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Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
The repo for "Metric3D: Towards Zero-shot Metric 3D Prediction from A Single Image" and "Metric3Dv2: A Versatile Monocular Geometric Foundation Model..."
| Date | Stars |
|---|---|
| 2026-07-31 | 2283 |
| 2026-08-06 | 2286 |
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# 🚀 Metric3D Project 🚀 **Official PyTorch implementation of Metric3Dv1 and Metric3Dv2:** [1] [Metric3D: Towards Zero-shot Metric 3D Prediction from A Single Image](https://arxiv.org/abs/2307.10984) [2] [Metric3Dv2: A Versatile Monocular Geometric Foundation Model for Zero-shot Metric Depth and Surface Normal Estimation](https://arxiv.org/abs/2404.15506) <a href='https://jugghm.github.io/Metric3Dv2'><img src='https://img.shields.io/badge/project%[email protected]'></a> <a href='https://arxiv.org/abs/2307.10984'><img src='https://img.shields.io/badge/arxiv-@Metric3Dv1-green'></a> <a href='https://arxiv.org/abs/2404.15506'><img src='https://img.shields.io/badge/arxiv-@Metric3Dv2-red'></a> <a href='https://huggingface.co/spaces/JUGGHM/Metric3D'><img src='https://img.shields.io/badge/%F0%9F%A4%97%20Hugging%20Face-Spaces-blue'></a> [//]: # (### [Project Page](https://arxiv.org/abs/2307.08695) | [v2 Paper](https://arxiv.org/abs/2307.10984) | [v1 Arxiv](https://arxiv.org/abs/2307.10984) | [Video](https://www.youtube.com/playlist?list=PLEuyXJsWqUNd04nwfm9gFBw5FVbcaQPl3) | [Hugging Face 🤗](https://huggingface.co/spaces/JUGGHM/Metric3D) ) [](https://paperswithcode.com/sota/monocular-depth-estimation-on-nyu-depth-v2?p=metric3d-v2-a-versatile-monocular-geometric-1) [](https://paperswithcode.com/sota/monocular-depth-estimation-on-kitti-eigen?p=metric3d-v2-a-versatile-monocular-geometric-1) [](https://paperswithcode.com/sota/surface-normals-estimation-on-nyu-depth-v2-1?p=metric3d-v2-a-versatile-monocular-geometric-1) [](https://paperswithcode.com/sota/surface-normals-estimation-on-ibims-1?p=metric3d-v2-a-versatile-monocular-geometric-1) [](https://paperswithcode.com/sota/surface-normals-estimation-on-scannetv2?p=metric3d-v2-a-versatile-monocular-geometric-1) 🏆 **Champion in [CVPR2023 Monocular Depth Estimation Challenge](https://jspenmar.github.io/MDEC)** ## News - `[2024/8]` Metric3Dv2 is accepted by TPAMI! - `[2024/7/5]` Our stable-diffusion alternative GeoWizard has now been accepted by ECCV 2024! Check NOW the [repository](https://github.com/fuxiao0719/GeoWizard) and [paper](https://arxiv.org/abs/2403.12013) for the finest-grained geometry ever! 🎉🎉🎉 - `[2024/6/25]` Json files for KITTI datasets now available! Refer to [Training](./training/README.md) for more details - `[2024/6/3]` ONNX is supported! We appreciate [@xenova](https://github.com/xenova) for their remarkable efforts! - `[2024/4/25]` Weights for ViT-giant2 model released! - `[2024/4/11]` Training codes are released! - `[2024/3/18]` [HuggingFace 🤗](https://huggingface.co/spaces/JUGGHM/Metric3D) GPU version updated! - `[2024/3/18]` [Project page](https://jugghm.github.io/Metric3Dv2/) released! - `[2024/3/18]` Metric3D V2 models released, supporting metric depth and surface normal now! - `[2023/8/10]` Inference codes, pre-trained weights, and demo released. - `[2023/7]` Metric3D accepted by ICCV 2023! - `[2023/4]` The Champion of [2nd Monocular Depth Estimation Challenge](https://jspenmar.github.io/MDEC) in CVPR 2023 ## 🌼 Abstract Metric3D is a strong and robust geometry
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Would you bet a product on this? Bounded 0–100 and slow moving.
matched fp:1ff7153e9729e111, topic:3d-reconstruction