[CVPR 2024] Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data. Foundation Model for Monocular Depth Estimation
- depth-estimation
- image-synthesis
- metric-depth-estimation
- monocular-depth-estimation
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[CVPR 2024] Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data. Foundation Model for Monocular Depth Estimation
LimiX: Unleashing Structured-Data Modeling Capability for Generalist Intelligence https://arxiv.org/abs/2609.17488
Hold a key, speak, release — AI-polished text appears at your cursor in any app. Open-source voice input for macOS & Windows. (按住快捷键说话,松开即得润色后的文字)
每个人都能用的数字人
High level network definitions with pre-trained weights in TensorFlow
lock-free, concurrent, key/value index with efficient memory-mapped persistence and fast transient storage models
A graph reliability toolbox based on PyTorch and PyTorch Geometric (PyG).
Code for the experiment proposed in Section 4.2 of the paper "The Bouncer Problem: Challenges to Remote Explainability".