RayTun3R: Online Camera Adaptation in 3D Foundation Models | Paper Citation Record

Observation 42374e54-0dc0-4670-90a6-0a518846f135 · outbound

This paper cites DUSt3R: Geometric 3D vision made easy.

RayTun3R: Online Camera Adaptation in 3D Foundation Models DUSt3R: Geometric 3D vision made easy

Reference 1

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Observation 534ccbfd-c08f-4d22-a1e0-9012d99512c6 · outbound

This paper cites MASt3R-SfM: A fully integrated solution for unconstrained structure- from-motion.

RayTun3R: Online Camera Adaptation in 3D Foundation Models MASt3R-SfM: A fully integrated solution for unconstrained structure- from-motion

Reference 2

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Observation 61ca1d5d-2f35-4c8a-a14a-f2161db743da · outbound

This paper cites VGGT: Visual geometry grounded transformer.

RayTun3R: Online Camera Adaptation in 3D Foundation Models VGGT: Visual geometry grounded transformer

Reference 3

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Observation 2e2e0ac1-735a-4cf1-b9a4-087f664a7d81 · outbound

This paper cites π3: Permutation-equivariant visual geometry learning.

RayTun3R: Online Camera Adaptation in 3D Foundation Models π3: Permutation-equivariant visual geometry learning

Reference 4

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Observation 592b9bd2-3afd-4417-82d9-69a50d8fff42 · outbound

This paper cites Chen, Zhenyu Li, Yang Zhao, Sida Peng, Hengkai Guo, Xiaowei Zhou, Guang Shi, Jiashi Feng, and Bingyi Kang.

RayTun3R: Online Camera Adaptation in 3D Foundation Models Chen, Zhenyu Li, Yang Zhao, Sida Peng, Hengkai Guo, Xiaowei Zhou, Guang Shi, Jiashi Feng, and Bingyi Kang

Reference 5

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Observation 2706f042-825b-49a2-b84d-441b1f3ae94c · outbound

This paper cites CubemapSLAM: A piecewise-pinhole monocular fisheye SLAM system.

RayTun3R: Online Camera Adaptation in 3D Foundation Models CubemapSLAM: A piecewise-pinhole monocular fisheye SLAM system

Reference 6

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Observation dd47a1c9-0cb5-47f5-a3b8-fcdafacf430a · outbound

This paper cites SDGE: Stereo guided depth estimation for 360 camera sets.

RayTun3R: Online Camera Adaptation in 3D Foundation Models SDGE: Stereo guided depth estimation for 360 camera sets

Reference 7

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Observation 59952f45-b03c-4ab3-8b70-5eb3d609dd50 · outbound

This paper cites Hu, Yelong Shen, Phillip Wallis, Zeyuan Allen-Zhu, Yuanzhi Li, Shean Wang, Liang Wang, Weizhu Chen, et al.

RayTun3R: Online Camera Adaptation in 3D Foundation Models Hu, Yelong Shen, Phillip Wallis, Zeyuan Allen-Zhu, Yuanzhi Li, Shean Wang, Liang Wang, Weizhu Chen, et al

Reference 8

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Observation 17471bb1-d40c-4a5a-945a-1bfa2fdec633 · outbound

This paper cites Parameter-efficient transfer learning for NLP.

RayTun3R: Online Camera Adaptation in 3D Foundation Models Parameter-efficient transfer learning for NLP

Reference 9

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Observation e35ce3e6-25d0-47ef-8c3a-4ceb281fb5d7 · outbound

This paper cites Scaling and shifting your features: A new baseline for efficient model tuning.

RayTun3R: Online Camera Adaptation in 3D Foundation Models Scaling and shifting your features: A new baseline for efficient model tuning

Reference 10

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Observation 73056ff6-77d5-4cc4-a315-e73a7206127d · outbound

This paper cites Extending foundational monocular depth estimators to fisheye cameras with calibration tokens.

RayTun3R: Online Camera Adaptation in 3D Foundation Models Extending foundational monocular depth estimators to fisheye cameras with calibration tokens

Reference 11

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Observation 9eaf4896-0e08-4e0a-be2e-e962eea31025 · outbound

This paper cites Structure-from-motion revisited.

RayTun3R: Online Camera Adaptation in 3D Foundation Models Structure-from-motion revisited

Reference 12

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Observation b4578c34-0e00-4489-89c7-41a8ea56ae55 · outbound

This paper cites Back to the feature: Learning robust camera localization from pixels to pose.

