Trending repositories for topic monocular-depth-estimation
[CVPR'25] MoGe: Unlocking Accurate Monocular Geometry Estimation for Open-Domain Images with Optimal Training Supervision
[NeurIPS 2024] Depth Anything V2. A More Capable Foundation Model for Monocular Depth Estimation
[CVPR 2025] Video Depth Anything: Consistent Depth Estimation for Super-Long Videos
[CVPR 2024] Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data. Foundation Model for Monocular Depth Estimation
The repo for "Metric3D: Towards Zero-shot Metric 3D Prediction from A Single Image" and "Metric3Dv2: A Versatile Monocular Geometric Foundation Model..."
[WACV'25 Oral] Fine-Tuning Image-Conditional Diffusion Models is Easier than You Think
Python tools for rendering, viewing and generating metric 3D depth videos. Tools for recovering and exporting camera pose and 3D geometry to popular formats as well as tools for projecting depthvideo ...
🌊 Images to → 3D Parallax effect video. A free and open source ImmersityAI alternative
Code for robust monocular depth estimation described in "Ranftl et. al., Towards Robust Monocular Depth Estimation: Mixing Datasets for Zero-shot Cross-dataset Transfer, TPAMI 2022"
[ICLR2025] GenPercept: Diffusion Models Trained with Large Data Are Transferable Visual Models
ONNX-compatible Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data
[CVPR'25] MoGe: Unlocking Accurate Monocular Geometry Estimation for Open-Domain Images with Optimal Training Supervision
Python tools for rendering, viewing and generating metric 3D depth videos. Tools for recovering and exporting camera pose and 3D geometry to popular formats as well as tools for projecting depthvideo ...
[CVPR 2025] Video Depth Anything: Consistent Depth Estimation for Super-Long Videos
TensorRT implementation of Depth-Anything V1, V2
The repo for "Metric3D: Towards Zero-shot Metric 3D Prediction from A Single Image" and "Metric3Dv2: A Versatile Monocular Geometric Foundation Model..."
[NeurIPS 2024] Depth Anything V2. A More Capable Foundation Model for Monocular Depth Estimation
[ICLR2025] GenPercept: Diffusion Models Trained with Large Data Are Transferable Visual Models
[WACV'25 Oral] Fine-Tuning Image-Conditional Diffusion Models is Easier than You Think
ONNX-compatible Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data
🌊 Images to → 3D Parallax effect video. A free and open source ImmersityAI alternative
[CVPR 2024] Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data. Foundation Model for Monocular Depth Estimation
Code for robust monocular depth estimation described in "Ranftl et. al., Towards Robust Monocular Depth Estimation: Mixing Datasets for Zero-shot Cross-dataset Transfer, TPAMI 2022"
[NeurIPS 2024] Depth Anything V2. A More Capable Foundation Model for Monocular Depth Estimation
[CVPR'25] MoGe: Unlocking Accurate Monocular Geometry Estimation for Open-Domain Images with Optimal Training Supervision
[CVPR 2025] Video Depth Anything: Consistent Depth Estimation for Super-Long Videos
[CVPR 2024] Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data. Foundation Model for Monocular Depth Estimation
The repo for "Metric3D: Towards Zero-shot Metric 3D Prediction from A Single Image" and "Metric3Dv2: A Versatile Monocular Geometric Foundation Model..."
[CVPR 2025] Depth Any Camera: Zero-Shot Metric Depth Estimation from Any Camera
Code for robust monocular depth estimation described in "Ranftl et. al., Towards Robust Monocular Depth Estimation: Mixing Datasets for Zero-shot Cross-dataset Transfer, TPAMI 2022"
[CVPR 2024 - Oral, Best Paper Award Candidate] Marigold: Repurposing Diffusion-Based Image Generators for Monocular Depth Estimation
[ICLR2025] GenPercept: Diffusion Models Trained with Large Data Are Transferable Visual Models
Official implementation of Adabins: Depth Estimation using adaptive bins
ONNX-compatible Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data
[WACV'25 Oral] Fine-Tuning Image-Conditional Diffusion Models is Easier than You Think
Python tools for rendering, viewing and generating metric 3D depth videos. Tools for recovering and exporting camera pose and 3D geometry to popular formats as well as tools for projecting depthvideo ...
