Announcement_24

One paper accepted by ACM MM’26. MIGM-Shortcut accelerates masked image generation by learning latent controlled dynamics: instead of running the heavy base model at every sampling step, it uses a lightweight shortcut model to predict feature evolution from previous features and newly sampled tokens. Applied to MaskGIT and Lumina-DiMOO, MIGM-Shortcut greatly improves the quality-speed trade-off and achieves over 4x acceleration on Lumina-DiMOO while maintaining generation quality. [Homepage] [Paper].