AdaBins
ZoeDepth
| AdaBins | ZoeDepth | |
|---|---|---|
| 3 | 4 | |
| 673 | 1,972 | |
| - | 6.0% | |
| 0.0 | 0.0 | |
| almost 2 years ago | 6 days ago | |
| Python | Jupyter Notebook | |
| GNU General Public License v3.0 only | MIT License |
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AdaBins
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FileNotFoundError
if os.path.exists("AdaBins") is not True: gitclone("https://github.com/shariqfarooq123/AdaBins.git")
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I DON'T KNOW WHAT I'M DOING: VQGAN+CLIP, limited palette, AdaBins, and RIFE
AdaBins: Depth Estimation using Adaptive Bins * https://github.com/shariqfarooq123/AdaBins * https://arxiv.org/abs/2011.14141
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Monocular Depth Estimation - Running multiple pre-trained models and looking at the average
I was curious what would happen if I ran a few of these models on the same input and calculated the average. So, I ran (1) [AdaBins](https://github.com/shariqfarooq123/AdaBins) (NYU + KITTI models), (2) [DiverseDepth](https://github.com/YvanYin/DiverseDepth), (3) [MiDaS](https://github.com/intel-isl/MiDaS), and (4) [SGDepth](https://github.com/ifnspaml/SGDepth), and calculated a weighted-average depth prediction.
ZoeDepth
- Software 3D scanner. Free on Prusa Printables
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🚀 Deep Learning for Deep Objects: ZoeDepth is an AI Model for Multi-Domain Depth Estimation
Quick Read: https://www.marktechpost.com/2023/03/03/deep-learning-for-deep-objects-zoedepth-is-an-ai-model-for-multi-domain-depth-estimation/ Paper: https://arxiv.org/pdf/2302.12288.pdf Github: https://github.com/isl-org/ZoeDepth
- Testing ControlNet on Unreal Engine 5
- ZoeDepth: Zero-shot Transfer by Combining Relative and Metric Depth
What are some alternatives?
Practical-RIFE - We are developing more practical approach for users based on RIFE.
nn - 🧑🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
merged_depth - Monocular Depth Estimation - Weighted-average prediction from multiple pre-trained depth estimation models
DenseDepth - High Quality Monocular Depth Estimation via Transfer Learning
DiverseDepth - The code and data of DiverseDepth
Online3DViewer - A solution to visualize and explore 3D models in your browser.
Depth-Anything - [CVPR 2024] Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data. Foundation Model for Monocular Depth Estimation
monodepth2 - [ICCV 2019] Monocular depth estimation from a single image
HugsVision - HugsVision is a easy to use huggingface wrapper for state-of-the-art computer vision