{"url":"/dataset/llff","name":"LLFF","full_name":"Local Light Field Fusion","description_markdown":"Local Light Field Fusion (LLFF) is a practical and robust deep learning solution for capturing and rendering novel views of complex real-world scenes for virtual exploration. The dataset consists of both renderings and real images of natural scenes. The synthetic images are rendered from the SUNCG and UnrealCV where SUNCG contains 45000 simplistic house and room environments with texture-mapped surfaces and low geometric complexity. UnrealCV contains a few large-scale environments modeled and rendered with extreme detail. The real images are 24 scenes captured from a handheld cellphone.","description_withheld":null,"homepage":"https://bmild.github.io/llff/","introduced_date":"2019-05-02","introduced_date_note":null,"introduced_by":{"paper":"/paper/local-light-field-fusion-practical-view","title":"Local Light Field Fusion: Practical View Synthesis with Prescriptive Sampling Guidelines","first_author":"Ben Mildenhall","url":null},"license":null,"modalities":[],"tasks":[{"name":"Novel View Synthesis","url":"/task/novel-view-synthesis","datasets_with_task":"/datasets/task/novel-view-synthesis"},{"name":"Generalizable Novel View Synthesis","url":"/task/generalizable-novel-view-synthesis","datasets_with_task":"/datasets/task/generalizable-novel-view-synthesis"},{"name":"3D Shape Reconstruction From A Single 2D Image","url":"/task/3d-shape-reconstruction-from-a-single-2d","datasets_with_task":"/datasets/task/3d-shape-reconstruction-from-a-single-2d"},{"name":"3D scene Editing","url":"/task/3d-scene-editing","datasets_with_task":"/datasets/task/3d-scene-editing"},{"name":"3D Object Editing","url":"/task/3d-object-editing","datasets_with_task":"/datasets/task/3d-object-editing"}],"languages":[],"variants":["LLFF"],"data_loaders":[{"repo":"https://github.com/bmild/nerf","url":"https://github.com/bmild/nerf","frameworks":["pytorch"]}],"num_papers_in_archive":340,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/novel-view-synthesis-on-llff","task":"Novel View Synthesis","dataset_variant":"LLFF","rows":15,"metrics":["PSNR","LPIPS","SSIM"],"first_row_in_archive_order":{"model":"TensoRF + NeRFLiX","paper":"/paper/nerflix-high-quality-neural-view-synthesis-by","metrics":{"LPIPS":"0.149","PSNR":"27.39","SSIM":"0.867"},"code_links":[{"title":"redrock303/NeRFLiX_CPVR2023","url":"https://github.com/redrock303/NeRFLiX_CPVR2023"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"},{"leaderboard":"/sota/3d-object-editing-on-llff","task":"3D Object Editing","dataset_variant":"LLFF","rows":1,"metrics":["CLIP"],"first_row_in_archive_order":{"model":"CE3D","paper":"/paper/chat-edit-3d-interactive-3d-scene-editing-via","metrics":{"CLIP":"0.9"},"code_links":[{"title":"Fangkang515/CE3D","url":"https://github.com/Fangkang515/CE3D"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"},{"leaderboard":"/sota/3d-scene-editing-on-llff","task":"3D scene Editing","dataset_variant":"LLFF","rows":1,"metrics":["CLIP"],"first_row_in_archive_order":{"model":"CE3D","paper":"/paper/chat-edit-3d-interactive-3d-scene-editing-via","metrics":{"CLIP":"0.99"},"code_links":[{"title":"Fangkang515/CE3D","url":"https://github.com/Fangkang515/CE3D"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"},{"leaderboard":"/sota/3d-shape-reconstruction-from-a-single-2d-1","task":"3D Shape Reconstruction From A Single 2D Image","dataset_variant":"LLFF","rows":1,"metrics":["CLIP"],"first_row_in_archive_order":{"model":"Chat-Edit-3D","paper":"/paper/chat-edit-3d-interactive-3d-scene-editing-via","metrics":{"CLIP":"0.9"},"code_links":[{"title":"Fangkang515/CE3D","url":"https://github.com/Fangkang515/CE3D"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/chat-edit-3d-interactive-3d-scene-editing-via","title":"Chat-Edit-3D: Interactive 3D Scene Editing via Text Prompts","date":"2024-07-09","rows_on_this_dataset":3,"code_links":1,"syntology":null},{"paper":"/paper/nerflix-high-quality-neural-view-synthesis-by","title":"NeRFLiX: High-Quality Neural View Synthesis by Learning a Degradation-Driven Inter-viewpoint MiXer","date":"2023-03-13","rows_on_this_dataset":2,"code_links":1,"syntology":null},{"paper":"/paper/k-planes-explicit-radiance-fields-in-space","title":"K-Planes: Explicit Radiance Fields in Space, Time, and Appearance","date":"2023-01-24","rows_on_this_dataset":4,"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":0,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}},{"paper":"/paper/hyperreel-high-fidelity-6-dof-video-with-ray","title":"HyperReel: High-Fidelity 6-DoF Video with Ray-Conditioned Sampling","date":"2023-01-05","rows_on_this_dataset":5,"code_links":1,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":11,"samples_ran":7,"samples_unverified":4,"pointer_only_for_licence":0,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}},{"paper":"/paper/mobilenerf-exploiting-the-polygon","title":"MobileNeRF: Exploiting the Polygon Rasterization Pipeline for Efficient Neural Field Rendering on Mobile Architectures","date":"2022-07-30","rows_on_this_dataset":4,"code_links":1,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":9,"samples_ran":0,"samples_unverified":9,"pointer_only_for_licence":0,"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":3,"samples_harvested":21,"samples_ran":8,"samples_unverified":13,"pointer_only_for_licence":0,"papers_with_no_sample_that_ran":1,"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."}