| WAFT-Stereo: Warping-Alone Field Transforms for Stereo Matching | ✓ Link | 1.28 | WAFT-Stereo (DAv2-L, 5) (extra data) | 2026-03-25 |
| MonSter: Marry Monodepth to Stereo Unleashes Power | | 1.37 | MonSter++ (extra data) | 2025-01-15 |
| MatchAttention: Embedding Explicit Matching Constraints into Attention for Efficient Stereo Matching | ✓ Link | 1.4 | MatchAttentionXL (extra data) | 2025-10-16 |
| DEFOM-Stereo: Depth Foundation Model Based Stereo Matching | ✓ Link | 1.41 | DEFOM-Stereo (ViT-L) (extra data) | 2025-01-16 |
| IGEV++: Iterative Multi-range Geometry Encoding Volumes for Stereo Matching | ✓ Link | 1.43 | IGEV++ (DepthAnythingV2-Large backbone) (extra data) | 2024-09-01 |
| OpenStereo: A Comprehensive Benchmark for Stereo Matching and Strong Baseline | ✓ Link | 1.44 | StereoBase (extra data) | 2023-12-01 |
| Pip-Stereo: Progressive Iterations Pruner for Iterative Optimization based Stereo Matching | | 1.44 | PipStereo (1 iteration) (extra data) | 2026-02-24 |
| Global Regulation and Excitation via Attention Tuning for Stereo Matching | | 1.49 | GREAT-Selective (extra data) | 2025-09-19 |
| Consistency-aware Self-Training for Iterative-based Stereo Matching | | 1.50 | CST-Stereo (extra data) | 2025-03-31 |
| MoCha-Stereo: Motif Channel Attention Network for Stereo Matching | ✓ Link | 1.53 | MoCha-Stereo | 2024-04-10 |
| Adaptive Multi-Modal Cross-Entropy Loss for Stereo Matching | ✓ Link | 1.55 | GANet+Ours | 2023-06-27 |
| MC-Stereo: Multi-Peak Lookup and Cascade Search Range for Stereo Matching | | 1.55 | MC-Stereo | 2023-11-04 |
| Selective-Stereo: Adaptive Frequency Information Selection for Stereo Matching | ✓ Link | 1.55 | Selective-IGEV | 2024-03-01 |
| Rectified Iterative Disparity for Stereo Matching | | 1.56 | DR-Stereo (extra data) | 2024-06-16 |
| CroCo v2: Improved Cross-view Completion Pre-training for Stereo Matching and Optical Flow | ✓ Link | 1.59 | CroCo-Stereo (extra data) | 2022-11-18 |
| Iterative Geometry Encoding Volume for Stereo Matching | ✓ Link | 1.59 | IGEV-Stereo (extra data) | 2023-03-12 |
| Neural Markov Random Field for Stereo Matching | ✓ Link | 1.59 | NMRF-Stereo | 2024-03-17 |
| Lite Any Stereo V2: Faster and Stronger Efficient Zero-Shot Stereo Matching | ✓ Link | 1.61 | LAS2-M (extra data) | 2026-06-23 |
| LoS: Local Structure-Guided Stereo Matching | | 1.65 | LoS | 2024-06-17 |
| Practical Stereo Matching via Cascaded Recurrent Network with Adaptive Correlation | ✓ Link | 1.69 | CREStereo (extra data) | 2022-03-22 |
| Generalized Geometry Encoding Volume for Real-time Stereo Matching | | 1.7 | GGEV (ViT-S, 8 iterations) (extra data) | 2025-12-07 |
| Lite Any Stereo: Efficient Zero-Shot Stereo Matching | | 1.71 | Lite Any Stereo (KITTI-finetuned) (extra data) | 2025-11-20 |
| Unifying Flow, Stereo and Depth Estimation | ✓ Link | 1.77 | GMStereo (extra data) | 2022-11-10 |
| BANet: Bilateral Aggregation Network for Mobile Stereo Matching | ✓ Link | 1.77 | BANet-3D (extra data) | 2025-03-05 |
| MAFNet:Multi-frequency Adaptive Fusion Network for Real-time Stereo Matching | | 1.81 | MAFNet (extra data) | 2025-12-04 |
| LightStereo: Channel Boost Is All You Need for Efficient 2D Cost Aggregation | | 1.82 | LightStereo-H (KITTI-finetuned) (extra data) | 2024-06-28 |
| RAFT-Stereo: Multilevel Recurrent Field Transforms for Stereo Matching | ✓ Link | 1.96 | RAFT-Stereo (extra data) | 2021-09-15 |
| HITNet: Hierarchical Iterative Tile Refinement Network for Real-time Stereo Matching | ✓ Link | 1.98 | HITNet (extra data) | 2020-07-23 |
| AANet: Adaptive Aggregation Network for Efficient Stereo Matching | ✓ Link | 2.03 | AANet+ (extra data) | 2020-04-20 |
| CAR-Stereo: Confidence-Aware Adaptive Disparity Refinement for Real-Time Stereo Matching | | 2.17 | CAR-Stereo (extra data) | 2026-06-01 |
| Pyramid Stereo Matching Network | ✓ Link | 2.32 | PSMNet (extra data) | 2018-03-23 |
| EDNet: Efficient Disparity Estimation with Cost Volume Combination and Attention-based Spatial Residual | | 2.53 | EDNet (extra data) | 2020-10-26 |
| Real-Time Semantic Stereo Matching | | 3.56 | RTS²Net (c=32) (extra data) | 2019-10-01 |
| A Large Dataset to Train Convolutional Networks for Disparity, Optical Flow, and Scene Flow Estimation | ✓ Link | 4.34 | DispNetCorr1D-K (DispNetC, KITTI 2015 fine-tuned) (extra data) | 2015-12-07 |
| StereoNet: Guided Hierarchical Refinement for Real-Time Edge-Aware Depth Prediction | | 4.83 | StereoNet (8x, 3 refinement levels) (extra data) | 2018-07-24 |