{"url":"/dataset/refref","name":"RefRef","full_name":"RefRef: A Synthetic Dataset and Benchmark for Reconstructing Refractive and Reflective Objects","description_markdown":"RefRef is a synthetic dataset and benchmark designed for the task of reconstructing scenes with complex refractive and reflective objects.\r\nOur dataset consists of 50 objects categorized based on their geometric and material complexity: single-material convex objects, single-material non-convex objects, and multi-material non-convex objects, where the materials have different colors, opacities, and refractive indices.\r\nEach object is placed in three distinct bounded environments and one unbounded environment, resulting in 150 unique scenes with diverse geometries, material properties, and backgrounds.\r\nOur dataset provides a controlled setting for evaluating and developing 3D reconstruction and novel view synthesis methods that handle complex optical effects.","description_withheld":null,"homepage":"https://huggingface.co/datasets/yinyue27/RefRef","introduced_date":"2025-04-27","introduced_date_note":null,"introduced_by":{"paper":"/paper/refref-a-synthetic-dataset-and-benchmark-for","title":"RefRef: A Synthetic Dataset and Benchmark for Reconstructing Refractive and Reflective Objects","first_author":"Yue Yin","url":null},"license":{"name":"apache-2.0","url":null},"modalities":[{"name":"Images","url":"/datasets/modality/images"},{"name":"3D","url":"/datasets/modality/3d"}],"tasks":[{"name":"3D Reconstruction","url":"/task/3d-reconstruction","datasets_with_task":"/datasets/task/3d-reconstruction"},{"name":"Novel View Synthesis","url":"/task/novel-view-synthesis","datasets_with_task":"/datasets/task/novel-view-synthesis"}],"languages":[{"name":"English","url":"/datasets/language/english"}],"variants":["RefRef"],"data_loaders":[],"num_papers_in_archive":5,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/novel-view-synthesis-on-refref","task":"Novel View Synthesis","dataset_variant":"RefRef","rows":8,"metrics":["Average PSNR (dB)"],"first_row_in_archive_order":{"model":"R3F-Oracle","paper":"/paper/refref-a-synthetic-dataset-and-benchmark-for","metrics":{"Average PSNR (dB)":"29.34"},"code_links":[{"title":"yueyin27/refref","url":"https://github.com/yueyin27/refref"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/refref-a-synthetic-dataset-and-benchmark-for","title":"RefRef: A Synthetic Dataset and Benchmark for Reconstructing Refractive and Reflective Objects","date":"2025-05-09","rows_on_this_dataset":2,"code_links":1,"syntology":null},{"paper":"/paper/differentiable-neural-surface-refinement-for","title":"Differentiable Neural Surface Refinement for Modeling Transparent Objects","date":"2024-01-01","rows_on_this_dataset":1,"code_links":0,"syntology":null},{"paper":"/paper/zip-nerf-anti-aliased-grid-based-neural","title":"Zip-NeRF: Anti-Aliased Grid-Based Neural Radiance Fields","date":"2023-04-13","rows_on_this_dataset":1,"code_links":1,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":5,"samples_ran":2,"samples_unverified":3,"pointer_only_for_licence":0,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}},{"paper":"/paper/nerfstudio-a-modular-framework-for-neural","title":"Nerfstudio: A Modular Framework for Neural Radiance Field Development","date":"2023-02-08","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":0,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}},{"paper":"/paper/neus-learning-neural-implicit-surfaces-by","title":"NeuS: Learning Neural Implicit Surfaces by Volume Rendering for Multi-view Reconstruction","date":"2021-06-20","rows_on_this_dataset":1,"code_links":7,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":16,"samples_ran":8,"samples_unverified":8,"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":22,"samples_ran":11,"samples_unverified":11,"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."}