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Depth Estimation on NYU v2 (test)

98.9Threshold Accuracy (delta < 1.25)VGGT
87.04490.12293.296.278Jul 13, 2019Jul 25, 2020Aug 7, 2021Aug 21, 2022Sep 3, 2023Sep 15, 2024Sep 29, 2025

Evaluation results

MethodLinks
VGGTscale_mode=relative (aligned to ground-truth)2025.0998.9——————————0.0110.1030.022——————————————————————
Vid-LLM2025.0998.7——————————0.010.1090.025——————————————————————
Depth AnythingTraining=Fine-tuning, Backbone=ViT-L, Framework=ZoeDepth2024.0198.4————99.8100————0.0240.2060.056——————————————————————
Depth Anything V2Encoder=ViT-L2024.0698.4————99.8100————0.0240.2060.056——————————————————————
DepthAnything2025.0998.4——————————0.0240.2060.056——————————————————————
Depth Anything V2Encoder=ViT-B2024.0697.7————99.7100————0.0270.2280.063——————————————————————
TADP-40Schedule=default schedule, Minimum caption length=402023.0997.6—0.062——99.799.9————0.0270.225———————————————————————
VPD(LS)Schedule=default schedule, Latent Scaling=true2023.0997.1—0.064——99.699.9————0.0280.235———————————————————————
CSTM_labelBackbone=ConvNeXt-large, Zero-shot transfer=true, Manually aligned scale and shift=true2023.0796.6————————————0.05——————————————————————
VPD(R)Schedule=default schedule, Variant=R2023.0996.5—0.068——99.599.9————0.0290.248———————————————————————
VPDSchedule=default schedule2023.0996.4—0.069——99.599.9————0.030.254———————————————————————
VPDTraining=Fine-tuning2024.0196.4————99.599.9————0.030.2540.069——————————————————————
VPDEncoder=ViT-L scale2024.0696.4————99.599.9————0.030.2540.069——————————————————————
VPD2025.0996.4——————————0.030.2540.069——————————————————————
CSTM_imageBackbone=ConvNeXt-large, #Params=198M, Zero-shot transfer=true, Manually aligned scale and shift=true2023.0796.3————————————0.058——————————————————————
Depth Anything V2Encoder=ViT-S2024.0696.1————99.699.9————0.0320.2610.073——————————————————————
Focal stackInput Source=Focal Stack, AIF Source=syn. I_AIF2022.0395.9————9999.7—————0.31———————————————————————
ZoeD-M12-Npre-training=Relative Depth2023.0295.5—0.075——99.599.9————0.0320.27———————————————————————
ZoeDepthSchedule=default schedule2023.0995.5—0.075——99.599.9————0.0320.27———————————————————————
Focal stackInput Source=Focal Stack, AIF Source=g.t. I_AIF2022.0395.5————98.599.7—————0.244———————————————————————
AiTSchedule=default schedule2023.0995.4—0.076——99.499.9————0.0330.275———————————————————————
AiTTraining=Fine-tuning2024.0195.4————99.499.9————0.0330.2750.076——————————————————————
AiTEncoder=ViT-L scale2024.0695.4————99.499.9————0.0330.2750.076——————————————————————
AiT2025.0995.4——————————0.0330.2750.076——————————————————————
ZoeD-M12-NKpre-training=Relative Depth, multi-dataset-training=true2023.0295.3—0.077——99.599.9————0.0330.277———————————————————————
ZoeDepth2025.0995.3——————————0.0320.270.075——————————————————————
ZoeDepthTraining=Fine-tuning, reproduced=true2024.0195.1————99.499.9————0.0330.2820.077——————————————————————
ZoeDepthEncoder=ViT-L scale2024.0695.1————99.499.9————0.0330.2820.077——————————————————————
SwinV2-LSchedule=default schedule2023.0994.9—0.083——99.499.9————0.0350.287———————————————————————
SwinV2-LTraining=Fine-tuning2024.0194.9————99.499.9————0.0350.2870.083——————————————————————
SwinV2Encoder=ViT-L scale2024.0694.9————99.499.9————0.0350.2870.083——————————————————————
