| DenVisCoM: Dense Vision Correspondence Mamba for Efficient and Real-time Optical Flow and Stereo Estimation added by Syntology |
2026-02 (from id) |
vimstereo/DenVisCoM/loss/depth_loss.py edd4f86e8f02732f |
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| Mono-ViFI: A Unified Learning Framework for Self-supervised Single- and Multi-frame Monocular Depth Estimation |
19 Jul 2024 |
liujf1226/mono-vifi/evaluate_depth.py a141556f0b9d8a06 |
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MIT (permissive) |
| Self-supervised Adversarial Training of Monocular Depth Estimation against Physical-World Attacks |
9 Jun 2024 |
bob-cheng/depthmodelhardening/DepthNetworks/monodepth2/evaluate_depth.py 71a2780a460fb55e |
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MIT (permissive) |
| Self-supervised Adversarial Training of Monocular Depth Estimation against Physical-World Attacks |
9 Jun 2024 |
Bob-cheng/DepthModelHardening/DepthNetworks/depth-hints/evaluate_depth_old.py edd4f86e8f02732f |
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MIT (permissive) |
| SPIdepth: Strengthened Pose Information for Self-supervised Monocular Depth Estimation |
18 Apr 2024 |
Lavreniuk/SPIdepth/evaluate_depth_config.py edd4f86e8f02732f |
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MIT (permissive) |
| SPIdepth: Strengthened Pose Information for Self-supervised Monocular Depth Estimation |
18 Apr 2024 |
Lavreniuk/SPIdepth/finetune/evaluate_metric_depth.py acb6c7be50a85a77 |
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MIT (permissive) |
| Digging into contrastive learning for robust depth estimation with diffusion models |
15 Apr 2024 |
identical code first harvested elsewhere edd4f86e8f02732f |
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| WorDepth: Variational Language Prior for Monocular Depth Estimation |
4 Apr 2024 |
adonis-galaxy/wordepth/src/utils.py e87fd998291bd040 |
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| Adaptive Fusion of Single-View and Multi-View Depth for Autonomous Driving |
12 Mar 2024 |
junda24/afnet/hybrid_evaluate_depth.py 9474d17a32751f12 |
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MIT (permissive) |
| OccNeRF: Advancing 3D Occupancy Prediction in LiDAR-Free Environments |
14 Dec 2023 |
linshan-bin/occnerf/utils/loss_metric.py edd4f86e8f02732f |
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Apache-2.0 (permissive) |
| RoboDepth: Robust Out-of-Distribution Depth Estimation under Corruptions |
23 Oct 2023 |
cleinc/bts/pytorch/bts_eval.py 0a6b6b2f73096252 |
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GPL-3.0 (copyleft) · pointer only |
| RoboDepth: Robust Out-of-Distribution Depth Estimation under Corruptions |
23 Oct 2023 |
SenZHANG-GitHub/ekf-imu-depth/evaluate_depth.py edd4f86e8f02732f |
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| RoboDepth: Robust Out-of-Distribution Depth Estimation under Corruptions |
23 Oct 2023 |
shariqfarooq123/AdaBins/evaluate.py acb6c7be50a85a77 |
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| RoboDepth: Robust Out-of-Distribution Depth Estimation under Corruptions |
23 Oct 2023 |
cleinc/bts/pytorch/bts_main.py 6e581177649538a3 |
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| WeatherDepth: Curriculum Contrastive Learning for Self-Supervised Depth Estimation under Adverse Weather Conditions |
9 Oct 2023 |
wangjiyuan9/weatherdepth/Evaluate.py abe204f0964ab8f0 |
unverified |
MIT (permissive) |
| GasMono: Geometry-Aided Self-Supervised Monocular Depth Estimation for Indoor Scenes |
26 Sep 2023 |
zxcqlf/GasMono/evaluate_nyu.py edd4f86e8f02732f |
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| Towards Better Data Exploitation in Self-Supervised Monocular Depth Estimation |
11 Sep 2023 |
LiuJF1226/BDEdepth/evaluate_depth.py e2188805a6ab6f90 |
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MIT (permissive) |
| Adversarial Training of Self-supervised Monocular Depth Estimation against Physical-World Attacks |
31 Jan 2023 |
identical code first harvested elsewhere 71a2780a460fb55e |
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| Lite-Mono: A Lightweight CNN and Transformer Architecture for Self-Supervised Monocular Depth Estimation |
23 Nov 2022 |
identical code first harvested elsewhere edd4f86e8f02732f |
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| Self-Supervised Monocular Depth Estimation: Solving the Edge-Fattening Problem |
2 Oct 2022 |
identical code first harvested elsewhere edd4f86e8f02732f |
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| MonoViT: Self-Supervised Monocular Depth Estimation with a Vision Transformer |
6 Aug 2022 |
zxcqlf/monovit/evaluate_depth.py edd4f86e8f02732f |
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MIT (permissive) |
| Depthformer : Multiscale Vision Transformer For Monocular Depth Estimation With Local Global Information Fusion |
10 Jul 2022 |
ashutosh1807/depthformer/evaluate.py acb6c7be50a85a77 |
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| NeuRIS: Neural Reconstruction of Indoor Scenes Using Normal Priors |
27 Jun 2022 |
jiepengwang/NeuRIS/evaluation/EvalScanNet.py edd4f86e8f02732f |
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MIT (permissive) |
| SurroundDepth: Entangling Surrounding Views for Self-Supervised Multi-Camera Depth Estimation |
7 Apr 2022 |
