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EmbodiedRestore Paired robotic first-frame observations (low-quality / ground-truth) under 25 distortions from the TID2013 / KADID-10k taxonomy, evaluated by three policies (π0.5, π0, OpenVLA). Built for benchmarking image restoration / IQA on robot-observation distributions, with downstream policy success rates(SR) and steps to successas(StS) as secondary signals. To promote the development of image restoration model for robot vision systems, we will continue to maintain this… See the full description on the dataset page: https://huggingface.co/datasets/qruisjtu/EmbodiedRestore.
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Last synced 6/14/2026
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