Trending repositories for topic 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
RGBD-3DGS-SLAM is a monocular SLAM system leveraging 3D Gaussian Splatting (3DGS) for accurate point cloud and visual odometry estimation. By integrating neural networks, it estimates depth and camera...
[NeurIPS 2023] RoboDepth: Robust Out-of-Distribution Depth Estimation under Corruptions
Official implementation of Adabins: Depth Estimation using adaptive bins
Minimal code and examnples for inferencing Sapiens foundation human models in Pytorch
RGBD-3DGS-SLAM is a monocular SLAM system leveraging 3D Gaussian Splatting (3DGS) for accurate point cloud and visual odometry estimation. By integrating neural networks, it estimates depth and camera...
🌟A curated list of DUSt3R-related papers and resources, tracking recent advancements using this geometric foundation model.
[NeurIPS 2023] RoboDepth: Robust Out-of-Distribution Depth Estimation under Corruptions
Official implementation of Adabins: Depth Estimation using adaptive bins
[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
🌟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
ONNX-compatible Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data
⚡️The spatial perception framework for rapidly building smart robots and spaces
SGM，立体匹配StereoMatching最经典应用最广泛算法，4000+引用，兼顾效率和效果。完整实现，代码规范，注释清晰，博客教学，欢迎star！
List of projects for 3d reconstruction
GenPercept: Diffusion Models Trained with Large Data Are Transferable Visual Models
A curated list of awesome Deep Stereo Matching resources
🔥SLAM, VIsual localization, keypoint detection, Image matching, Pose/Object tracking, Depth/Disparity/Flow Estimation, 3D-graphic, etc. related papers and code
[CVPR 2024] An End-to-End Tile-Based Framework for High-Resolution Monocular Metric Depth Estimation
RGBD-3DGS-SLAM is a monocular SLAM system leveraging 3D Gaussian Splatting (3DGS) for accurate point cloud and visual odometry estimation. By integrating neural networks, it estimates depth and camera...
[NeurIPS2023] IEBins: Iterative Elastic Bins for Monocular Depth Estimation
Welcome to TheAnimeScripter – the ultimate tool for Video Upscaling, Interpolating and many more. Available as a CLI, GUI and Adobe Extension.
Minimal code and examnples for inferencing Sapiens foundation human models in Pytorch
RGBD-3DGS-SLAM is a monocular SLAM system leveraging 3D Gaussian Splatting (3DGS) for accurate point cloud and visual odometry estimation. By integrating neural networks, it estimates depth and camera...
🌟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
ONNX-compatible Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data
[NeurIPS2023] IEBins: Iterative Elastic Bins for Monocular Depth Estimation
Welcome to TheAnimeScripter – the ultimate tool for Video Upscaling, Interpolating and many more. Available as a CLI, GUI and Adobe Extension.
[ICCV'23] Self-supervised Monocular Depth Estimation: Let’s Talk About The Weather
A curated list of awesome Deep Stereo Matching resources
[ICCV2023 Oral & TPAMI2024] NDDepth: Normal-Distance Assisted Monocular Depth Estimation and Completion
This repository contains information for the paper "A Survey on RGB-D Datasets" and is a collaborative initiative to update the datasets list faster.
⚡️The spatial perception framework for rapidly building smart robots and spaces
[CVPR 2024] Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data. Foundation Model for Monocular Depth Estimation
[NeurIPS 2023] RoboDepth: Robust Out-of-Distribution Depth Estimation under Corruptions
SGM，立体匹配StereoMatching最经典应用最广泛算法，4000+引用，兼顾效率和效果。完整实现，代码规范，注释清晰，博客教学，欢迎star！
TensorRT implementation of Depth-Anything V1, V2
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
🌟A curated list of DUSt3R-related papers and resources, tracking recent advancements using this geometric foundation model.
A curated list of awesome Deep Stereo Matching resources
ONNX-compatible Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data
Robust realtime face and facial landmark tracking on CPU with Unity integration
[ECCV 2024] Leveraging Synthetic Data for Real-Domain High-Resolution Monocular Metric Depth Estimation
[CVPR 2024] An End-to-End Tile-Based Framework for High-Resolution Monocular Metric Depth Estimation
⚡️The spatial perception framework for rapidly building smart robots and spaces
PyTorch Implementation of introducing diffusion approach to 3D depth perception
SC-Depth (V1, V2, and V3) for Unsupervised Monocular Depth Estimation Webpage:https://jiawangbian.github.io/sc_depth_pl/
🔥SLAM, VIsual localization, keypoint detection, Image matching, Pose/Object tracking, Depth/Disparity/Flow Estimation, 3D-graphic, etc. related papers and code
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
🌟A curated list of DUSt3R-related papers and resources, tracking recent advancements using this geometric foundation model.