weiyithu/surrounddepth/utils.py edd4f86e8f02732f |
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MIT (permissive) |
| Global-Local Path Networks for Monocular Depth Estimation with Vertical CutDepth |
19 Jan 2022 |
ravinewindteer/glpdepth-edited/code/eval_with_pngs.py 0a6b6b2f73096252 |
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MIT (permissive) |
| Channel-Wise Attention-Based Network for Self-Supervised Monocular Depth Estimation |
24 Dec 2021 |
identical code first harvested elsewhere edd4f86e8f02732f |
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| GMFlow: Learning Optical Flow via Global Matching |
26 Nov 2021 |
raymondwang987/nvds/infer_NVDS_dpt_bi.py b6528bfa48fa18a0 |
unverified |
MIT (permissive) |
| Advancing Self-supervised Monocular Depth Learning with Sparse LiDAR |
20 Sep 2021 |
AutoAILab/FusionDepth/evaluate_depth.py edd4f86e8f02732f |
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MIT (permissive) |
| Advancing Self-supervised Monocular Depth Learning with Sparse LiDAR |
20 Sep 2021 |
AutoAILab/FusionDepth/evaluate_completion.py 8e520332ac6e2b25 |
unverified |
MIT (permissive) |
| HR-Depth: High Resolution Self-Supervised Monocular Depth Estimation |
14 Dec 2020 |
shawLyu/HR-Depth/evaluate_depth.py 37991806ee36437b |
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MIT (permissive) |
| P$^{2}$Net: Patch-match and Plane-regularization for Unsupervised Indoor Depth Estimation |
15 Jul 2020 |
svip-lab/Indoor-SfMLearner/evaluation/nyuv2_eval_depth.py 7ba7f39d216dbe7d |
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| Toward Hierarchical Self-Supervised Monocular Absolute Depth Estimation for Autonomous Driving Applications |
12 Apr 2020 |
identical code first harvested elsewhere edd4f86e8f02732f |
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| The Edge of Depth: Explicit Constraints between Segmentation and Depth |
1 Apr 2020 |
TWJianNuo/EdgeDepth-Release/evaluate_depth.py d99155909a53a36e |
unverified |
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| Self-supervised Monocular Trained Depth Estimation using Self-attention and Discrete Disparity Volume |
31 Mar 2020 |
identical code first harvested elsewhere edd4f86e8f02732f |
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| Self-Supervised Learning of Depth and Motion Under Photometric Inconsistency |
19 Sep 2019 |
hlzz/DeepMatchVO/kitti_eval/depth_evaluation_utils.py d83582de454a0b40 |
unverified |
MIT (permissive) |
| Self-Supervised Monocular Depth Hints |
19 Sep 2019 |
nianticlabs/depth-hints/evaluate_depth.py edd4f86e8f02732f |
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| From Big to Small: Multi-Scale Local Planar Guidance for Monocular Depth Estimation |
24 Jul 2019 |
cogaplex-bts/bts/pytorch/bts_eval.py 0a6b6b2f73096252 |
ran · honoured contract
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GPL-3.0 (copyleft) · pointer only |
| Safe Policy Improvement with Soft Baseline Bootstrapping |
11 Jul 2019 |
identical code first harvested elsewhere 53b69da5f89a51b4 |
ran · our draft was wrong
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licence of this copy not recorded |
| Multi-View Stereo by Temporal Nonparametric Fusion |
12 Apr 2019 |
AaltoML/GP-MVS/loss_functions.py 4e66b85c3e75a7c1 |
unverified |
MIT (permissive) |
| Learning to Augment Synthetic Images for Sim2Real Policy Transfer |
18 Mar 2019 |
rstrudel/rlbc/bc/eval_reg.py 7b22754787169ceb |
unverified |
MIT (permissive) |
| Digging Into Self-Supervised Monocular Depth Estimation |
4 Jun 2018 |
CaptainEven/MonoDepthV2/evaluate_depth.py d4eb240de6e155d3 |
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| Digging Into Self-Supervised Monocular Depth Estimation |
4 Jun 2018 |
IcarusWizard/monodepth2-paddle/evaluate_depth.py edd4f86e8f02732f |
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Apache-2.0 (permissive) |
| GeoNet: Unsupervised Learning of Dense Depth, Optical Flow and Camera Pose |
6 Mar 2018 |
yzcjtr/GeoNet/kitti_eval/depth_evaluation_utils.py d83582de454a0b40 |
unverified |
MIT (permissive) |
| Safe Policy Improvement with Baseline Bootstrapping |
19 Dec 2017 |
RomainLaroche/SPIBB/spibb.py 53b69da5f89a51b4 |
ran · our draft was wrong
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MIT (permissive) |
| Unsupervised Monocular Depth Estimation with Left-Right Consistency |
13 Sep 2016 |
IcarusWizard/monodepth-paddle/eval/evaluation_utils.py d83582de454a0b40 |
unverified |
Apache-2.0 (permissive) |
| arXiv:aaai_28383 |
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hisfog/SfMNeXt-Impl/evaluate_depth_config.py edd4f86e8f02732f |
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MIT (permissive) |
| arXiv:aaai_28383 |
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hisfog/SfMNeXt-Impl/finetune/evaluate_metric_depth.py acb6c7be50a85a77 |
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MIT (permissive) |
| arXiv:Gan_GaussianOcc_Fully_Self-supervised_and_Efficient_3D_Occupancy_Estimation_with_Gaussian_ICCV_2025_paper |
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GANWANSHUI/GaussianOcc/utils/loss_metric.py edd4f86e8f02732f |
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Apache-2.0 (permissive) |
| arXiv:136780474 |
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dengyecode/hourglassattention/util/evaluation.py 9223b397ffc8582a |
unverified |
MIT (permissive) |