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license: apache-2.0
base_model:
- Wan-AI/Wan2.2-TI2V-5B
pipeline_tag: image-to-video
tags:
- video-generation
- autoregressive-video
- video-reasoning
- embodied-ai
---
# ProAR: Learning Prospective Reasoning with Autoregressive Video Models
ProAR solves reasoning tasks by autoregressively generating a sequence of visual states. It equips autoregressive video models with two complementary components:
- **Outcome Guidance** predicts a future goal frame to guide current-chunk generation.
- **Transition Guidance** aligns the current representation with the clean next-chunk representation during training.
ProAR is built upon [Wan2.2-TI2V-5B](https://huggingface.co/Wan-AI/Wan2.2-TI2V-5B).
- **Code:** [github.com/luka-group/ProAR](https://github.com/luka-group/ProAR)
- **Evaluation data (for VBVR-10tasks):** [LinghuiShen/ProAR-test](https://huggingface.co/datasets/LinghuiShen/ProAR-test)
- **Paper:** [2610.03664](https://arxiv.org/abs/2610.03664)
- **Project page:** [luka-group.github.io/ProAR](https://luka-group.github.io/ProAR/)
## Model Zoo
| Dataset | Model | Checkpoint | Training step |
| --- | --- | --- | ---: |
| VBVR-10Tasks | AR | [`vbvr-10tasks/ar/model.pt`](./vbvr-10tasks/ar/model.pt) | 10,000 |
| VBVR-10Tasks | ProAR | [`vbvr-10tasks/proar/model.pt`](./vbvr-10tasks/proar/model.pt) | 10,000 |
| VideoRLVR-3Tasks | AR | [`videorlvr-3tasks/ar/model.pt`](./videorlvr-3tasks/ar/model.pt) | 5,000 |
| VideoRLVR-3Tasks | ProAR | [`videorlvr-3tasks/proar/model.pt`](./videorlvr-3tasks/proar/model.pt) | 5,000 |
| WorldArena | AR | [`worldarena/ar/model.pt`](./worldarena/ar/model.pt) | 10,000 |
| WorldArena | ProAR | [`worldarena/proar/model.pt`](./worldarena/proar/model.pt) | 10,000 |
## Download
Download all released checkpoints:
```bash
hf download LinghuiShen/ProAR \
--local-dir checkpoints/ProAR |