{"url":"/dataset/iisc-veed-dynamic","name":"IISc VEED-Dynamic","full_name":"Indian Institute of Science Virtual Environment Exploration Database for Dynamic Scenes","description_markdown":"**IISc VEED-Dynamic** consists of 200 diverse indoor and outdoor scenes (see samples below). The videos are rendered using blender and the blend files obtained for the scenes are mainly from blendswap and turbosquid. 4 different camera trajectories are added to each scene and thus we have a total of 800 videos. Motion is added to pre-existing objects in the scene or new objects are added and animated. The videos are rendered at full HD resolution (1920 x 1080) and at 30fps and contain 12 frames each.\r\n\r\nSource: [Temporal View Synthesis of Dynamic Scenes through 3D Object Motion Estimation with Multi-Plane Images](https://nagabhushansn95.github.io/publications/2022/DeCOMPnet.html#database)","description_withheld":null,"homepage":"https://nagabhushansn95.github.io/publications/2022/DeCOMPnet.html#database","introduced_date":"2022-08-19","introduced_date_note":null,"introduced_by":{"paper":"/paper/temporal-view-synthesis-of-dynamic-scenes","title":"Temporal View Synthesis of Dynamic Scenes through 3D Object Motion Estimation with Multi-Plane Images","first_author":"Nagabhushan Somraj","url":null},"license":{"name":"Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License","url":"https://creativecommons.org/licenses/by-nc-nd/4.0/"},"modalities":[],"tasks":[{"name":"Temporal View Synthesis","url":"/task/temporal-view-synthesis","datasets_with_task":"/datasets/task/temporal-view-synthesis"}],"languages":[],"variants":["IISc VEED-Dynamic"],"data_loaders":[],"num_papers_in_archive":2,"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."}