Depth Estimation
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Benchmarks
Stanford2D3D Panoramic
NYU-Depth V2
DCM
ScanNetV2
eBDtheque
Cityscapes test
DIODE
KITTI 2015
Mars DTM Estimation
ScanNet
4D Light Field Dataset
KITTI Eigen split
Matterport3D
Taskonomy
Most implemented
High Quality Monocular Depth Estimation via Transfer Learning
DINOv2: Learning Robust Visual Features without Supervision
Deeper Depth Prediction with Fully Convolutional Residual Networks
Towards Robust Monocular Depth Estimation: Mixing Datasets for Zero-shot Cross-dataset Transfer
Unsupervised Monocular Depth Estimation with Left-Right Consistency
Vision Transformers for Dense Prediction
Papers
DART: Depth-as-Target Pretraining for Surgical Vision Foundation Models
Vision foundation models (VFMs) are valuable in data-scarce domains such as surgery, where a single pretrained backbone can provide rich representations for many downstream tasks. Yet the dominant self-supervised pretrai…
Depth EstimationNeighbor-Aware View Synthesis for Restoring Missing Views in Light-Field Camera Arrays
In light-field (LF) imaging systems, dense spatial sampling from a camera array enables powerful post-capture capabilities such as refocusing and depth estimation. However, real-world LF capture is often affected by hard…
Depth EstimationGeometry-Grounded Unified 3D Perception for Autonomous Driving
Camera-based autonomous driving perception requires a shared representation that preserves metric 3D structure across synchronized multi-camera streams. However, existing image-based frameworks often rely on backbones pr…
3D Object DetectionAutonomous DrivingDepth EstimationSpatial Memory Agent: Experience-Grounded Procedure Memory for Spatial Intelligence
Spatial intelligence is becoming a foundation for embodied agents, robotic planning, and multimodal assistants. To improve the spatial reasoning ability of VLM agents, existing work has mainly followed two lines. One lin…
Reinforcement LearningSpatial Reasoning3D ReconstructionDepth EstimationBoosting Generalizable Depth Estimation in Endoscopy by Mixture of Lightweight Experts and Intrinsic Image Alignment
Depth estimation is a significant task for 3D perception in endoscopic surgeries. However, illumination interference and feature diversity in various endoscopic scenes are still challenges for generalizable depth estimat…
parameter-efficient fine-tuningDepth EstimationBoosting Robustness for All-Weather Self-Supervised Depth Estimation in Autonomous Driving
Self-supervised depth estimation is challenging for safe autonomous driving under various adverse weather conditions due to sensor perception degradation. These challenges arise from two main aspects. Firstly, adverse co…
Knowledge DistillationAutonomous DrivingDepth Estimation