OpenCodePapers

monocular-depth-estimation-on-kitti-eigen-1

Depth EstimationMonocular Depth Estimation
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PaperCodeabsolute relative errorRMSERMSE logSq RelDelta < 1.25Delta < 1.25^2Delta < 1.25^3ResolutionMonoTest framesModelNameReleaseDate
SPIdepth: Strengthened Pose Information for Self-supervised Monocular Depth Estimation✓ Link0.0713.6620.1530.5310.940.9730.9851024x320X1SPIdepth2024-04-18
PlaneDepth: Self-supervised Depth Estimation via Orthogonal Planes✓ Link0.0843.9810.1690.5490.9110.9680.9841280x384XPlaneDepth (S + 1280x384)2022-10-04
ProDepth: Boosting Self-Supervised Multi-Frame Monocular Depth with Probabilistic Fusion✓ Link0.0864.1390.1660.6290.9180.9690.984640x192O2(-1,0)ProDepth2024-07-12
Jasmine: Harnessing Diffusion Prior for Self-supervised Depth Estimation0.093.9440.1610.5810.9190.9720.9861024x320OJasmine2025-03-20
SCIPaD: Incorporating Spatial Clues into Unsupervised Pose-Depth Joint Learning✓ Link0.0904.0560.1660.6500.9180.9700.985640x192SCIPaD2024-07-07
DCPI-Depth: Explicitly Infusing Dense Correspondence Prior to Unsupervised Monocular Depth Estimation0.0904.1130.1670.6550.9140.9690.985ODCPI-Depth (M+1024x320)2024-05-27
Excavating the Potential Capacity of Self-Supervised Monocular Depth Estimation✓ Link0.0914.2070.1760.6460.9010.9660.9831024x320XEPCDepth(S+1024x320)2021-09-26
Manydepth2: Motion-Aware Self-Supervised Multi-Frame Monocular Depth Estimation in Dynamic Scenes✓ Link0.0914.2320.1700.6490.9090.9680.984640x192OManydepth2(M+640x192)2023-12-23
NimbleD: Enhancing Self-supervised Monocular Depth Estimation with Pseudo-labels and Large-scale Video Pre-training✓ Link0.0924.1940.1650.6460.9100.9700.986640x192ONimbleD-LiteMono-8M2024-08-26
MonoViT: Self-Supervised Monocular Depth Estimation with a Vision Transformer✓ Link0.0934.2020.1690.6710.9120.9690.9851024x320XMonoViT(MS+1024x320)2022-08-06
Manydepth2: Motion-Aware Self-Supervised Multi-Frame Monocular Depth Estimation in Dynamic Scenes✓ Link0.0944.2460.1700.6760.9090.9680.985640x192OManydepth2-NF(M+640x192)2023-12-23
Self-Supervised Monocular Depth Estimation with Internal Feature Fusion✓ Link0.0944.2500.1720.6780.9110.9680.984XDIFFNet (MS+1024x320)2021-10-18
DCPI-Depth: Explicitly Infusing Dense Correspondence Prior to Unsupervised Monocular Depth Estimation0.0954.2740.1700.6620.9020.9670.985DCPI-Depth (M+640x192)2024-05-27
TransDSSL: Transformer based Depth Estimation via Self-Supervised Learning✓ Link0.0954.3210.1720.7110.9060.9670.984OTransDSSL2022-08-05
DS-Depth: Dynamic and Static Depth Estimation via a Fusion Cost Volume✓ Link0.0954.3290.1730.6980.9050.9660.984DS-Depth2023-08-14
ProDepth: Boosting Self-Supervised Multi-Frame Monocular Depth with Probabilistic Fusion✓ Link0.0954.3450.1720.6930.9020.9670.985640x192OProDepth(M+640x192)2024-07-12
Channel-Wise Attention-Based Network for Self-Supervised Monocular Depth Estimation✓ Link0.0964.2640.1730.694CADepth-Net (MS+1024x320)2021-12-24
NimbleD: Enhancing Self-supervised Monocular Depth Estimation with Pseudo-labels and Large-scale Video Pre-training✓ Link0.0964.3040.1710.6840.9030.9690.986640x192ONimbleD-LiteMono2024-08-26
NimbleD: Enhancing Self-supervised Monocular Depth Estimation with Pseudo-labels and Large-scale Video Pre-training✓ Link0.0964.3330.1710.6970.9050.9690.986640x192ONimbled-SwiftDepth2024-08-26
Disentangling Object Motion and Occlusion for Unsupervised Multi-frame Monocular Depth✓ Link0.0964.4580.1750.7200.8970.9640.984XDynamicDepth (M+640x192)2022-03-29
NimbleD: Enhancing Self-supervised Monocular Depth Estimation with Pseudo-labels and Large-scale Video Pre-training✓ Link0.0974.3770.1720.7210.9040.9680.985640x192ONimbled-MD2-R502024-08-26
SCIPaD: Incorporating Spatial Clues into Unsupervised Pose-Depth Joint Learning✓ Link0.0984.3910.1750.7320.8970.9640.983640x192OSCIPaD(M+640x192)2024-07-07
NimbleD: Enhancing Self-supervised Monocular Depth Estimation with Pseudo-labels and Large-scale Video Pre-training✓ Link0.0984.4010.1740.7330.9010.9680.985640x192ONimbled-SwiftDepth-S2024-08-26
