The World Across Time (WAT) dataset used in paper "CLNeRF: Continual Learning Meets NeRF". It contains multiple colmap reconstructed scenes used for continual learning of NeRFs. For each scene, we provide multiple scans captured at different time where the same scene has different appearance and geometry conditions. Please refer to our video (https://youtu.be/nLRt6OoDGq0) or github repo (https://github.com/IntelLabs/CLNeRF) for further details and how to use this dataset.
This content is provided in support of our paper, CLNeRF: Continual Learning Meets NeRF, accepted by the IEEE/CVF International Conference on Computer Vision (ICCV) 2023. This content is provided here for research purposes only and the dataset(s) used is licensed under CC BY-NC 4.0. By accessing the dataset(s), you agree to the terms associated with those datasets and that your use complies with the applicable license. Any use beyond this is your sole responsibility and subject to your securing the necessary rights for your purpose.
Intel is not liable for any errors, omissions, or defects in the data, or for any reliance on the data.
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