OPIS: An Input-Grounded Benchmark for Multi-Object Memory in Video World Models

arXiv:2609.35052 · cs.CV, cs.AI · Submitted 2026-09-28 · Read on arXiv

cs.CV, cs.AI

Submitted: 2026-09-28

Updated: 2026-09-28

Code: https://github.com/SSStarain/OPIS

Terminology

World Model — 23× in this paper · explained in 7 episodes
Benchmark — 22× in this paper · explained in 2 episodes
Aggregation — 12× in this paper · explained in 1 episode
Fidelity — 9× in this paper · explained in 2 episodes
Consistency — 6× in this paper · explained in 3 episodes
Transformer — 4× in this paper · explained in 2 episodes
Ablation — 3× in this paper · explained in 1 episode
Embeddings — 3× in this paper · explained in 2 episodes
Instance Segmentation — 3× in this paper · explained in 3 episodes
Provenance — 3× in this paper · explained in 4 episodes
Generative AI — 2× in this paper · explained in 2 episodes
Latent Spatial Memory — 2× in this paper
6D Object Pose Estimation — 1× in this paper · explained in 1 episode
Benchmarking — 1× in this paper · explained in 3 episodes
Generative Model — 1× in this paper · explained in 2 episodes
Generative Models — 1× in this paper · explained in 2 episodes
Grounding — 1× in this paper · explained in 3 episodes
Latent Dynamics — 1× in this paper · explained in 2 episodes
Vision-language models — 1× in this paper · explained in 2 episodes

Sources

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