[MICCAI'2024] EndoDAC: Efficient Adapting Foundation Model for Self-Supervised Depth Estimation from Any Endoscopic Camera
[CVPR 2025] Stereo Anywhere: Robust Zero-Shot Deep Stereo Matching Even Where Either Stereo or Mono Fail
🌊 Images to → 3D Parallax effect video. A free and open source ImmersityAI alternative
[CVPR 2025] Depth Any Camera: Zero-Shot Metric Depth Estimation from Any Camera
Python tools for rendering, viewing and generating metric 3D depth videos. Tools for recovering and exporting camera pose and 3D geometry to popular formats as well as tools for projecting depthvideo ...
[CVPR'25] MoGe: Unlocking Accurate Monocular Geometry Estimation for Open-Domain Images with Optimal Training Supervision
[CVPR 2025] Video Depth Anything: Consistent Depth Estimation for Super-Long Videos
[MICCAI'2024] EndoDAC: Efficient Adapting Foundation Model for Self-Supervised Depth Estimation from Any Endoscopic Camera
[ICLR2025] GenPercept: Diffusion Models Trained with Large Data Are Transferable Visual Models
[NeurIPS 2024] Depth Anything V2. A More Capable Foundation Model for Monocular Depth Estimation
[CVPR 2025] Stereo Anywhere: Robust Zero-Shot Deep Stereo Matching Even Where Either Stereo or Mono Fail
The repo for "Metric3D: Towards Zero-shot Metric 3D Prediction from A Single Image" and "Metric3Dv2: A Versatile Monocular Geometric Foundation Model..."
ONNX-compatible Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data
[WACV'25 Oral] Fine-Tuning Image-Conditional Diffusion Models is Easier than You Think
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 - Oral, Best Paper Award Candidate] Marigold: Repurposing Diffusion-Based Image Generators for Monocular Depth Estimation
🌊 Images to → 3D Parallax effect video. A free and open source ImmersityAI alternative
Code for robust monocular depth estimation described in "Ranftl et. al., Towards Robust Monocular Depth Estimation: Mixing Datasets for Zero-shot Cross-dataset Transfer, TPAMI 2022"
[NeurIPS 2024] Depth Anything V2. A More Capable Foundation Model for Monocular Depth Estimation
[CVPR 2025] Video Depth Anything: Consistent Depth Estimation for Super-Long Videos
[CVPR 2024] Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data. Foundation Model for Monocular Depth Estimation
[CVPR'25] MoGe: Unlocking Accurate Monocular Geometry Estimation for Open-Domain Images with Optimal Training Supervision
Code for robust monocular depth estimation described in "Ranftl et. al., Towards Robust Monocular Depth Estimation: Mixing Datasets for Zero-shot Cross-dataset Transfer, TPAMI 2022"
The repo for "Metric3D: Towards Zero-shot Metric 3D Prediction from A Single Image" and "Metric3Dv2: A Versatile Monocular Geometric Foundation Model..."
[CVPR 2024 - Oral, Best Paper Award Candidate] Marigold: Repurposing Diffusion-Based Image Generators for Monocular Depth Estimation
🌊 Images to → 3D Parallax effect video. A free and open source ImmersityAI alternative
Python tools for rendering, viewing and generating metric 3D depth videos. Tools for recovering and exporting camera pose and 3D geometry to popular formats as well as tools for projecting depthvideo ...
[CVPR 2025] Depth Any Camera: Zero-Shot Metric Depth Estimation from Any Camera
[CVPR 2025] Stereo Anywhere: Robust Zero-Shot Deep Stereo Matching Even Where Either Stereo or Mono Fail
[ICLR2025] GenPercept: Diffusion Models Trained with Large Data Are Transferable Visual Models
[CVPR 2025] Official implementation of the solvers and estimators proposed in the paper "Relative Pose Estimation through Affine Corrections of Monocular Depth Priors"
ONNX-compatible Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data
[WACV'25 Oral] Fine-Tuning Image-Conditional Diffusion Models is Easier than You Think
Official implementation for HybridDepth Model (WACV 2025, ISMAR 2024)
A curated list of recent monocular depth estimation papers
Python tools for rendering, viewing and generating metric 3D depth videos. Tools for recovering and exporting camera pose and 3D geometry to popular formats as well as tools for projecting depthvideo ...
