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홈
SOTA
Depth Estimation
Depth Estimation On Stanford2D3D Panoramic
Depth Estimation On Stanford2D3D Panoramic
평가 지표
RMSE
absolute relative error
평가 결과
이 벤치마크에서 각 모델의 성능 결과
Columns
모델 이름
RMSE
absolute relative error
Paper Title
Repository
PanoDepth
0.3747
0.0972
PanoDepth: A Two-Stage Approach for Monocular Omnidirectional Depth Estimation
-
GLPanoDepth
0.3493
-
GLPanoDepth: Global-to-Local Panoramic Depth Estimation
HiMODE
0.2619
0.0532
HiMODE: A Hybrid Monocular Omnidirectional Depth Estimation Model
-
HoHoNet (ResNet-101)
0.3834
0.1014
HoHoNet: 360 Indoor Holistic Understanding with Latent Horizontal Features
FreDSNet
0.2727
0.0952
FreDSNet: Joint Monocular Depth and Semantic Segmentation with Fast Fourier Convolutions
UniFuse with fusion
0.3691
0.1114
UniFuse: Unidirectional Fusion for 360$^{circ}$ Panorama Depth Estimation
Jin et al.
0.421
-
Geometric Structure Based and Regularized Depth Estimation From 360 Indoor Imagery
-
OmniDepth
0.6152
0.1996
OmniDepth: Dense Depth Estimation for Indoors Spherical Panoramas
BiFuse with fusion
0.4142
0.1209
BiFuse: Monocular 360 Depth Estimation via Bi-Projection Fusion
Neural Contourlet Network
0.3528
0.0558
Neural Contourlet Network for Monocular 360 Depth Estimation
SliceNet
0.3684
0.0744
SliceNet: Deep Dense Depth Estimation From a Single Indoor Panorama Using a Slice-Based Representation
-
PanoFormer
0.3083
0.0405
PanoFormer: Panorama Transformer for Indoor 360 Depth Estimation
DisConv
0.369
0.176
Distortion-Aware Convolutional Filters for Dense Prediction in Panoramic Images
-
NLFB
0.2776
0.0649
Improving 360 Monocular Depth Estimation via Non-local Dense Prediction Transformer and Joint Supervised and Self-supervised Learning
OmniFusion (2-iter)
0.3474
0.095
OmniFusion: 360 Monocular Depth Estimation via Geometry-Aware Fusion
ACDNet
0.341
0.0984
ACDNet: Adaptively Combined Dilated Convolution for Monocular Panorama Depth Estimation
BiFuse++
0.372
0.1117
BiFuse++: Self-supervised and Efficient Bi-projection Fusion for 360 Depth Estimation
SphereDepth
0.4512
0.1158
SphereDepth: Panorama Depth Estimation from Spherical Domain
-
0 of 18 row(s) selected.
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