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Monocular Depth Estimation
Monocular Depth Estimation On Kitti Eigen
Monocular Depth Estimation On Kitti Eigen
Metrics
absolute relative error
Results
Performance results of various models on this benchmark
Columns
Model Name
absolute relative error
Paper Title
Repository
CC
0.140
Competitive Collaboration: Joint Unsupervised Learning of Depth, Camera Motion, Optical Flow and Motion Segmentation
AFNet
0.044
Adaptive Fusion of Single-View and Multi-View Depth for Autonomous Driving
SIGNet
0.133
SIGNet: Semantic Instance Aided Unsupervised 3D Geometry Perception
PrimeDepth
0.079
PrimeDepth: Efficient Monocular Depth Estimation with a Stable Diffusion Preimage
DPT-Hybrid
0.062
Vision Transformers for Dense Prediction
VNL
0.072
Enforcing geometric constraints of virtual normal for depth prediction
UniK3D (FT, metric)
0.037
-
-
DINOv2 (ViT-g/14 frozen, w/ DPT decoder)
0.0652
DINOv2: Learning Robust Visual Features without Supervision
MAMo
0.049
MAMo: Leveraging Memory and Attention for Monocular Video Depth Estimation
-
D-Net
0.056
D-Net: A Generalised and Optimised Deep Network for Monocular Depth Estimation
ECoDepth
0.048
ECoDepth: Effective Conditioning of Diffusion Models for Monocular Depth Estimation
EVP
0.048
EVP: Enhanced Visual Perception using Inverse Multi-Attentive Feature Refinement and Regularized Image-Text Alignment
GLPDepth
0.057
Global-Local Path Networks for Monocular Depth Estimation with Vertical CutDepth
ScaleDepth-K
0.048
ScaleDepth: Decomposing Metric Depth Estimation into Scale Prediction and Relative Depth Estimation
3Net
0.126
Learning monocular depth estimation with unsupervised trinocular assumptions
DiPE
0.112
DiPE: Deeper into Photometric Errors for Unsupervised Learning of Depth and Ego-motion from Monocular Videos
AdaBins
0.058
AdaBins: Depth Estimation using Adaptive Bins
GASDA
0.149
Geometry-Aware Symmetric Domain Adaptation for Monocular Depth Estimation
Marigold
0.099
Repurposing Diffusion-Based Image Generators for Monocular Depth Estimation
Manydepth2
0.091
Manydepth2: Motion-Aware Self-Supervised Multi-Frame Monocular Depth Estimation in Dynamic Scenes
0 of 79 row(s) selected.
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