π3: Permutation-Equivariant Visual Geometry Learning
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Abstract (arXiv)
We introduce π3, a feed-forward neural network that offers a novel approach to visual geometry reconstruction, breaking the reliance on a conventional fixed reference view. Previous methods often anchor their reconstructions to a designated viewpoint, an inductive bias that can lead to instability and failures if the reference is suboptimal. In contrast, π3 employs a fully permutation-equivariant architecture to predict affine-invariant camera poses and scale-invariant local point maps without any reference frames. This design not only makes our model inherently robust to input ordering, but also leads to higher accuracy and performance. These advantages enable our simple and bias-free approach to achieve state-of-the-art performance on a wide range of tasks, including camera pose estimation, monocular/video depth estimation, and dense point map reconstruction. Code and models are available at https://github.com/yyfz/Pi3.
Key facts. Cited by 292 papers in the map (data through 7 Oct 2026). Builds on 38 of its 51 references that are in the map. First posted on arXiv 17 Jul 2025.
Builds on
38 of 51 references.
References · 38
- 2023DINOv2: Learning Robust Visual Features without Supervisioncited by 7,764
- 2017ScanNet: Richly-annotated 3D Reconstructions of Indoor Scenescited by 3,088
- 2023DUSt3R: Geometric 3D Vision Made Easycited by 1,526
- 2025VGGT: Visual Geometry Grounded Transformercited by 1,475
- 2024Depth Anything V2cited by 1,385
- 2019Habitat: A Platform for Embodied AI Researchcited by 1,163
- 2015ORB-SLAM: a Versatile and Accurate Monocular SLAM Systemcited by 983
- 2024Grounding Image Matching in 3D with MASt3Rcited by 960
- 2023ScanNet++: A High-Fidelity Dataset of 3D Indoor Scenescited by 747
- 2018MegaDepth: Learning Single-View Depth Prediction from Internet Photoscited by 731
- 2021Common Objects in 3D: Large-Scale Learning and Evaluation of Real-life 3D Category Reconstructioncited by 646
- 2018Taskonomy: Disentangling Task Transfer Learningcited by 631
26 more
- 2020Hypersim: A Photorealistic Synthetic Dataset for Holistic Indoor Scene Understandingcited by 593
- 2025Continuous 3D Perception Model with Persistent Statecited by 527
- 2020TartanAir: A Dataset to Push the Limits of Visual SLAMcited by 494
- 2019BlendedMVS: A Large-scale Dataset for Generalized Multi-view Stereo Networkscited by 487
- 2021ARKitScenes: A Diverse Real-World Dataset For 3D Indoor Scene Understanding Using Mobile RGB-D Datacited by 442
- 2024MonST3R: A Simple Approach for Estimating Geometry in the Presence of Motioncited by 431
- 2025Fast3R: Towards 3D Reconstruction of 1000+ Images in One Forward Passcited by 356
- 2021Neural RGB-D Surface Reconstructioncited by 312
- 2024MoGe: Unlocking Accurate Monocular Geometry Estimation for Open-Domain Images with Optimal Training Supervisioncited by 290
- 20243D Reconstruction with Spatial Memorycited by 269
- 2025MoGe-2: Accurate Monocular Geometry with Metric Scale and Sharp Detailscited by 250
- 2024Global Structure-from-Motion Revisitedcited by 215
- 2023Project Aria: A New Tool for Egocentric Multi-Modal AI Researchcited by 201
- 2023MatrixCity: A Large-scale City Dataset for City-scale Neural Rendering and Beyondcited by 185
- 2019ReFusion: 3D Reconstruction in Dynamic Environments for RGB-D Cameras Exploiting Residualscited by 180
- 2025FLARE: Feed-forward Geometry, Appearance and Camera Estimation from Uncalibrated Sparse Viewscited by 176
- 2023PoseDiffusion: Solving Pose Estimation via Diffusion-aided Bundle Adjustmentcited by 146
- 2024MV-DUSt3R+: Single-Stage Scene Reconstruction from Sparse Views In 2 Secondscited by 136
- 2024RGBD Objects in the Wild: Scaling Real-World 3D Object Learning from RGB-D Videoscited by 113
- 2021TransformerFusion: Monocular RGB Scene Reconstruction using Transformerscited by 107
- 2025Aether: Geometric-Aware Unified World Modelingcited by 94
- 2022ParticleSfM: Exploiting Dense Point Trajectories for Localizing Moving Cameras in the Wildcited by 90
- 2020An Analysis of SVD for Deep Rotation Estimationcited by 85
- 2024Reloc3r: Large-Scale Training of Relative Camera Pose Regression for Generalizable, Fast, and Accurate Visual Localizationcited by 81
- 2024Point Cloud Matters: Rethinking the Impact of Different Observation Spaces on Robot Learningcited by 45
- 2019Flow-Motion and Depth Network for Monocular Stereo and Beyondcited by 37
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Citing papers per year: 2025: 25; 2026: 267.
292 papers.
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