ReImaGin uses image generation as visual chain-of-thought, up to 25% gains on six reasoning tasks
MAI-Lab · hf · 2026-09-30
ReImaGin proposes using image generation models as a flexible visual reasoning mechanism for multimodal LLMs. Unlike rigid expert tools (depth estimation, object detection), generative models take natural-language commands and perform open-ended visual operations — removing occlusions, synthesizing floorplans from disjoint room views. Across six visual reasoning tasks including multi-view spatial reasoning and collision prediction, it consistently beats text-only reasoning and specialist-tool baselines, with gains up to 25%.
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