3 papers
cs.CV2025
StateSpaceDiffuser: Bringing Long Context to Diffusion World Models
Nedko Savov, Naser Kazemi, Deheng Zhang +3
World models have recently gained prominence for action-conditioned visual prediction in complex environments. However, relying on only a few recent observations causes them to los…
cs.CV2025
Exploration-Driven Generative Interactive Environments
Nedko Savov, Naser Kazemi, Mohammad Mahdi +3
Modern world models require costly and time-consuming collection of large video datasets with action demonstrations by people or by environment-specific agents. To simplify trainin…
cs.CV2024
Learning Generative Interactive Environments By Trained Agent Exploration
Naser Kazemi, Nedko Savov, Danda Paudel +1
World models are increasingly pivotal in interpreting and simulating the rules and actions of complex environments. Genie, a recent model, excels at learning from visually diverse…