 
            <p class="paper-tldr"><strong>TLDR</strong>: The paper introduces MVAR, a novel autoregressive framework for visual generation that uses scale and spatial Markov assumptions to reduce computational complexity and GPU memory consumption, achieving comparable or superior performance on ImageNet with reduced resources.</p>
            
            
            <p class="paper-tldr"><strong>TLDR</strong>: 该论文介绍了一种名为 MVAR 的新型自回归框架，用于视觉生成。该框架