File size: 2,266 Bytes
37722db 56c8aa2 37722db 56c8aa2 37722db 56c8aa2 37722db 56c8aa2 37722db 56c8aa2 37722db 6acebec b55ef75 6acebec b55ef75 6acebec | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 | ---
license: cc-by-4.0
tags:
- 3d-reconstruction
- gaussian-splatting
- learned-optimizer
- computer-vision
- view-synthesis
- pytorch
---
# 🫧 Learn2Splat: Learned Optimizer for 3D Gaussian Splatting
**Learn2Splat** is a meta-learned optimizer for **3D Gaussian Splatting (3DGS)** that replaces hand-designed optimizers (e.g., Adam/SGD) with a learned update rule.
It improves early convergence speed while remaining stable over long optimization horizons without requiring learning-rate schedules or time-step conditioning.
------------------------------------------------------------------------
## 🌐 Links
- Project page: https://naamapearl.github.io/learn2splat/
- Code: https://github.com/autonomousvision/learn2splat
- Hugging Face: https://huggingface.co/autonomousvision/learn2splat
------------------------------------------------------------------------
## ⚙️ Overview
Learn2Splat learns to optimize Gaussian scene representations by directly predicting structured parameter updates.
Key properties:
- Learned optimizer for 3D Gaussian Splatting
- Faster early convergence compared to standard optimizers
- Stable long-horizon optimization without LR schedules
- Zero-shot generalization to unseen scenes and resolutions
The model is trained across many scenes and applied without fine-tuning at test time.
------------------------------------------------------------------------
## 📦 Checkpoints
This repository includes pretrained weights for:
- Learn2SplatSparse: sparse-view reconstruction
- Learn2SplatDense: dense-view reconstruction
See [MODEL_ZOO.md](https://huggingface.co/autonomousvision/learn2splat/blob/main/MODEL_ZOO.md) for details.
------------------------------------------------------------------------
## 📚 Citation
If you find this project useful, please consider citing:
```bibtex
@article{pearl2026learn2splat,
title = {Learn2Splat: Extending the Horizon of Learned 3DGS Optimization},
author = {Pearl, Naama and Esposito, Stefano and Xu, Haofei and Peleg, Amit and
Gschoßmann, Patricia and Porzi, Lorenzo and Kontschieder, Peter and
Pons-Moll, Gerard and Geiger, Andreas},
journal = {arXiv preprint arXiv:2605.15760},
year = {2026}
}
``` |