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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

Showing 5175 of 876 papers

TitleStatusHype
UniDepthV2: Universal Monocular Metric Depth Estimation Made SimplerCode5
Distill Any Depth: Distillation Creates a Stronger Monocular Depth EstimatorCode4
OrchardDepth: Precise Metric Depth Estimation of Orchard Scene from Monocular Camera Images0
Self-supervised Monocular Depth Estimation Robust to Reflective Surface Leveraged by Triplet Mining0
Monocular Depth Estimation and Segmentation for Transparent Object with Iterative Semantic and Geometric FusionCode1
CDGS: Confidence-Aware Depth Regularization for 3D Gaussian SplattingCode1
SHADeS: Self-supervised Monocular Depth Estimation Through Non-Lambertian Image DecompositionCode0
Pre-training Auto-regressive Robotic Models with 4D Representations0
Deep Neural Networks for Accurate Depth Estimation with Latent Space Features0
CoL3D: Collaborative Learning of Single-view Depth and Camera Intrinsics for Metric 3D Shape Recovery0
MetaFE-DE: Learning Meta Feature Embedding for Depth Estimation from Monocular Endoscopic Images0
Leveraging Stable Diffusion for Monocular Depth Estimation via Image Semantic Encoding0
PromptMono: Cross Prompting Attention for Self-Supervised Monocular Depth Estimation in Challenging Environments0
Enhancing Monocular Depth Estimation with Multi-Source Auxiliary TasksCode0
Survey on Monocular Metric Depth Estimation0
Video Depth Anything: Consistent Depth Estimation for Super-Long VideosCode5
RDG-GS: Relative Depth Guidance with Gaussian Splatting for Real-time Sparse-View 3D Rendering0
HSPFormer: Hierarchical Spatial Perception Transformer for Semantic SegmentationCode1
MonSter: Marry Monodepth to Stereo Unleashes PowerCode4
StereoGen: High-quality Stereo Image Generation from a Single Image0
A Critical Synthesis of Uncertainty Quantification and Foundation Models in Monocular Depth Estimation0
RePoseD: Efficient Relative Pose Estimation With Known Depth InformationCode1
Relative Pose Estimation through Affine Corrections of Monocular Depth PriorsCode3
DepthMaster: Taming Diffusion Models for Monocular Depth EstimationCode2
Vision-Language Embodiment for Monocular Depth Estimation0
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