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cs.CV2024
AVID: Adapting Video Diffusion Models to World Models
Marc Rigter, Tarun Gupta, Agrin Hilmkil +1
Large-scale generative models have achieved remarkable success in a number of domains. However, for sequential decision-making problems, such as robotics, action-labelled data is o…
cs.CV2024
A Simple Approach to Unifying Diffusion-based Conditional Generation
Xirui Li, Charles Herrmann, Kelvin C. K. Chan +4
Recent progress in image generation has sparked research into controlling these models through condition signals, with various methods addressing specific challenges in conditional…