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Monocular Depth Estimation

Monocular Depth Estimation is the task of estimating the depth value (distance relative to the camera) of each pixel given a single (monocular) RGB image. This challenging task is a key prerequisite for determining scene understanding for applications such as 3D scene reconstruction, autonomous driving, and AR. State-of-the-art methods usually fall into one of two categories: designing a complex network that is powerful enough to directly regress the depth map, or splitting the input into bins or windows to reduce computational complexity. The most popular benchmarks are the KITTI and NYUv2 datasets. Models are typically evaluated using RMSE or absolute relative error.

Source: Defocus Deblurring Using Dual-Pixel Data

Papers

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Showing 301–325 of 876 papers

TitleStatusHype
Robust Geometry-Preserving Depth Estimation Using Differentiable Rendering—0
Deep Neighbor Layer Aggregation for Lightweight Self-Supervised Monocular Depth EstimationCode0
X-PDNet: Accurate Joint Plane Instance Segmentation and Monocular Depth Estimation with Cross-Task Distillation and Boundary CorrectionCode1
Towards Better Data Exploitation in Self-Supervised Monocular Depth EstimationCode1
Two-in-One Depth: Bridging the Gap Between Monocular and Binocular Self-supervised Depth EstimationCode1
SQLdepth: Generalizable Self-Supervised Fine-Structured Monocular Depth EstimationCode1
Learning to Upsample by Learning to SampleCode1
Real-time Monocular Depth Estimation on Embedded Systems—0
AltNeRF: Learning Robust Neural Radiance Field via Alternating Depth-Pose Optimization—0
Robust Monocular Depth Estimation under Challenging Conditions—0
Discretization-Induced Dirichlet Posterior for Robust Uncertainty Quantification on RegressionCode0
Improving Depth Gradient Continuity in Transformers: A Comparative Study on Monocular Depth Estimation with CNN—0
DS-Depth: Dynamic and Static Depth Estimation via a Fusion Cost VolumeCode1
Out-of-Distribution Detection for Monocular Depth EstimationCode1
Self-Supervised Monocular Depth Estimation by Direction-aware Cumulative Convolution NetworkCode1
FrozenRecon: Pose-free 3D Scene Reconstruction with Frozen Depth Models—0
SAAM: Stealthy Adversarial Attack on Monocular Depth Estimation—0
EndoDepthL: Lightweight Endoscopic Monocular Depth Estimation with CNN-Transformer—0
Robust Self-Supervised Extrinsic Self-Calibration—0
Digging Into Uncertainty-based Pseudo-label for Robust Stereo MatchingCode1
Prompt Guided Transformer for Multi-Task Dense PredictionCode1
Learning Depth Estimation for Transparent and Mirror SurfacesCode1
FS-Depth: Focal-and-Scale Depth Estimation from a Single Image in Unseen Indoor Scene—0
MAMo: Leveraging Memory and Attention for Monocular Video Depth Estimation—0
MiDaS v3.1 -- A Model Zoo for Robust Monocular Relative Depth Estimation—0
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