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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