publications by categories in reversed chronological order. generated by jekyll-scholar.
2026
Preprint
Waypoint-1.5: A Real-Time Video World Model for Consumer Hardware
Rajit Rajpal, Shahbuland Matiana, Liew Wei Pyn, Anmol Agarwal, Ryan Craig, Andrew Lapp, Mithun Hunsur, Sami BuGhanem, Scottie Fox, Aaron Sanders, Carson Poole, Irene Park, David Rossi, Spencer Frazier, and Louis Castricato
Waypoint-1.5 is a real-time diffusion world model for interactive video generation on consumer-grade hardware. Pre-trained on 100,000 hours of diverse, control-aligned video game data, it generates playable video conditioned on full keyboard and mouse input, with two resolution variants that run across a wide spectrum of consumer hardware.
@misc{rajpal2026waypoint,title={Waypoint-1.5: A Real-Time Video World Model for Consumer Hardware},author={Rajpal, Rajit and Matiana, Shahbuland and {Liew Wei Pyn} and Agarwal, Anmol and Craig, Ryan and Lapp, Andrew and Hunsur, Mithun and BuGhanem, Sami and Fox, Scottie and Sanders, Aaron and Poole, Carson and Park, Irene and Rossi, David and Frazier, Spencer and Castricato, Louis},year={2026},organization={Overworld},note={Preprint. * denotes equal contribution.},}
2025
ICCV-W
COMBAT: Conditional World Models for Behavioral Agent Training
Anmol Agarwal, Pranay Meshram, Sumer Singh, Saurav Suman, Andrew Lapp, Shahbuland Matiana, Louis Castricato, and Spencer Frazier
In 1st Workshop on Reliable and Interactive World Models in Computer Vision (RIWM), ICCV, 2025
COMBAT is a conditional world model that learns a reactive opponent’s tactical policy as an emergent property by training a real-time diffusion model on the 1v1 fighting game Tekken 3, demonstrating the ability to simulate an opponent that reacts to player actions.
@inproceedings{agarwal2025combat,title={COMBAT: Conditional World Models for Behavioral Agent Training},author={Agarwal, Anmol and Meshram, Pranay and Singh, Sumer and Suman, Saurav and Lapp, Andrew and Matiana, Shahbuland and Castricato, Louis and Frazier, Spencer},booktitle={1st Workshop on Reliable and Interactive World Models in Computer Vision (RIWM), ICCV},year={2025},note={Non-archival},}