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Achieve state-of-the-art image generation quality at a fraction of the compute cost by dynamically adapting tokenization to visual complexity.
The Feature Recovery Module (FRM), a plug-and-play module that maps degraded encoder features to pristine-aligned representations while keeping the host frozen, is proposed, which improves scene-level detection, CLIP/SigLIP2 feature recovery, and all four object-level VLM tasks, with larger gains under more severe degradation.