SwinV2-L2025.0994.9——————————0.0350.2870.083——————————————————————
HDNBackbone=ViT-Large, #Params=306M, Zero-shot transfer=true, Manually aligned scale and shift=true2023.0794.8————————————0.069——————————————————————
ZoeD-X-Npre-training=ImageNet2023.0294.6—0.082——99.499.9————0.0350.294———————————————————————
OmnidataBackbone=ViT-base, Zero-shot transfer=true, Manually aligned scale and shift=true2023.0794.5————————————0.074——————————————————————
4M-LPre-training data=CC12M, Data aug.=false, Extra labels=true2023.1294.4———————————————————————————————————
Niklaus et al.Supervision=supervised2021.0894————99100————0.030.30.08——————————————————————
MAE LPre-training data=IN-1K, Data aug.=true, Extra labels=false2023.1293.6———————————————————————————————————
IEBinsEncoder=ViT-L scale2024.0693.6————99.299.8————0.0380.3140.087——————————————————————
TADP-0Schedule=fast schedule, 1 epoch, Minimum caption length=02023.0993.5—0.082——99.399.9————0.0380.328———————————————————————
NeW-CRFs + La + Ltloss_terms=La + Lt2023.0193.2—0.089—————0.321——0.039————————————————————————
VPD(LS)Schedule=fast schedule, 1 epoch, Latent Scaling=true2023.0992.6—0.097——99.299.8————0.0410.332———————————————————————
NeWCRFs2023.0292.2—0.095——99.299.8————0.0410.334———————————————————————
NeW-CRFs2023.0192.2—0.095—————0.334——0.041————————————————————————
4M-BPre-training data=CC12M, Data aug.=false, Extra labels=true2023.1292———————————————————————————————————
Jiao et al.Joint Task Learning=true2019.0791.7—0.098——98.399.6—0.329——0.04————————————————————————
LeresBackbone=ResNeXt101, Zero-shot transfer=true, Manually aligned scale and shift=true2023.0791.6————————————0.09——————————————————————
Global-Local Path NetworksCorruption Type=Clean2022.0191.5————98.899.70.049—0.124——0.3440.098——————————————————————
Jun et al.2023.0291.3—0.098——98.799.8————0.0420.355———————————————————————
VPD(R)Schedule=fast schedule, 1 epoch, Variant=R2023.0991—0.1——98.799.7————0.0420.34———————————————————————
VPDSchedule=fast schedule, 1 epoch2023.0990.9—0.098——98.999.8————0.0430.349———————————————————————
CrossFlowZero-shot=true, # Training samples=74K2024.1290.8————————————0.103——————————————————————
LocalBinsEncoder=EfficientNet-B5, Number of Parameters=742022.0390.7—0.099——98.799.8—0.357——0.042————————————————————————
LocalBins2023.0290.7—0.099——98.799.8————0.0420.357———————————————————————
DPTSupervision=Supervised, Train on NYUv2=true2021.1290.4————98.899.8—————0.3570.11——————————————————————
DPTTraining=Fine-tuning2024.0190.4————98.899.8————0.0450.3570.11——————————————————————
DPTEncoder=ViT-L scale2024.0690.4————98.899.8————0.0450.3570.11——————————————————————
MarigoldZero-shot=true, # Training samples=74K2024.1290.4————————————0.105——————————————————————
DPT2025.0990.4——————————0.0450.3570.11——————————————————————
AdaBinsEncoder=EfficientNet-B5, Number of Parameters=782022.0390.3—0.103——98.499.7—0.364——0.044————————————————————————
AdaBins2020.1190.3—0.103——98.499.7————0.0440.364———————————————————————
AdaBinsSupervision=Supervised, Train on NYUv2=true2021.1290.3————98.499.7—————0.3640.103——————————————————————
AdabinsCorruption Type=Clean, Weights=Pre-trained2022.0190.3————98.499.70.057—0.13——0.3640.103——————————————————————
AdaBins2023.0290.3—0.103——98.499.7————0.0440.364———————————————————————
