{"url":"/dataset/synthetic-soccer-nerf-dataset","name":"Synthetic Soccer NeRF Dataset","full_name":null,"description_markdown":"Synthetic dataset comprising three different environments for multi-camera dynamic novel view synthesis for soccer. This dataset is made compatible for Nerfstudio, and includes data parsers with various settings to reproduce the settings of our paper \"Dynamic NeRFs for Soccer Scenes\" and more. \r\n\r\nThe data consists of 3 synthetic scenes built using Blender. Each scene contains from 20 to 30 synchronized and calibrated cameras that capture a 4-second long scene at 25 FPS. For each scene, the downloadable data consists of images and corresponding poses. These are ready to use either with our code, either with Nerfstudio using the slightly different data parsers available in this folder.\r\n\r\nPlease contact the corresponding author (sacha.lewin@uliege.be) if you need the Blender scenes.","description_withheld":null,"homepage":"https://github.com/iSach/SoccerNeRFs/tree/master/data","introduced_date":"2023-09-13","introduced_date_note":null,"introduced_by":{"paper":"/paper/dynamic-nerfs-for-soccer-scenes","title":"Dynamic NeRFs for Soccer Scenes","first_author":"Sacha Lewin","url":null},"license":{"name":"MIT License","url":null},"modalities":[{"name":"Images","url":"/datasets/modality/images"},{"name":"Videos","url":"/datasets/modality/videos"},{"name":"3D","url":"/datasets/modality/3d"}],"tasks":[{"name":"Novel View Synthesis","url":"/task/novel-view-synthesis","datasets_with_task":"/datasets/task/novel-view-synthesis"},{"name":"Multi-View 3D Reconstruction","url":"/task/multi-view-3d-reconstruction","datasets_with_task":"/datasets/task/multi-view-3d-reconstruction"}],"languages":[{"name":"English","url":"/datasets/language/english"}],"variants":["Synthetic Soccer NeRF 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":"2026-09-24T18:15:14+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."}