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Few-Shot Image Classification · benchmark dataset · EN

DL3DV Benchmark (140 scenes).

DL3DV Benchmark (140 scenes) is a curated in-domain novel-view-synthesis (NVS) benchmark sampled from the DL3DV-10K dataset. It contains 140 real-world scenes (images + camera poses) together with Colmap reconstructions and scene labels, formatted to be compatible with NeRF toolchains (e.g., nerfstudio) and 3D Gaussian Splatting workflows. The repo also ships README/license information and reported baseline results from the DL3DV paper (e.g., ZipNeRF, 3DGS, MipNeRF-360, nerfacto, Instant-NGP). The subset is intended for feed-forward novel view synthesis evaluation and generalizable NeRF / 3D generation research. The dataset on Hugging Face is gated (terms-of-use required) and provides download instructions and a benchmark preview (DL3DV-Benchmark-Preview).

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  • 01A public checkpoint or API endpoint
  • 02A reproduction script with frozen commit + seed
  • 03Declared evaluation environment (Python, deps)
  • 04One row per metric declared by this dataset
  • 05A contact so we can follow up on discrepancies