RGBD-3DGS-SLAM is a monocular SLAM system leveraging 3D Gaussian Splatting (3DGS) for accurate point cloud and visual odometry estimation. By integrating neural networks, it estimates depth and camera...
Rankings include: BetterDepth Depth Anything DPT FutureDepth GBDMF GenPercept GeoWizard LeReS LightedDepth LFVRT Marigold Metric3D MiDaS NeWCRFs PatchFusion UniDepth ZoeDepth
A curated list of awesome Deep Stereo Matching resources
An Android app running inference on Depth-Anything and Depth-Anything-V2
Welcome to TheAnimeScripter – the ultimate tool for Video Upscaling, Interpolating and many more. Available as a CLI, GUI and Adobe Extension.
ONNX-compatible Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data
edepth is an open-source, trainable CNN-based model for depth estimation from single images, videos, and live camera feeds.
Estimates a depth mapping from a given normal mapping.
[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.
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"
GenPercept: Diffusion Models Trained with Large Data Are Transferable Visual Models
TouchDesigner implementation for Depth Anything and TensorRT monocular depth estimation.
[NeurIPS2023] IEBins: Iterative Elastic Bins for Monocular Depth Estimation
Welcome to TheAnimeScripter – the ultimate tool for Video Upscaling, Interpolating and many more. Available as a CLI, GUI and Adobe Extension.
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
[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.
ONNX-compatible Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data
Robust realtime face and facial landmark tracking on CPU with Unity integration
A curated list of awesome Deep Stereo Matching resources
⚡️The spatial perception framework for rapidly building smart robots and spaces
[ECCV 2022] SimpleRecon: 3D Reconstruction Without 3D Convolutions
List of projects for 3d reconstruction
SGM，立体匹配StereoMatching最经典应用最广泛算法，4000+引用，兼顾效率和效果。完整实现，代码规范，注释清晰，博客教学，欢迎star！
🔥SLAM, VIsual localization, keypoint detection, Image matching, Pose/Object tracking, Depth/Disparity/Flow Estimation, 3D-graphic, etc. related papers and code
[CVPR'2024] Official implementation of the paper "ECoDepth: Effective Conditioning of Diffusion Models for Monocular Depth Estimation"
Monocular Depth Estimation Toolbox based on MMSegmentation.
[ICCV 2023] Official implementation of "SceneRF: Self-Supervised Monocular 3D Scene Reconstruction with Radiance Fields"
GenPercept: Diffusion Models Trained with Large Data Are Transferable Visual Models
[ICCV2023 Oral & TPAMI2024] NDDepth: Normal-Distance Assisted Monocular Depth Estimation and Completion
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"
GenPercept: Diffusion Models Trained with Large Data Are Transferable Visual Models
[NeurIPS2023] IEBins: Iterative Elastic Bins for Monocular Depth Estimation
[CVPR 2024] Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data. Foundation Model for Monocular Depth Estimation
Estimates a depth mapping from a given normal mapping.
[ICCV'23] Self-supervised Monocular Depth Estimation: Let’s Talk About The Weather
Minimal code and examnples for inferencing Sapiens foundation human models in Pytorch
Depth Estimation using Stereo images using deep learning based architecture for disparity measurement.The architectures used for disparity estimation are BgNet,CreStereo, Raft-Stereo, HitNet,GwcNet et...
Source code for the ICCV 2023 paper: Robust Monocular Depth Estimation under Challenging Conditions
Full Scale Monocular Depth Prediction. Official Implementation of "FSNet: Redesign Self-Supervised MonoDepth for Full-Scale Depth Prediction for Autonomous Driving" https://arxiv.org/abs/2304.10719
Semantic Guided Depth Estimation with Transformers Using Monocular Camera and Sparse Radar
[CVPR 2024] Official repository of From-Ground-To-Objects
This repository contains information for the paper "A Survey on RGB-D Datasets" and is a collaborative initiative to update the datasets list faster.