Towards Comprehensive Representation Enhancement in Semantics-guided Self-supervised Monocular Depth Estimation0.0994.1650.1710.6240.902 0.969 0.986CREMono(M + 1024x320 + Res50)2022-10-23
NimbleD: Enhancing Self-supervised Monocular Depth Estimation with Pseudo-labels and Large-scale Video Pre-training✓ Link0.0994.3700.1720.7090.8980.9670.986640x192ONimbleD-LiteMono-S2024-08-26
Feature-metric Loss for Self-supervised Learning of Depth and Egomotion✓ Link0.0994.4270.1840.6970.8890.9630.982FeatDepth-MS2020-07-21
Exploring Efficiency of Vision Transformers for Self-Supervised Monocular Depth Estimation✓ Link0.0994.4390.1780.7430.9040.9650.983VTDepthB2 (stereo supervision)2022-12-27
Excavating the Potential Capacity of Self-Supervised Monocular Depth Estimation✓ Link0.0994.4900.1830.7540.8880.9630.982EPCDepth(S+640x192)2021-09-26
NimbleD: Enhancing Self-supervised Monocular Depth Estimation with Pseudo-labels and Large-scale Video Pre-training✓ Link0.1004.4400.1750.7390.8980.9670.985640x192ONimbled-MD2-R182024-08-26
Monocular Depth Estimation through Virtual-world Supervision and Real-world SfM Self-Supervision✓ Link0.1014.4130.7030.8820.962MonoDEVSNet2021-03-22
HR-Depth: High Resolution Self-Supervised Monocular Depth Estimation✓ Link0.101HR-Depth-MS-1024X3202020-12-14
X-Distill: Improving Self-Supervised Monocular Depth via Cross-Task Distillation0.1024.4390.1800.6980.8950.9650.983X-Distill (M+1024x320)2021-10-24
CamLessMonoDepth: Monocular Depth Estimation with Unknown Camera Parameters0.102CamLessMonoDepth-1024x3202021-10-27
GCNDepth: Self-supervised Monocular Depth Estimation based on Graph Convolutional Network✓ Link0.1044.4940.1810.720GCNDepth2021-12-13
Feature-metric Loss for Self-supervised Learning of Depth and Egomotion✓ Link0.104FeatDepth-M2020-07-21
HR-Depth: High Resolution Self-Supervised Monocular Depth Estimation✓ Link0.104HR-Depth-M-1280x3842020-12-14
HR-Depth: High Resolution Self-Supervised Monocular Depth Estimation✓ Link0.104Lite-HR-Depth-T-1280x3842020-12-14
Deep Digging into the Generalization of Self-Supervised Monocular Depth Estimation✓ Link0.104640x192OMonoFormer2022-05-23
Exploring Efficiency of Vision Transformers for Self-Supervised Monocular Depth Estimation✓ Link0.1054.5300.1820.7620.8930.9640.983VTDepthB2 (monocular supervision)2022-12-27
CamLessMonoDepth: Monocular Depth Estimation with Unknown Camera Parameters0.105CamLessMonoDepth (V1)-640x1922021-10-27
Digging Into Self-Supervised Monocular Depth Estimation✓ Link0.106Monodepth2 MS2019-10-01
CamLessMonoDepth: Monocular Depth Estimation with Unknown Camera Parameters0.106CamLessMonoDepth (V2)-640x1922021-10-27
3D Packing for Self-Supervised Monocular Depth Estimation✓ Link0.107PackNet-SfM M2019-05-06
SharinGAN: Combining Synthetic and Real Data for Unsupervised Geometry Estimation✓ Link0.1093.770.190.6730.8640.9540.981SharinGAN2020-06-07
DCPI-Depth: Explicitly Infusing Dense Correspondence Prior to Unsupervised Monocular Depth Estimation0.1094.4960.679DCPI-Depth (M+832x256+SC-V3)2024-05-27
Digging Into Self-Supervised Monocular Depth Estimation✓ Link0.109Monodepth2 S2019-10-01
HR-Depth: High Resolution Self-Supervised Monocular Depth Estimation✓ Link0.109HR-Depth-M-640x1922020-12-14
Multimodal Scale Consistency and Awareness for Monocular Self-Supervised Depth Estimation✓ Link0.109G2S (MD2-M-R18-pp-640 x 192)2021-03-03
SuperDepth: Self-Supervised, Super-Resolved Monocular Depth Estimation0.112SuperDepth S2018-10-03
Improving Self-Supervised Single View Depth Estimation by Masking Occlusion✓ Link0.113Occlusion_mask_640x1922019-08-29
Pose Constraints for Consistent Self-supervised Monocular Depth and Ego-motion✓ Link0.113pc4consistentdepth2023-04-18
Dyna-DM: Dynamic Object-aware Self-supervised Monocular Depth Maps✓ Link0.1154.6980.1920.7850.8710.9590.982Dyna-DM2022-06-08
Digging Into Self-Supervised Monocular Depth Estimation✓ Link0.1151Monodepth2 M2019-10-01
Unsupervised Monocular Depth Estimation with Left-Right Consistency✓ Link0.133Monodepth S2016-09-13
Unsupervised Monocular Depth and Ego-motion Learning with Structure and Semantics0.1412Struct2Depth M2019-06-12