[CVPR 2025] Depth Any Camera: Zero-Shot Metric Depth Estimation from Any Camera
[CVPR 2025] Video Depth Anything: Consistent Depth Estimation for Super-Long Videos
[CVPR 2025] Official implementation of the solvers and estimators proposed in the paper "Relative Pose Estimation through Affine Corrections of Monocular Depth Priors"
[CVPR 2025] Stereo Anywhere: Robust Zero-Shot Deep Stereo Matching Even Where Either Stereo or Mono Fail
[CVPR'25] MoGe: Unlocking Accurate Monocular Geometry Estimation for Open-Domain Images with Optimal Training Supervision
[ICLR2025] GenPercept: Diffusion Models Trained with Large Data Are Transferable Visual Models
Official implementation for HybridDepth Model (WACV 2025, ISMAR 2024)
[NeurIPS 2024] Depth Anything V2. A More Capable Foundation Model for Monocular Depth Estimation
A curated list of recent monocular depth estimation papers
Monocular Depth Estimation Toolbox and Benchmark. [Arxiv'24 ScaleDepth, TCSVT'24 Plane2Depth, TIP'24 Binsformer]
Rankings include: Align3R BetterDepth Buffer Anytime ChronoDepth CUT3R Deep3D Depth Any Video Depth Anything Depth Pro DepthCrafter Diffusion E2E FT FutureDepth GRIN L4P Metric3D MoGe MonST3R NVDS NVD...
[MICCAI'2024] EndoDAC: Efficient Adapting Foundation Model for Self-Supervised Depth Estimation from Any Endoscopic Camera
State-of-the-art papers for depth estimation of 360 images.
A toolbox for benchmarking SOTA discriminative and generative geometry estimation models.
The repo for "Metric3D: Towards Zero-shot Metric 3D Prediction from A Single Image" and "Metric3Dv2: A Versatile Monocular Geometric Foundation Model..."
ONNX-compatible Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data
[NeurIPS 2024] Depth Anything V2. A More Capable Foundation Model for Monocular Depth Estimation
[CVPR'25] MoGe: Unlocking Accurate Monocular Geometry Estimation for Open-Domain Images with Optimal Training Supervision
[CVPR 2025] Video Depth Anything: Consistent Depth Estimation for Super-Long Videos
[WACV'25 Oral] Fine-Tuning Image-Conditional Diffusion Models is Easier than You Think
[ICLR2025] GenPercept: Diffusion Models Trained with Large Data Are Transferable Visual Models
[CVPR 2025] Stereo Anywhere: Robust Zero-Shot Deep Stereo Matching Even Where Either Stereo or Mono Fail
Official implementation for HybridDepth Model (WACV 2025, ISMAR 2024)
[CVPR 2025] Depth Any Camera: Zero-Shot Metric Depth Estimation from Any Camera
[CVPR 2025] Official implementation of the solvers and estimators proposed in the paper "Relative Pose Estimation through Affine Corrections of Monocular Depth Priors"
Python scripts performing Metric Monocular Depth Estimation using the Unidepth model in ONNX.
[ECCV 2024] Diffusion Models for Monocular Depth Estimation: Overcoming Challenging Conditions
Monocular Depth Estimation Toolbox and Benchmark. [Arxiv'24 ScaleDepth, TCSVT'24 Plane2Depth, TIP'24 Binsformer]
A toolbox for benchmarking SOTA discriminative and generative geometry estimation models.
Python tools for rendering, viewing and generating metric 3D depth videos. Tools for recovering and exporting camera pose and 3D geometry to popular formats as well as tools for projecting depthvideo ...
[ECCV 2024] Mono-ViFI: A Unified Learning Framework for Self-supervised Single- and Multi-frame Monocular Depth Estimation
PrimeDepth: Efficient Monocular Depth Estimation with a Stable Diffusion Preimage
[NeurIPS 2024] Depth Anything V2. A More Capable Foundation Model for Monocular Depth Estimation
[CVPR 2024] Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data. Foundation Model for Monocular Depth Estimation
[CVPR 2024 - Oral, Best Paper Award Candidate] Marigold: Repurposing Diffusion-Based Image Generators for Monocular Depth Estimation
The repo for "Metric3D: Towards Zero-shot Metric 3D Prediction from A Single Image" and "Metric3Dv2: A Versatile Monocular Geometric Foundation Model..."