Adabins2023.0190.3—0.103—————0.364——0.044————————————————————————
DPT-largeBackbone=ViT-Large, Zero-shot transfer=true, Manually aligned scale and shift=true2023.0790.3————————————0.098——————————————————————
AdaBinsTraining=Fine-tuning2024.0190.3————98.499.7————0.0440.3640.103——————————————————————
AdaBinsEncoder=ViT-L scale2024.0690.3————98.499.7————0.0440.3640.103——————————————————————
AdaBinsSupervision=supervised2021.0890.3————98.499.7————0.0440.3640.103——————————————————————
DPTZero-shot=true, # Training samples=1.2M + 188K2024.1290.1————————————0.1——————————————————————
TransDepthAGD=true, ViT=true, Full=true2021.0390—0.106——98.399.6————0.0450.365———————————————————————
P3DepthTraining=Fine-tuning2024.0189.8————98.199.6————0.0430.3560.104——————————————————————
P3DepthEncoder=ViT-L scale2024.0689.8————98.199.6————0.0430.3560.104——————————————————————
P3Depth2025.0989.8——————————0.0430.3560.104——————————————————————
DeiT III LPre-training data=IN-21K, Data aug.=true, Extra labels=false2023.1289.6———————————————————————————————————
MAE BPre-training data=IN-1K, Data aug.=true, Extra labels=false2023.1289.1———————————————————————————————————
MultiMAE BPre-training data=IN-1K, Data aug.=true, Extra labels=true2023.1289———————————————————————————————————
SharpNet2020.1088.8————97.999.5————0.0470.4950.139——————————————————————
TransDepth w/ ViTAGD=false, ViT=true2021.0388.7—0.109——98.199.6————0.0470.388———————————————————————
BTS2020.1088.5————97.899.4————0.0470.3920.11——————————————————————
DSN†setup=most accurate overall results2020.1088.5————97.999.4————0.0430.3920.101——————————————————————
BTSBackbone=DenseNet2019.0788.5————97.899.4————0.0470.3920.11——————————————————————
BTSEncoder=DenseNet-161, Number of Parameters=472022.0388.5—0.11——97.899.4—0.392——0.047————————————————————————
BTS2020.1188.5—0.11——97.899.4————0.0470.392———————————————————————
BTSCorruption Type=Clean, Weights=Pre-trained2022.0188.5————97.899.40.066—0.142——0.3920.11——————————————————————
BTS2023.0288.5—0.11——97.899.4————0.0470.392———————————————————————
BTS2023.0188.5—0.11—————0.392——0.047————————————————————————
MiDaSBackbone=ResNeXt101, #Params=88M, Zero-shot transfer=true, Manually aligned scale and shift=true2023.0788.5————————————0.111——————————————————————
Huynh et al.2021.0388.2—0.108——9899.6—————0.412———————————————————————
DAV2020.1188.2—0.108——9899.6—————0.412———————————————————————
TransDepth w/ AGDAGD=true, ViT=false2021.0388.1—0.111——97.999.6————0.0480.393———————————————————————
BTSBackbone=ResNeXt2019.0788————97.799.4————0.0480.410.111——————————————————————
Ours: Baseline + RPD + ADFFJoint Task Learning=false2019.0787.8—0.111——97.799.4—0.514——0.048————————————————————————
Chen et al.Encoder=SENet, Number of Parameters=2102022.0387.8—0.111——97.799.4—0.514——0.048————————————————————————
Chen et al.2020.1187.8—0.111——97.799.4————0.0480.514———————————————————————
Chen et al.2023.0287.8—0.111——97.799.4————0.0480.514———————————————————————
Virtual Normal Loss (VNL)Backbone=ResNeXt-1012019.0787.5—0.108——97.699.4—0.416——0.048————————————————————————
VNL2020.1087.5————97.699.4————0.0480.4160.108——————————————————————
VNLSupervision=Supervised2021.0787.5————97.699.4—————0.4160.108——————————————————————
Yin et al.2021.0387.5—0.108——97.699.4————0.0480.416———————————————————————