360 Depth Estimation on 3D60 (test) benchmark leaderboard · SOTA2 Research

360 Depth Estimation on 3D60 (test)

0.0358Abs RelHRDFuse

Evaluation Results

Method	Links
HRDFuse2023.03		0.0358	0.01	0.1555	0.0592	98.94	99.73	99.9
HRDFuse2023.03		0.0363	0.0103	0.1565	0.0594	98.88	99.74	99.9
OmniFusion (2-iter)2023.03		0.043	0.0114	0.1808	0.0735	98.59	99.69	99.89
PanoFormer2023.03		0.0442	0.0124	0.1691	0.0676	98.61	99.66	99.87
UniFuse with fusion2023.03		0.0466	—	0.1968	—	98.35	99.65	99.87
ODE-CNN2023.03		0.0467	0.0124	0.1728	0.0793	98.14	99.67	99.89
OmniFusion (1-iter)2023.03		0.0469	0.0127	0.188	0.0792	98.27	99.63	99.88
BiFuse with fusion2023.03		0.0615	—	0.244	—	96.99	99.27	99.69
FCRN2023.03		0.0699	0.2833	—	—	95.32	99.05	99.66
RectNet2023.03		0.0702	0.0297	0.2911	0.1017	95.74	99.33	99.79
Mapped Convolution2023.03		0.0965	0.0371	0.2966	0.1413	90.68	98.54	99.67