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Generalizable Novel View Synthesis datasets

archive 2025-07-28

7 datasets carry the task tag "Generalizable Novel View Synthesis" (the task itself: Generalizable Novel View Synthesis), ordered by the archive's paper count. Page 1 of 1: 7 shown of 7. Facet routes are this site's own (the archive records the tag string, not a page).

The archive holds 12,214 dataset rows; 12,172 are listed. 6 are withheld from every listing and count here as vandalised before snapshot (6 with contact-centre spam in the title, 0 with a spam description on a row that has no homepage, no paper and no papers counted; none with more than 1 paper, 0 with a benchmark), listed in withheld.json; 1 listed row carries a vandalised description, withheld on its page. This gate never withholds a row with a homepage or a paper that resolves, and a clean description; the content rules below withhold a row whose name is spam whatever else it carries. The gate is a phrase list: these are the rows it caught, not a claim that the rest is clean. Before that gate, the site's content rules withhold 36 more rows (invite-code, gambling, travel-booking, contact-centre and similar spam in the name or on a row with nothing real behind it); they have no page and are listed in withheld.json.

Filter 51 task tags shown of 3,717, by dataset count; the full filter by modality, task and language is on /datasets

Generalizable Novel View Synthesis datasets 1–7 of 7

LLFF (Local Light Field Fusion)
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.
340 papers · 4 benchmarks
ACID (Aerial Coastline Imagery Dataset)
ACID consists of thousands of aerial drone videos of different coastline and nature scenes on YouTube.
41 papers · 1 benchmark
We introduce our new dataset, Spaces, to provide a more challenging shared dataset for future view synthesis research.
32 papers · 0 benchmarks
The shiny folder contains 8 scenes with challenging view-dependent effects used in our paper.
17 papers · 0 benchmarks
RealEstate10K is a large dataset of camera poses corresponding to 10 million frames derived from about 80,000 video clips, gathered from about 10,000 YouTube videos.
14 papers · 1 benchmark
ZJU-MoCap (ZJU-MoCap Dataset)
LightStage is a multi-view dataset, which is proposed in NeuralBody.
8 papers · 0 benchmarks
NERDS 360 (NeRF for Reconstruction, Decomposition and Scene Synthesis of 360° outdoor scenes)
We present a large-scale dataset for 3D urban scene understanding.
5 papers · 0 benchmarks

Paper counts and descriptions are the archive's, frozen 2025-07-28; no citation counts, no stars, no trending. Sorting by "most cited" or "newest" was a live-site feature the archive does not carry.