mlsanityData to 7 Oct 2026

WAFT-Stereo: Warping-Alone Field Transforms for Stereo Matching

arXiv 2603.24836 ↗First posted 25 Mar 2026cs.CVcited by 2

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Abstract (arXiv)

We introduce WAFT-Stereo, a simple and effective warping-based method for stereo matching. WAFT-Stereo demonstrates that cost volumes, a common design used in many leading methods, are not necessary for strong performance and can be replaced by warping with improved efficiency. WAFT-Stereo ranks first on ETH3D (BP-0.5), Middlebury (RMSE), and KITTI (all metrics), reducing the zero-shot error by 81% on ETH3D, while being 1.8-6.7x faster than competitive methods. Code and model weights are available at https://github.com/princeton-vl/WAFT-Stereo.

Key facts. Cited by 2 papers in the map (data through 7 Oct 2026). Builds on 48 of its 69 references that are in the map. First posted on arXiv 25 Mar 2026.

Builds on

48 of 69 references.

References · 48

  1. 2015Deep Residual Learning for Image Recognitioncited by 51,809
  2. 2020An Image is Worth 16x16 Words: Transformers for Image Recognition at Scalecited by 29,915
  3. 2021LoRA: Low-Rank Adaptation of Large Language Modelscited by 14,084
  4. 2021Vision Transformers for Dense Predictioncited by 1,789
  5. 2024Depth Anything: Unleashing the Power of Large-Scale Unlabeled Datacited by 1,346
  6. 2025DINOv3cited by 1,297
  7. 2017PWC-Net: CNNs for Optical Flow Using Pyramid, Warping, and Cost Volumecited by 966
  8. 2015A Large Dataset to Train Convolutional Networks for Disparity, Optical Flow, and Scene Flow Estimationcited by 878
  9. 2020TartanAir: A Dataset to Push the Limits of Visual SLAMcited by 494
  10. 2021RAFT-Stereo: Multilevel Recurrent Field Transforms for Stereo Matchingcited by 348
  11. 2020Virtual KITTI 2cited by 345
  12. 2025π3: Permutation-Equivariant Visual Geometry Learningcited by 292
36 more
  1. 2022FlowFormer: A Transformer Architecture for Optical Flowcited by 273
  2. 2022Unifying Flow, Stereo and Depth Estimationcited by 270
  3. 2023Project Aria: A New Tool for Egocentric Multi-Modal AI Researchcited by 201
  4. 2022Practical Stereo Matching via Cascaded Recurrent Network with Adaptive Correlationcited by 197
  5. 2023Iterative Geometry Encoding Volume for Stereo Matchingcited by 188
  6. 2023Spring: A High-Resolution High-Detail Dataset and Benchmark for Scene Flow, Optical Flow and Stereocited by 170
  7. 2024SEA-RAFT: Simple, Efficient, Accurate RAFT for Optical Flowcited by 169
  8. 2025FoundationStereo: Zero-Shot Stereo Matchingcited by 168
  9. 2022CroCo v2: Improved Cross-view Completion Pre-training for Stereo Matching and Optical Flowcited by 165
  10. 2023DynamicStereo: Consistent Dynamic Depth from Stereo Videoscited by 147
  11. 2023Infinite Photorealistic Worlds using Procedural Generationcited by 142
  12. 2024Infinigen Indoors: Photorealistic Indoor Scenes using Procedural Generationcited by 129
  13. 20193D Ken Burns Effect from a Single Imagecited by 128
  14. 2019Hierarchical Deep Stereo Matching on High-resolution Imagescited by 126
  15. 2020HITNet: Hierarchical Iterative Tile Refinement Network for Real-time Stereo Matchingcited by 120
  16. 2021SMD-Nets: Stereo Mixture Density Networkscited by 118
  17. 2024Selective-Stereo: Adaptive Frequency Information Selection for Stereo Matchingcited by 98
  18. 2018Falling Things: A Synthetic Dataset for 3D Object Detection and Pose Estimationcited by 92
  19. 2022Rethinking Depth Estimation for Multi-View Stereo: A Unified Representationcited by 82
  20. 2014Computing the Stereo Matching Cost with a Convolutional Neural Networkcited by 74
  21. 2024IGEV++: Iterative Multi-range Geometry Encoding Volumes for Stereo Matchingcited by 55
  22. 2025DEFOM-Stereo: Depth Foundation Model Based Stereo Matchingcited by 51
  23. 2024MoCha-Stereo: Motif Channel Attention Network for Stereo Matchingcited by 48
  24. 2021Toward Practical Monocular Indoor Depth Estimationcited by 42
  25. 2024Neural Markov Random Field for Stereo Matchingcited by 38
  26. 2019DAVANet: Stereo Deblurring with View Aggregationcited by 37
  27. 2025TartanGround: A Large-Scale Dataset for Ground Robot Perception and Navigationcited by 35
  28. 2023Booster: a Benchmark for Depth from Images of Specular and Transparent Surfacescited by 33
  29. 2025WAFT: Warping-Alone Field Transforms for Optical Flowcited by 32
  30. 2025DPFlow: Adaptive Optical Flow Estimation with a Dual-Pyramid Frameworkcited by 30
  31. 2025MonSter++: Unified Stereo Matching, Multi-view Stereo, and Real-time Stereo with Monodepth Priorscited by 19
  32. 2023CCMR: High Resolution Optical Flow Estimation via Coarse-to-Fine Context-Guided Motion Reasoningcited by 15
  33. 2025BridgeDepth: Bridging Monocular and Stereo Reasoning with Latent Alignmentcited by 15
  34. 2025What Makes Good Synthetic Training Data for Zero-Shot Stereo Matching?cited by 7
  35. 2024Stereo Anything: Unifying Zero-shot Stereo Matching with Large-Scale Mixed Datacited by 3
  36. 2025DepthFocus: Controllable Depth Estimation for See-Through Scenescited by 3

Built on by

Cited by year (2026 to 7 Oct)

Citing papers per year: 2026: 2.

2 papers.

  1. 2026WAVE-Stereo: Warp-Aligned Volume Encoding for Stereo Matchingcited by 0
  2. 2026NBS: No Bias Stereocited by 0