Kaan Oktay — accepted AI-conference papers

2026

Infinity-RoPE: Action-Controllable Infinite Video Generation Emerges From Autoregressive Self-Rollout

Hidir Yesiltepe, Tuna Meral, Adil Kaan Akan, Kaan Oktay, Pinar Yanardag

CVPR 2026

Current autoregressive video diffusion models are constrained by three core bottlenecks: (i) the finite temporal horizon imposed by the base model's 3D Rotary Positional Embedding (3D-RoPE), (ii) slow prompt responsiveness in maintaining fine-grained action control during long-form rollouts, and (ii

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2022

Retrieval-Augmented Diffusion Models

Andreas Blattmann, Robin Rombach, Kaan Oktay, Jonas Müller, Björn Ommer

NeurIPS 2022accept

Novel architectures have recently improved generative image synthesis leading to excellent visual quality in various tasks. Much of this success is due to the scalability of these architectures and hence caused by a dramatic increase in model complexity and in the computational resources invested in…

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