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From the 1 of 5 linked papers with an AI index.

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5 papers

cs.LG2026

Concurrent Image Understanding and Generation: Self-Correcting Coupled Markov Jump Processes

Minh-Quan Le, Armand Comas, Alexandros Lattas +7

The paper proposes a self‑correcting framework called SC‑CMJP that couples image understanding and generation via cross‑modal attention in masked diffusion models, and introduces a…

cs.CV2026

Gen4U: Unifying Video Generation and Understanding via Diffusion

Michael King, Aravindh Mahendran, Matthew Koichi Grimes +5

Prior work suggests that diffusion representations capture low-level geometry but struggle with high-level semantics. We demonstrate that state-of-the-art video diffusion models ov…

cs.CV2026

Frozen Forecasting: A Unified Evaluation

Jacob C Walker, Pedro Vélez, Luisa Polania Cabrera +7

Forecasting future events is a fundamental capability for general-purpose systems that plan or act across different levels of abstraction. Yet, evaluating whether a forecast is "co…

cs.CV2025

Scaling 4D Representations

João Carreira, Dilara Gokay, Michael King +32

Scaling has not yet been convincingly demonstrated for pure self-supervised learning from video. However, prior work has focused evaluations on semantic-related tasks $\unicode{x20…

cs.CV2025

From Image to Video: An Empirical Study of Diffusion Representations

Pedro Vélez, Luisa F. Polanía, Yi Yang +4

Diffusion models have revolutionized generative modeling, enabling unprecedented realism in image and video synthesis. This success has sparked interest in leveraging their represe…