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This is a list of relevant papers for 3D Geometric Foundation Models and Applications.
| Date | Stars |
|---|---|
| 2026-07-31 | 266 |
| 2026-08-09 | 271 |
| 2026-08-17 | 274 |
| 2026-08-18 | 275 |
| 2026-08-19 | 276 |
| 2026-08-24 | 277 |
| 2026-08-25 | 278 |
| 2026-08-27 | 279 |
| 2026-08-30 | 279 |
| 2026-09-04 | 280 |
| 2026-09-07 | 281 |
| 2026-09-10 | 282 |
| 2026-09-11 | 283 |
| 2026-09-18 | 284 |
| 2026-09-26 | 285 |
| 2026-09-28 | 287 |
| 2026-10-06 | 287 |
| 2026-10-07 | 288 |
| 2026-10-14 | 288 |
| 2026-10-27 | 287 |
| 2026-10-30 | 288 |
| 2026-11-04 | 289 |
Today
+1 stars today
This week
+2 stars this week
This month
+2 stars this month
Momentum
6.0
growth rate 0.70%/day
# 3D Geometric Foundation Models (3R) with SLAM ## Survey Paper - Advances in Feed-Forward 3D Reconstruction and View Synthesis: A Survey, *arXiv 2025*. [[Paper](https://arxiv.org/pdf/2507.14501)] [[Website](https://fnzhan.com/projects/Feed-Forward-3D/)] - Feed-Forward 3D Scene Modeling: A Problem-Driven Perspective, *arXiv 2026*. [[Paper](https://arxiv.org/pdf/2604.14025)] [[Website](https://github.com/ziplab/Awesome-Feed-Forward-3D)] ## 3D Geometric Foundation Models (3R) - DUSt3R: Geometric 3D Vision Made Easy, *CVPR 2024*. [[Paper](https://openaccess.thecvf.com/content/CVPR2024/papers/Wang_DUSt3R_Geometric_3D_Vision_Made_Easy_CVPR_2024_paper.pdf)] [[Code](https://github.com/naver/dust3r)] [[Website](https://dust3r.europe.naverlabs.com/)] - Monst3r: A simple approach for estimating geometry in the presence of motion, *ICLR 2025*. [[Paper](https://arxiv.org/pdf/2410.03825)] [[Code](https://github.com/Junyi42/monst3r)] [[Website](https://monst3r-project.github.io/)] - LoRA3D: Low-Rank Self-Calibration of 3D Geometric Foundation Models, *ICLR 2025*. [[Paper](https://arxiv.org/pdf/2412.07746)] [[Website](https://520xyxyzq.github.io/lora3d/)] - (CUT3R) Continuous 3D Perception Model with Persistent State, *CVPR 2025*. [[Paper](https://arxiv.org/pdf/2501.12387)] [[Code](https://github.com/CUT3R/CUT3R)] [[Website](https://cut3r.github.io/)] - Reloc3r: Large-Scale Training of Relative Camera Pose Regression for Generalizable, Fast, and Accurate Visual Localization, *CVPR 2025*. [[Paper](https://arxiv.org/pdf/2412.08376)] [[Code](https://github.com/ffrivera0/reloc3r)] - DAS3R: Dynamics-Aware Gaussian Splatting for Static Scene Reconstruction, *arXiv 2024*. [[Paper](https://arxiv.org/pdf/2412.19584)] [[Code](https://github.com/kai422/das3r)] [[Website](https://kai422.github.io/DAS3R/)] - MASt3R-SfM: a Fully-Integrated Solution for Unconstrained Structure-from-Motion, *3DV 2025*. [[Paper](https://arxiv.org/pdf/2409.19152)] [[Code](https://github.com/naver/mast3r/tree/mast3r_sfm)] - Splatt3R: Zero-shot Gaussian Splatting from Uncalibrated Image Pairs, *arXiv 2024*. [[Paper](https://arxiv.org/pdf/2408.13912)] [[Project](https://splatt3r.active.vision/)] [[Code](https://github.com/btsmart/splatt3r)] - SAB3R: Semantic-Augmented Backbone in 3D Reconstruction, *arXiv 2024*. [[Paper](https://tianx-ia.github.io/Semantic_Augmented_3D_Foundation_Models.pdf)] - No Pose, No Problem: Surprisingly Simple 3D Gaussian Splats from Sparse Unposed Images, *ICLR 2025*. [[Paper](https://arxiv.org/pdf/2410.24207)] [[Code](https://github.com/cvg/NoPoSplat)] [[Website](https://noposplat.github.io/)] - Doppelgangers++: Improved Visual Disambiguation with Geometric 3D Features, *CVPR 2025*. [[Paper](https://arxiv.org/pdf/2412.05826)] [[Code](https://github.com/doppelgangers25/doppelgangers-plusplus)] [[Project](https://doppelgangers25.github.io/doppelgangers_plusplus/)] - (Spann3R) 3D Reconstruction with Spatial Memory, *3DV 2025*. [[Paper](https://arxiv.org/pdf/2408.16061)] [[Code](https://github.com/HengyiWang/spann3r)] [[Website](https://hengyiwang.github.io/projects/spanner)] - Fast3R: Towards 3D Reconstruction of 1000+ Images in One Forward Pass, *CVPR 2025*. [[Paper](https://arxiv.org/pdf/2501.13928)] [[Website](https://fast3r-3d.github.io/)] [[Code](https://github.com/facebookresearch/fast3r)] - InstantSplat: Unbounded Sparse-view Pose-free Gaussian Splatting in 40 Seconds, *arXiv 2025*. [[Paper](https://generative-vision.github.io/workshop-CVPR-24/papers/11.pdf)] [[Website](https://instantsplat.github.io/)] [[Code](https://github.com/NVlabs/InstantSplat)] - SPARS3R: Semantic Prior Alignment and Regularization for Sparse 3D Reconstruction, *arXiv 2024*. [[Paper](https://arxiv.org/pdf/2411.12592)] [[Code](https://github.com/snldmt/SPARS3R)] - Align3R: Aligned Monocular Depth Estimation for Dynamic Videos, *CVPR 2025*. [[Paper](https://arxiv.org/pdf/2412.03079)] [[Code](https://github.com/jiah-cloud/Align3R)] [[Website](https://igl-hkust.github.io/Ali
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Read on GitHubWould you bet a product on this? Bounded 0–100 and slow moving.
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