anastasis Germanidis
Building a web-based real-time video editing tool with machine
May 24, 2021 · Our mission at Runway is to build the next generation of creative tools, powered by machine learning. This week we released Green Screen, a tool for cutting objects out of videos. This …
High-Resolution Image Synthesis with Latent Diffusion Models
By decomposing the image formation process into a sequential application of denoising autoencoders, diffusion models (DMs) achieve state-of-the-art synthesis results on image data and beyond. …