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Two milestones of the JEPA roadmap: I-JEPA established self-supervised image representation by predicting in latent space; V-JEPA 2 extends the paradigm to video at foundation scale and demonstrates zero-shot robot control.
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I-JEPA proved that latent-space prediction beats pixel reconstruction for self-supervised representation learning. V-JEPA 2 carries the same idea into time, scales it, and uses the resulting representations for downstream control. Use I-JEPA when you only need strong image features; use V-JEPA 2 when temporal dynamics or downstream robotics matter.
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Choose V-JEPA 2 when its capabilities best match your research or deployment requirements.
Choose I-JEPA when its capabilities best match your research or deployment requirements.
I-JEPA proved that latent-space prediction beats pixel reconstruction for self-supervised representation learning. V-JEPA 2 carries the same idea into time, scales it, and uses the resulting representations for downstream control. Use I-JEPA when you only need strong image features; use V-JEPA 2 when temporal dynamics or downstream robotics matter.
| Dimension | V-JEPA 2 | I-JEPA |
|---|---|---|
| Modality | Video | Static images |
| Objective | Latent video prediction | Latent image-region prediction |
| Temporal Modeling | Yes (multi-frame context) | No |
| Robotics Use | Zero-shot planning in unseen scenes | Representation only |
| Physical Reasoning | PhyBench 89.2% | Not evaluated |
| Scale | Foundation-scale | ViT-H scale |
| Lab | Meta FAIR | Meta FAIR |
| Year | 2025 | 2023 |
High-level scoring context for the models referenced in this comparison.
| Model | Category | Index v1.1 | Confidence |
|---|---|---|---|
| V-JEPA 2 | Self-Supervised World Model | 87/100 | medium |
| I-JEPA | Self-Supervised World Model | 61/100 | medium |
| V-JEPA | Self-Supervised World Model | 70/100 | medium |
| LeWorldModel | Self-Supervised World Model | 78/100 | medium |
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Predicting in latent space lets the model ignore pixel-level noise (texture, lighting jitter) and concentrate on semantically meaningful structure, which transfers better to downstream tasks.
Not natively. I-JEPA operates on single images; V-JEPA and V-JEPA 2 are the video extensions.
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Lead editor Bernard Grenat.
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