Dataset · Hugging Face

therealguangzhaohe/PersistBenchDataset

Name: PersistBenchDataset
Creator: therealguangzhaohe
License: cc-by-nc-4.0
Keywords: task_categories:image-to-video, task_categories:image-to-3d, language:en, license:cc-by-nc-4.0, size_categories:1K<n<10K, format:parquet, modality:image, modality:text, modality:video, library:datasets, library:pandas, library:polars, library:mlcroissant, arxiv:2609.20819, region:us

PersistBench: Can 4D Foundation Models Remember? NeurIPS 2026 Evaluations and Datasets (Spotlight) Guangzhao He, Hadar Averbuch-Elor*, Wei-Chiu Ma* ("*" denotes equal advising) Overview PersistBench is a dataset and evaluation suite for benchmarking visual memory in 4D foundation models, including camera-controlled video generators, video-to-360° video generators, and 4D reconstruction models. It uses 360° videos as reference observations to evaluate objects after… See the full description on the dataset page: https://huggingface.co/datasets/therealguangzhaohe/PersistBenchDataset.

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Author / organization	therealguangzhaohe
License (as declared)	cc-by-nc-4.0
Downloads	429 (as reported by Hugging Face)
Likes	2
Created	4 October 2026
Last updated at source	5 October 2026

benchmarkobject-permanencevisual-memorymotion-continuityappearance-preservation4d-foundation-modelsnovel-view-synthesisvideo-generation4d-reconstruction

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