---
license: apache-2.0
tags:
- novel-view-synthesis
- multi-view-diffusion
- depth-estimation
- 3d-reconstruction
---

# GLD: Geometric Latent Diffusion

**Repurposing Geometric Foundation Models for Multi-view Diffusion**

Wooseok Jang, Seonghu Jeon, Jisang Han, Jinhyeok Choi, Minkyung Kwon, Seungryong Kim, Saining Xie, Sainan Liu

KAIST, New York University, Intel Labs

[[Project Page]](https://cvlab-kaist.github.io/GLD/) | [[Code]](https://github.com/cvlab-kaist/GLD)

## Model Overview

GLD performs multi-view diffusion in the feature space of geometric foundation models (Depth Anything 3 / VGGT), enabling novel view synthesis with zero-shot geometry.

## Checkpoints

| File | Description | Params |
|------|-------------|--------|
| `checkpoints/da3_level1.pt` | DA3 Level-1 diffusion (EMA) | 783M |
| `checkpoints/da3_cascade.pt` | DA3 Cascade: L1→L0 (EMA) | 473M |
| `checkpoints/vggt_level1.pt` | VGGT Level-1 diffusion (EMA) | 806M |
| `checkpoints/vggt_cascade.pt` | VGGT Cascade: L1→L0 (EMA) | 806M |
| `pretrained_models/mae_decoder.pt` | DA3 MAE decoder (EMA, decoder-only) | 423M |
| `pretrained_models/vggt/mae_decoder.pt` | VGGT MAE decoder (EMA, decoder-only) | 425M |
| `pretrained_models/da3/model.safetensors` | DA3-Base encoder weights | 135M |

All checkpoints contain **EMA weights only** (optimizer/scheduler/discriminator removed).  
MAE decoder checkpoints contain **decoder weights only** (encoder weights removed).

## Usage

```bash
git clone https://github.com/cvlab-kaist/GLD.git
cd GLD

# Download checkpoints
# Option 1: huggingface-cli
huggingface-cli download SeonghuJeon/GLD --local-dir .

# Option 2: Python
from huggingface_hub import snapshot_download
snapshot_download("SeonghuJeon/GLD", local_dir=".")

# Run demo
./run_demo.sh da3
```

## Citation

```bibtex
@article{jang2026gld,
  title={Repurposing Geometric Foundation Models for Multi-view Diffusion},
  author={Jang, Wooseok and Jeon, Seonghu and Han, Jisang and Choi, Jinhyeok and Kwon, Minkyung and Kim, Seungryong and Xie, Saining and Liu, Sainan},
  journal={arXiv preprint},
  year={2026}
}
```