DecMem: Towards Minute-Long Consistent World Generation with Decoupled Memory
Summary
DecMem introduces a decoupled memory architecture with Sparse Global Memory and Anchored Local Memory to achieve consistent minute-long video generation, outperforming state-of-the-art methods.
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Paper page - DecMem: Towards Minute-Long Consistent World Generation with Decoupled Memory
Source: https://huggingface.co/papers/2605.31336
Abstract
A novel decoupled memory architecture called DecMem is introduced for consistent long-horizon video generation, addressing computational inefficiency and attention dispersion issues in learnable memory systems.
Recent advances invideo generative modelshave promoted rapid progress in controllableworld models. However, maintaining fine-grainedspatio-temporal consistencyunderlong-horizon reasoningremains a key challenge. In this work, we move beyond explicit 3D memory and coarse frame-level implicit modeling, and propose a fine-grained, learnable, and scalable memory for consistent world generation. We first identify two fundamental limitations of naïvelearnable memoryarchitectures in long-horizonextrapolation, namely computational inefficiency andattention dispersion. Through a systematic analysis ofattention dispersion, we propose DecMem, a decoupled memory architecture that employsSparse Global Memoryfor efficient fine-grained access to global history andAnchored Local Memoryfor stable and high-qualityextrapolation. Extensive experiments demonstrate that DecMem significantly outperforms current state-of-the-art methods. By ensuring precise and efficient long-term memory and achieving superiorextrapolationcapabilities, DecMem enables minute-level controllable longvideo generationwith high fidelity and consistency.
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