ZoeDepth
Depth-Anything
ZoeDepth | Depth-Anything | |
---|---|---|
4 | 6 | |
1,972 | 5,749 | |
6.0% | - | |
0.0 | 8.0 | |
6 days ago | 28 days ago | |
Jupyter Notebook | Python | |
MIT License | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
ZoeDepth
- Software 3D scanner. Free on Prusa Printables
-
๐ 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
Depth-Anything
-
Video generation models as world simulators
Depth estimation improved a lot as well e.g. with Depth-Anything [0]. But those are mostly relative depth instead of metric. Also when even converted to metric they still seems have a lot of pointclouds at the edges that have to be pruned - visible in this blog [1]. Looks like those models trained on Lidar or Stereo depthmaps that has this limitations. I think we don't have enough clean training data for 3d unless we maybe train on synthetic data (then we can have plenty, generate realistic scene in Unreal Engine 5 and train on rendered 2d frames)
[0] https://github.com/LiheYoung/Depth-Anything
[1] https://medium.com/@patriciogv/the-state-of-the-art-of-depth...
-
Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data
Very interesting work! More details here: https://depth-anything.github.io/
It seems better overall and per parameter than current work, with relative and absolute measurement.
Is there any research people are aware of that provides sub-mm level models? For 3D modeling purposes? Or is "classic" photogrammetry still the best option there?
- FLaNK Stack 29 Jan 2024
What are some alternatives?
nn - ๐งโ๐ซ 60 Implementations/tutorials of deep learning papers with side-by-side notes ๐; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), ๐ฎ reinforcement learning (ppo, dqn), capsnet, distillation, ... ๐ง
Weaviate - Weaviate is an open-source vector database that stores both objects and vectors, allowing for the combination of vector search with structured filtering with the fault tolerance and scalability of a cloud-native databaseโ.
DenseDepth - High Quality Monocular Depth Estimation via Transfer Learning
Online3DViewer - A solution to visualize and explore 3D models in your browser.
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
AdaBins - Official implementation of Adabins: Depth Estimation using adaptive bins