[CVPR'25] MoGe: Unlocking Accurate Monocular Geometry Estimation for Open-Domain Images with Optimal Training Supervision
Code for robust monocular depth estimation described in "Ranftl et. al., Towards Robust Monocular Depth Estimation: Mixing Datasets for Zero-shot Cross-dataset Transfer, TPAMI 2022"
[CVPR 2025] Video Depth Anything: Consistent Depth Estimation for Super-Long Videos
🌊 Images to → 3D Parallax effect video. A free and open source ImmersityAI alternative
[WACV'25 Oral] Fine-Tuning Image-Conditional Diffusion Models is Easier than You Think
ONNX-compatible Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data
[CVPR'2024] Official implementation of the paper "ECoDepth: Effective Conditioning of Diffusion Models for Monocular Depth Estimation"
[ICLR2025] GenPercept: Diffusion Models Trained with Large Data Are Transferable Visual Models
Official implementation for HybridDepth Model (WACV 2025, ISMAR 2024)
[CVPR 2025] Stereo Anywhere: Robust Zero-Shot Deep Stereo Matching Even Where Either Stereo or Mono Fail
Rankings include: Align3R BetterDepth Buffer Anytime ChronoDepth CUT3R Deep3D Depth Any Video Depth Anything Depth Pro DepthCrafter Diffusion E2E FT FutureDepth GRIN L4P Metric3D MoGe MonST3R NVDS NVD...
[CVPR 2025] Official implementation of the solvers and estimators proposed in the paper "Relative Pose Estimation through Affine Corrections of Monocular Depth Priors"
[CVPR 2025] Depth Any Camera: Zero-Shot Metric Depth Estimation from Any Camera
[CVPR'25] MoGe: Unlocking Accurate Monocular Geometry Estimation for Open-Domain Images with Optimal Training Supervision
[CVPR'2024] Official implementation of the paper "ECoDepth: Effective Conditioning of Diffusion Models for Monocular Depth Estimation"
[ICLR2025] GenPercept: Diffusion Models Trained with Large Data Are Transferable Visual Models
Python scripts performing Metric Monocular Depth Estimation using the Unidepth model in ONNX.
Monocular Depth Estimation Toolbox and Benchmark. [Arxiv'24 ScaleDepth, TCSVT'24 Plane2Depth, TIP'24 Binsformer]
Rankings include: Align3R BetterDepth Buffer Anytime ChronoDepth CUT3R Deep3D Depth Any Video Depth Anything Depth Pro DepthCrafter Diffusion E2E FT FutureDepth GRIN L4P Metric3D MoGe MonST3R NVDS NVD...
[CVPR 2025] Video Depth Anything: Consistent Depth Estimation for Super-Long Videos
[CVPR 2025] Depth Any Camera: Zero-Shot Metric Depth Estimation from Any Camera
🌊 Images to → 3D Parallax effect video. A free and open source ImmersityAI alternative
[CVPR 2025] Stereo Anywhere: Robust Zero-Shot Deep Stereo Matching Even Where Either Stereo or Mono Fail
A curated list of recent monocular depth estimation papers
A toolbox for benchmarking SOTA discriminative and generative geometry estimation models.
[IPCAI'2024 (IJCARS special issue)] Surgical-DINO: Adapter Learning of Foundation Models for Depth Estimation in Endoscopic Surgery
The repo for "Metric3D: Towards Zero-shot Metric 3D Prediction from A Single Image" and "Metric3Dv2: A Versatile Monocular Geometric Foundation Model..."
TouchDesigner implementation for Depth Anything and TensorRT monocular depth estimation.
Using PyTorch's MiDaS model and Open3D's point cloud to map a scene in 3D 🏞️🔭
ONNX-compatible Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data
State-of-the-art papers for depth estimation of 360 images.
TensorRT implementation of Depth-Anything V1, V2