LiTo
LiTo
Model Overview
LiTo is a undisclosed-parameter model developed by Apple. Released on 2025-03-14.
📊 Quick Specs
| Specification | Value |
|---|---|
| Parameters | undisclosed |
| Task | other |
| Modality | image, 3d |
| License | Other/Custom |
| Type | research-preview |
✨ Key Features
- Unified 3D Latent Representation: Simultaneously encodes surface geometry and view-dependent appearance (surface light fields) into a compact latent code
- Image-to-3D Generation: Single-image feed-forward reconstruction of full 3D objects using latent flow matching
- Surface Light Field Tokenization: Tokenizes view-dependent radiance on the object surface for efficient and disentangled modeling
- Latent Flow Matching: Uses flow matching in the LiTo latent space for high-quality, diverse 3D generation
- ICLR 2026 Paper: Peer-reviewed research published at the International Conference on Learning Representations 2026
🔗 Resources
- GitHub: Repository
- Paper: arXiv
- Website: Project Page
📜 License & Access
Other/Custom — See repository for specific license details.
Key Features
Unified 3D Latent Representation: Simultaneously encodes surface geometry and view-dependent appearance (surface light fields) into a compact latent code
Image-to-3D Generation: Single-image feed-forward reconstruction of full 3D objects using latent flow matching
Surface Light Field Tokenization: Tokenizes view-dependent radiance on the object surface for efficient and disentangled modeling
Latent Flow Matching: Uses flow matching in the LiTo latent space for high-quality, diverse 3D generation
ICLR 2026 Paper: Peer-reviewed research published at the International Conference on Learning Representations 2026
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Verified Sources
Tags
Model Specs
Parameters
Undisclosed
Context Window
unknown
License
Other/Custom
Deployment
Resources & Links
Curator Notes
Partially enriched via migration on 2026-07-25. Manual review recommended.
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