Statistics for topic depth-estimation
RepositoryStats tracks 518,986 Github repositories, of these 136 are tagged with the depth-estimation topic. The most common primary language for repositories using this topic is Python (103). Other languages include: Jupyter Notebook (12)
Stargazers over time for topic depth-estimation
Most starred repositories for topic depth-estimation (view more)
Trending repositories for topic depth-estimation (view more)
[CVPR 2024] Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data. Foundation Model for Monocular Depth Estimation
Self-supervised Monocular Depth Estimation: Let’s Talk About The Weather
List of projects for 3d reconstruction
Self-supervised Monocular Depth Estimation: Let’s Talk About The Weather
🌟A curated list of DUSt3R-related papers and resources, tracking recent advancements using this geometric foundation model.
ONNX-compatible Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data
[CVPR 2024] Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data. Foundation Model for Monocular Depth Estimation
[CVPR 2024] Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data. Foundation Model for Monocular Depth Estimation
Self-supervised Monocular Depth Estimation: Let’s Talk About The Weather
🌟A curated list of DUSt3R-related papers and resources, tracking recent advancements using this geometric foundation model.
Self-supervised Monocular Depth Estimation: Let’s Talk About The Weather
🌟A curated list of DUSt3R-related papers and resources, tracking recent advancements using this geometric foundation model.
ONNX-compatible Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data
GenPercept: Diffusion Models Trained with Large Data Are Transferable Visual Models
[CVPR 2024] Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data. Foundation Model for Monocular Depth Estimation
🌟A curated list of DUSt3R-related papers and resources, tracking recent advancements using this geometric foundation model.
GenPercept: Diffusion Models Trained with Large Data Are Transferable Visual Models
A curated list of awesome Deep Stereo Matching resources
GenPercept: Diffusion Models Trained with Large Data Are Transferable Visual Models
🌟A curated list of DUSt3R-related papers and resources, tracking recent advancements using this geometric foundation model.
Self-supervised Monocular Depth Estimation: Let’s Talk About The Weather
[CVPR 2024] Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data. Foundation Model for Monocular Depth Estimation
[CVPR 2024] An End-to-End Tile-Based Framework for High-Resolution Monocular Metric Depth Estimation
Unofficial cpp and python implementation of depth-anything model using tensorrt api.
ONNX-compatible Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data
[CVPR 2024] Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data. Foundation Model for Monocular Depth Estimation
[CVPR 2024] An End-to-End Tile-Based Framework for High-Resolution Monocular Metric Depth Estimation
Unofficial cpp and python implementation of depth-anything model using tensorrt api.
[CVPR'2024] Official implementation of the paper "ECoDepth: Effective Conditioning of Diffusion Models for Monocular Depth Estimation"
ONNX-compatible Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data
Source code for the ICCV 2023 paper: Robust Monocular Depth Estimation under Challenging Conditions