JhanLiufu/StEvo-Bench
STEVO-Bench STEVO-Bench evalutes whether video world models can “simulate” a world beyond the pixel frame. We introduce observation control such as occlusion, camera lookaway or illumination dimming to prove whether video world models can evolve state successfully Visit the STEVO-Bench official site to see leaderboard, example tasks and example videos. Read our paper and blog post to see our findings and discussions about SOTA video world models! 📄 Paper | 📝… See the full description on the dataset page: https://huggingface.co/datasets/JhanLiufu/StEvo-Bench.
| Author / organization | JhanLiufu |
|---|---|
| License (as declared) | mit |
| Downloads | 976 (as reported by Hugging Face) |
| Likes | 0 |
| Created | 11 March 2026 |
| Last updated at source | 16 March 2026 |
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- 16 Oct 2026 Description: STEVO-Bench STEVO-Bench evalutes whether video world models can “simulate” a world beyond the pixel frame. We introduce observation control such as occlusion, camera lookaway or illumination dimming to prove whether video world models can e → STEVO-Bench STEVO-Bench evalutes whether video world models can “simulate” a world beyond the pixel frame. We introduce observation control such as occlusion, camera lookaway or illumination dimming to prove whether video world models can e
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