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.
We use cookies for essential functionality and analytics. You can accept or reject analytics cookies.Cookie policy