Statistics for topic depth-estimation
RepositoryStats tracks 559,026 Github repositories, of these 153 are tagged with the depth-estimation topic. The most common primary language for repositories using this topic is Python (115). Other languages include: Jupyter Notebook (12)
Stargazers over time for topic depth-estimation
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[CVPR 2024] Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data. Foundation Model for Monocular Depth Estimation
[ECCV 2024] Leveraging Synthetic Data for Real-Domain High-Resolution Monocular Metric Depth Estimation
🌟A curated list of DUSt3R-related papers and resources, tracking recent advancements using this geometric foundation model.
[ECCV 2024] Leveraging Synthetic Data for Real-Domain High-Resolution Monocular Metric Depth Estimation
Minimal code and examnples for inferencing Sapiens foundation human models in Pytorch
🌟A curated list of DUSt3R-related papers and resources, tracking recent advancements using this geometric foundation model.
[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.
[ECCV 2024] Leveraging Synthetic Data for Real-Domain High-Resolution Monocular Metric Depth Estimation
Minimal code and examnples for inferencing Sapiens foundation human models in Pytorch
🌟A curated list of DUSt3R-related papers and resources, tracking recent advancements using this geometric foundation model.
Minimal code and examnples for inferencing Sapiens foundation human models in Pytorch
[CVPR 2024] Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data. Foundation Model for Monocular Depth Estimation
Minimal code and examnples for inferencing Sapiens foundation human models in Pytorch
Minimal code and examnples for inferencing Sapiens foundation human models in Pytorch
[ECCV 2024] Leveraging Synthetic Data for Real-Domain High-Resolution Monocular Metric Depth Estimation
[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
🌟A curated list of DUSt3R-related papers and resources, tracking recent advancements using this geometric foundation model.
[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
TensorRT implementation of Depth-Anything V1, V2
ONNX-compatible Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data
A curated list of awesome Deep Stereo Matching resources
[CVPR'2024] Official implementation of the paper "ECoDepth: Effective Conditioning of Diffusion Models for Monocular Depth Estimation"