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Depth Estimation on NYUv2 1 (test)

0.109RMSEOurs (direct optimization approach)
0.073960.310480.5470.78352Feb 18, 2026

Evaluation results

MethodLinks
Ours (direct optimization approach)Supervision=Analytical2026.020.1090.83799.299.499.5
Carvalho et al.Supervision=Supervised, Modality=Depth-from-Defocus (DfD)2026.020.1443.6———
Song & LeeSupervision=Supervised, Modality=Depth-from-Defocus (DfD)2026.020.1542.8———
Yang et al. (DFF-DFV)Supervision=Supervised, Modality=Depth-from-Defocus (DfD)2026.020.23244.596.79899
Nazir et al.Supervision=Supervised, Modality=Monocular Depth Estimation2026.020.2442.991.497.999.5
Yang et al. (DFF-FV)Supervision=Supervised, Modality=Depth-from-Defocus (DfD)2026.020.2854795.697.998.8
Si et al.Supervision=Self-supervised2026.020.325179597.998.7
Anwar et al.Supervision=Supervised, Modality=Monocular Depth Estimation2026.020.3479.4———
Chang & WetzsteinSupervision=Supervised, Modality=Monocular Depth Estimation2026.020.4338.7939999.9
Fu et al. (DORN)Supervision=Supervised, Modality=Monocular Depth Estimation2026.020.50911.582.896.599.2
Dong et al.Supervision=Supervised, Modality=Monocular Depth Estimation2026.020.53714.679.995.198.8
Tang et al.Supervision=Supervised, Modality=Monocular Depth Estimation2026.020.57913.282.693.699.2
Xu et al. (MS-CRF)Supervision=Supervised, Modality=Monocular Depth Estimation2026.020.58612.181.195.498.7
Lu et al. (Focus-Net)Supervision=Self-supervised, Modality=w/ AIF2026.020.61117.274.889.294.9
Lu et al. (Defocus-Net)Supervision=Self-supervised, Modality=w/ AIF2026.020.62317.673.288.795.1
Li et al.Supervision=Supervised, Modality=Monocular Depth Estimation2026.020.63514.378.895.899.1
Gur & WolfSupervision=Self-supervised, Modality=w/ AIF2026.020.64918.47288.795.1
Suwajanakorn et al.Supervision=Analytical2026.020.952568.880.291.7
Moeller et al.Supervision=Analytical2026.020.98526.36777.891.2