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Denoising Hierarchical Representations: Joint Continuous Diffusion for Language Modeling
Mathias Ollu, Nikos Komodakis
Diffusion Language Models (DLMs) hold the promise of order-agnostic, parallel text generation. Recently, continuous diffusion and flow matching models have seen substantial gains,…
Latent-Foresight: End-to-End Learning Predictable Representations for Latent World Models
Efstathios Karypidis, Spyros Gidaris, Nikos Komodakis
Predicting the future evolution of a scene is a fundamental capability for world modeling. Recent work has shown that operating in the feature space of Vision Foundation Models (VF…
Coevolving Representations in Joint Image-Feature Diffusion
Theodoros Kouzelis, Spyros Gidaris, Nikos Komodakis
Joint image-feature generative modeling has recently emerged as an effective strategy for improving diffusion training by coupling low-level VAE latents with high-level semantic fe…