- The Application of Depth_anything_v2 in Autonomous Driving: Depth . . .
Based on an extensive literature review, this paper will explore the application potential of Depth_anything_v2 in the field of autonomous driving and systematically evaluate its performance in different complex environments
- Depth Anything V2 - Hugging Face
Depth Anything V2 was introduced in the paper of the same name by Lihe Yang et al It uses the same architecture as the original Depth Anything model, but uses synthetic data and a larger capacity teacher model to achieve much finer and robust depth predictions The abstract from the paper is the following: This work presents Depth Anything V2 Without pursuing fancy techniques, we aim to
- GitHub - DepthAnything Depth-Anything-V2: [NeurIPS 2024] Depth Anything . . .
This work presents Depth Anything V2 It significantly outperforms V1 in fine-grained details and robustness Compared with SD-based models, it enjoys faster inference speed, fewer parameters, and higher depth accuracy
- Depth Anything V2
This work presents Depth Anything V2 Without pursuing fancy techniques, we aim to reveal crucial findings to pave the way towards building a powerful monocular depth estimation model
- Depth Anything V2 Object Detection Model: What is, How to Use
Depth-Anything-V2 is a depth estimation model developed by researchers from HKU and TikTok Use the widget below to experiment with Depth Anything V2 You can detect COCO classes such as people, vehicles, animals, household items
- The Application of Depth_anything_v2 in Autonomous Driving: Depth . . .
Based on an extensive literature review, this paper explores the depth estimation capabilities of Depth_Anything_V2, evaluates its performance in terms of speed and accuracy in complex environments, and provides an outlook on the remaining issues to be addressed and future research directions
- depth-anything-v2 · PyPI
This work presents Depth Anything V2 It significantly outperforms V1 in fine-grained details and robustness Compared with SD-based models, it enjoys faster inference speed, fewer parameters, and higher depth accuracy News 2025-01-22: Video Depth Anything has been released
- Depth Anything V2, a highly capable depth estimation model
Depth Anything V2 surpasses its predecessors by delivering more robust and fine-grained depth predictions Its capabilities open new possibilities in various fields, including robotics, autonomous vehicles, 3D reconstruction, and augmented reality
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