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Depth Estimation on NYUv2 1 (test)

0.109RMSE

Ours (direct optimization approach)

Updated 4d ago

Evaluation Results

Method	Links
Ours (direct optimization approach) 2026.02		0.109	0.837	99.2	99.4	99.5
Carvalho et al. 2026.02		0.144	3.6	-	-	-
Song & Lee 2026.02		0.154	2.8	-	-	-
Yang et al. (DFF-DFV) 2026.02		0.232	44.5	96.7	98	99
Nazir et al. 2026.02		0.244	2.9	91.4	97.9	99.5
Yang et al. (DFF-FV) 2026.02		0.285	47	95.6	97.9	98.8
Si et al. 2026.02		0.325	17	95	97.9	98.7
Anwar et al. 2026.02		0.347	9.4	-	-	-
Chang & Wetzstein 2026.02		0.433	8.7	93	99	99.9
Fu et al. (DORN) 2026.02		0.509	11.5	82.8	96.5	99.2
Dong et al. 2026.02		0.537	14.6	79.9	95.1	98.8
Tang et al. 2026.02		0.579	13.2	82.6	93.6	99.2
Xu et al. (MS-CRF) 2026.02		0.586	12.1	81.1	95.4	98.7
Lu et al. (Focus-Net) 2026.02		0.611	17.2	74.8	89.2	94.9
Lu et al. (Defocus-Net) 2026.02		0.623	17.6	73.2	88.7	95.1
Li et al. 2026.02		0.635	14.3	78.8	95.8	99.1
Gur & Wolf 2026.02		0.649	18.4	72	88.7	95.1
Suwajanakorn et al. 2026.02		0.95	25	68.8	80.2	91.7
Moeller et al. 2026.02		0.985	26.3	67	77.8	91.2