Surflo
Model Overview
Surflo is a undisclosed-parameter model developed by Academic/Research. Released on 2026-06-11.
📊 Quick Specs
| Specification | Value |
|---|---|
| Parameters | undisclosed |
| Task | other |
| Modality | image, 3d |
| License | Other/Custom |
| Type | open-weights |
✨ Key Features
- Global Latent State Compression: Encodes arbitrary unposed views into a fixed-size 128-token latent using a Perceiver compressor over a VGGT-1B backbone
- Arbitrary-Resolution Flow Matching Decoder: Decodes 3D points continuously from noise, enabling sampling from thousands to millions of surface points without spatial grid constraints
- Inference-Time Photometric Guidance: Incorporates 3D Gaussian Splatting rendering loss gradients during ODE integration to resolve per-point decoding inconsistencies
- Order-of-Magnitude Speedup: Provides fast feed-forward inference compared to compute-heavy optimization-based reconstruction algorithms
- Unposed Multi-View Flexibility: Seamlessly handles between 2 and 64 unposed input images without pre-calibrated camera parameters
🔗 Resources
- Hugging Face: Surflo
- GitHub: Repository
- Paper: arXiv
- Website: Project Page
📜 License & Access
Other/Custom — See repository for specific license details.
Key Features
Global Latent State Compression: Encodes arbitrary unposed views into a fixed-size 128-token latent using a Perceiver compressor over a VGGT-1B backbone
Arbitrary-Resolution Flow Matching Decoder: Decodes 3D points continuously from noise, enabling sampling from thousands to millions of surface points without spatial grid constraints
Inference-Time Photometric Guidance: Incorporates 3D Gaussian Splatting rendering loss gradients during ODE integration to resolve per-point decoding inconsistencies
Order-of-Magnitude Speedup: Provides fast feed-forward inference compared to compute-heavy optimization-based reconstruction algorithms
Unposed Multi-View Flexibility: Seamlessly handles between 2 and 64 unposed input images without pre-calibrated camera parameters
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Verified Sources
Tags
Model Specs
Parameters
Undisclosed
Context Window
undisclosed
License
Other/Custom
Deployment
Resources & Links
Curator Notes
Partially enriched via migration on 2026-07-25. Manual review recommended.
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