[CVPR 2024] Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data. Foundation Model for Monocular Depth Estimation
[NeurIPS 2024] Depth Anything V2. A More Capable 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"
[CVPR 2024 - Oral, Best Paper Award Candidate] Marigold: Repurposing Diffusion-Based Image Generators for Monocular Depth Estimation
#计算机科学#Metric depth estimation from a single image
The repo for "Metric3D: Towards Zero-shot Metric 3D Prediction from A Single Image" and "Metric3Dv2: A Versatile Monocular Geometric Foundation Model..."
[CVPR 2025 Highlight] Video Depth Anything: Consistent Depth Estimation for Super-Long Videos
[CVPR'25 Oral] MoGe: Unlocking Accurate Monocular Geometry Estimation for Open-Domain Images with Optimal Training Supervision
🌊 Images to → 3D Parallax effect video. A free and open source ImmersityAI alternative
#计算机科学#Official implementation of Adabins: Depth Estimation using adaptive bins
[CVPR 2025] Video Depth without Video Models
Monocular Depth Prediction
[WACV'25 Oral] Fine-Tuning Image-Conditional Diffusion Models is Easier than You Think
#计算机科学#[ECCV 2020] Learning stereo from single images using monocular depth estimation networks
TensorRT implementation of Depth-Anything V1, V2
#计算机科学#ONNX-compatible Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data
PyTorch Implementation of introducing diffusion approach to 3D depth perception ECCV 2024
EndoSLAM Dataset and an Unsupervised Monocular Visual Odometry and Depth Estimation Approach for Endoscopic Videos: Endo-SfMLearner
#安卓#Pydnet on mobile devices
Learning Monocular Depth in Dynamic Scenes via Instance-Aware Projection Consistency (AAAI 2021)