{"url":"/dataset/deep-blending","name":"Deep Blending","full_name":null,"description_markdown":"The Deep Blending Dataset comprises 19 diverse scenes, offering comprehensive resources for free-viewpoint image-based rendering (IBR). Each scene includes input images, COLMAP reconstructions (SfM & MVS), global textured meshes from RealityCapture, refined depth maps, per-view meshes, and camera poses. This dataset is ideal for training and evaluating novel view synthesis and blending algorithms in both indoor and outdoor environments.","description_withheld":null,"homepage":"","introduced_date":null,"introduced_date_note":null,"introduced_by":null,"license":null,"modalities":[],"tasks":[{"name":"Novel View Synthesis","url":"/task/novel-view-synthesis","datasets_with_task":"/datasets/task/novel-view-synthesis"}],"languages":[],"variants":[],"data_loaders":[],"num_papers_in_archive":2,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/novel-view-synthesis-on-deep-blending","task":"Novel View Synthesis","dataset_variant":"Deep Blending","rows":1,"metrics":["LPIPS","PSNR","SSIM","Size (MB)"],"first_row_in_archive_order":{"model":"Self-Organizing Gaussians","paper":"/paper/compact-3d-scene-representation-via-self","metrics":{"LPIPS":"0.258","PSNR":"30.35","SSIM":"0.909","Size (MB)":"16.8"},"code_links":[{"title":"facebookresearch/uco3d","url":"https://github.com/facebookresearch/uco3d"},{"title":"fraunhoferhhi/Self-Organizing-Gaussians","url":"https://github.com/fraunhoferhhi/Self-Organizing-Gaussians"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/compact-3d-scene-representation-via-self","title":"Compact 3D Scene Representation via Self-Organizing Gaussian Grids","date":"2023-12-19","rows_on_this_dataset":1,"code_links":2,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":1,"samples_ran":1,"samples_unverified":0,"pointer_only_for_licence":1,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}}],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":1,"samples_harvested":1,"samples_ran":1,"samples_unverified":0,"pointer_only_for_licence":1,"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."}