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See, Imagine, Plan: Discovering and Hallucinating Tasks from a Single Image
March 21, 2024, 4:45 a.m. | Chenyang Ma, Kai Lu, Ta-Ying Cheng, Niki Trigoni, Andrew Markham
cs.CV updates on arXiv.org arxiv.org
Abstract: Humans can not only recognize and understand the world in its current state but also envision future scenarios that extend beyond immediate perception. To resemble this profound human capacity, we introduce zero-shot task hallucination -- given a single RGB image of any scene comprising unknown environments and objects, our model can identify potential tasks and imagine their execution in a vivid narrative, realized as a video. We develop a modular pipeline that progressively enhances scene …
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