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metadata
pretty_name: RememBench
license: cc-by-4.0
language:
  - en
task_categories:
  - text-to-video
  - image-to-video
tags:
  - arxiv:2610.02153
  - benchmark
  - video-generation
  - long-horizon
  - memory
size_categories:
  - n<1K
configs:
  - config_name: t2v
    data_files:
      - split: test
        path: data/t2v/test.jsonl
  - config_name: i2v
    data_files:
      - split: test
        path: data/i2v/test.jsonl

RememBench

A benchmark for long-horizon revisit consistency in autoregressive video generation, introduced in MosaiChunk.

Project page · Paper · Code · Checkpoints · Video Viewer

Data

Subset Scenes Inputs Contents
t2v 100 100 Four-segment prompts, timing, and seeds
i2v 150 750 Initial-frame sources, scene prompts, camera trajectories, and seeds

Both subsets use the test split. I2V contains 50 indoor and 100 outdoor scenes. All scenes have 90°, 180°, and 360° rotations; outdoor scenes also have rotation with translation.

DL3DV initial frames are retrieved using the provided preparation script and are not bundled here.

Usage

from datasets import load_dataset

t2v = load_dataset("mosaichunk/RememBench", "t2v", split="test")
i2v = load_dataset("mosaichunk/RememBench", "i2v", split="test")

Seeds are stored as strings; use int(sample["seed"]) when generating videos.

Download, image preparation, data formats, and evaluation

CLIP and LPIPS measure departure–revisit consistency. Included T2V frame annotations describe the paper's rollouts; new rollouts require their own revisit annotations.

License

RememBench is released under CC BY 4.0. DL3DV images are not redistributed and remain subject to the DL3DV Terms of Use.

Citation

@misc{zhang2026mosaichunkcompositingspatiotemporalmemory,
      title={MosaiChunk: Compositing Spatio-Temporal Memory for Autoregressive Video Generation},
      author={Yiwen Zhang and Haocheng Xi and Michael Tian-Yue Liu and Alexei A. Efros and Hadar Averbuch-Elor and Qianqian Wang and Haiwen Feng},
      year={2026},
      eprint={2610.02153},
      archivePrefix={arXiv},
      primaryClass={cs.CV},
      url={https://arxiv.org/abs/2610.02153},
}