{"url":"/dataset/unsynchronized-dynamic-blender-dataset","name":"Unsynchronized Dynamic Blender Dataset","full_name":null,"description_markdown":"Unsynchronized dynamic blender dataset for multi-view dynamic NeRFs for evaluating MAE between the predicted time offsets and the ground truth. It contains three unsyncrhonized scenes; box, deer, and fox.","description_withheld":null,"homepage":"https://drive.google.com/drive/folders/1wvLtucVrmFf7fj-kWr-HMk3boaI46cIX?usp=sharing","introduced_date":"2023-10-20","introduced_date_note":null,"introduced_by":{"paper":"/paper/sync-nerf-generalizing-dynamic-nerfs-to","title":"Sync-NeRF: Generalizing Dynamic NeRFs to Unsynchronized Videos","first_author":"Seoha Kim","url":null},"license":{"name":"CC-BY-NC 4.0","url":null},"modalities":[],"tasks":[],"languages":[],"variants":["Unsynchronized Dynamic Blender Dataset"],"data_loaders":[],"num_papers_in_archive":1,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[],"papers_with_a_benchmark_row":[],"syntology_totals":{"read_at":"2026-09-25T09:33:49+00:00","papers_with_samples":0,"samples_harvested":0,"samples_ran":0,"samples_unverified":0,"pointer_only_for_licence":0,"papers_with_no_sample_that_ran":0,"note":"the per-paper counts above, summed; not a rate"},"papers_note":"The archive never published its papers-using-dataset list; these are papers with a leaderboard row on this dataset's benchmarks."}