BAAIapache-2.0

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A benchmark for instruction-conditional image-to-image generation grounded in real-world robot, egocentric, and third-person interaction data. Given an initial-state image and a natural-language instruction, models predict the target-state image resulting from the instructed action.

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Technical Profile

Modalities
rgblanguage
Robot Embodiments
AgiBotunspecified
Environment
labhome
Task Types
manipulationimage-to-image generation
License
apache-2.0
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