Add model card for GemDepth
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by nielsr HF Staff - opened
README.md
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license: apache-2.0
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---
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license: apache-2.0
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pipeline_tag: depth-estimation
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---
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# GemDepth: Geometry-Embedded Features for 3D-Consistent Video Depth
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GemDepth is a framework for 3D-consistent video depth estimation. It introduces a Geometry-Embedding Module (GEM) that predicts inter-frame camera poses to generate implicit geometric embeddings, providing the network with intrinsic 3D perception. Combined with an Alternating Spatio-Temporal Transformer (ASTT), GemDepth captures point-level correspondences to enhance spatial precision and enforce rigorous temporal consistency across complex dynamic scenarios.
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- **Paper:** [GemDepth: Geometry-Embedded Features for 3D-Consistent Video Depth](https://arxiv.org/abs/2605.10525)
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- **Repository:** [https://github.com/Yuecheng919/GemDepth](https://github.com/Yuecheng919/GemDepth)
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## Usage
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To use GemDepth, first clone the repository and install the requirements:
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```bash
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git clone https://github.com/Yuechengliu919/GemDepth
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cd GemDepth
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conda create -n gemdepth python=3.10
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conda activate gemdepth
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pip install -r requirements.txt
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```
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Then, you can initialize the model and perform inference using the following snippet:
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```python
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import torch
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from model.gemdepth import GemDepth
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DEVICE = 'cuda' if torch.cuda.is_available() else 'cpu'
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# Model configurations
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model_configs = {
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'vits': {'encoder': 'vits', 'features': 64, 'out_channels': [48, 96, 192, 384]},
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'vitl': {'encoder': 'vitl', 'features': 256, 'out_channels': [256, 512, 1024, 1024]},
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}
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# Initialize model (e.g., vitl)
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gemdepth = GemDepth(**model_configs['vitl'])
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checkpoint = torch.load("./checkpoint/gemdepth.pth", map_location='cpu', weights_only=False)
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gemdepth.load_state_dict(checkpoint, strict=True)
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gemdepth = gemdepth.to(DEVICE).eval()
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# Inference example
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# frames, target_fps = read_video_frames(video_path, max_len, target_fps, 1280)
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# depths, fps = gemdepth.infer_video_depth(frames, target_fps, input_size=1280, device=DEVICE)
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```
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## Citation
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```bibtex
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@article{liu2026gemdepth,
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title={GemDepth: Geometry-Embedded Features for 3D-Consistent Video Depth},
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author={Yuecheng Liu and others},
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journal={arXiv preprint arXiv:2605.10525},
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year={2026}
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}
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```
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