RayTun3R: Online Camera Adaptation in 3D Foundation Models Back to the feature: Learning robust camera localization from pixels to pose

Reference 13

Resolution: unresolved; no resolver link, observed 2026-07-12T07:34:18.588337Z

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Observation cf0c382a-72aa-4b5d-bf1a-ec87900eb74b · outbound

This paper cites An analytical solution to gauss-newton loss for direct image alignment.

RayTun3R: Online Camera Adaptation in 3D Foundation Models An analytical solution to gauss-newton loss for direct image alignment

Reference 14

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Observation bba6f24d-96cc-4e0d-9e8a-f3b70b4c457b · outbound

This paper cites Monocular Depth Estimation with Self-supervised Instance Adaptation.

RayTun3R: Online Camera Adaptation in 3D Foundation Models Monocular Depth Estimation with Self-supervised Instance Adaptation

Reference 15

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Observation 4554bd03-5a3e-41d6-a8b3-6987c101873a · outbound

This paper cites OmniViDAR: Omnidirectional depth estimation from multi-fisheye images.

RayTun3R: Online Camera Adaptation in 3D Foundation Models OmniViDAR: Omnidirectional depth estimation from multi-fisheye images

Reference 16

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Observation 5c2154cb-338f-4ff9-9712-b958b2e1a5d2 · outbound

This paper cites OmniStereo: Real-time omnidirectional depth estimation with multi-view fisheye cameras.

RayTun3R: Online Camera Adaptation in 3D Foundation Models OmniStereo: Real-time omnidirectional depth estimation with multi-view fisheye cameras

Reference 17

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Observation 3faea737-3e10-4a34-83a2-a2bad3be75da · outbound

This paper cites an unresolved cited work.

RayTun3R: Online Camera Adaptation in 3D Foundation Models Unresolved cited work

Reference 18

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Observation 085f5331-4482-48d9-878c-0a91c6a373be · outbound

This paper cites FisheyeDepth: A real-scale self-supervised depth estimation model for fisheye camera.

RayTun3R: Online Camera Adaptation in 3D Foundation Models FisheyeDepth: A real-scale self-supervised depth estimation model for fisheye camera

Reference 19

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Observation 84958a32-6aaf-4a3c-89c0-27ccae7d4dd2 · outbound

This paper cites UniDepth: Universal monocular metric depth estimation.

RayTun3R: Online Camera Adaptation in 3D Foundation Models UniDepth: Universal monocular metric depth estimation

Reference 20

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Observation b92f35c2-e789-45fe-b505-ab55ff6dc6d3 · outbound

This paper cites UniK3D: Universal camera monocular 3D estimation.

RayTun3R: Online Camera Adaptation in 3D Foundation Models UniK3D: Universal camera monocular 3D estimation

Reference 21

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Observation 8299ddd8-737f-4335-8cf8-b2ed34f11bfc · outbound

This paper cites an unresolved cited work.

RayTun3R: Online Camera Adaptation in 3D Foundation Models Unresolved cited work

Reference 22

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Observation caefbb3a-19af-4362-8fab-6ccc74dcbeaa · outbound

This paper cites AnyCalib: On-manifold learning for model-agnostic single-view camera calibration.

RayTun3R: Online Camera Adaptation in 3D Foundation Models AnyCalib: On-manifold learning for model-agnostic single-view camera calibration

Reference 23

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Observation c9a1268e-5c32-45a4-9339-ee0f29aa0ee3 · outbound

This paper cites PRaDA: Projective radial distortion averaging.

RayTun3R: Online Camera Adaptation in 3D Foundation Models PRaDA: Projective radial distortion averaging

Reference 24

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Observation f4921ef5-eda3-4e1b-83df-6f974fdf719b · outbound

This paper cites DarSwin: Distortion-aware radial swin transformer.

RayTun3R: Online Camera Adaptation in 3D Foundation Models DarSwin: Distortion-aware radial swin transformer

Reference 25

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Observation 7e12d2c5-410d-4d2b-b70b-5e1a80d9ef1a · outbound

This paper cites DarSwin-UNet: Distortion-aware architecture.

RayTun3R: Online Camera Adaptation in 3D Foundation Models DarSwin-UNet: Distortion-aware architecture

Reference 26

Resolution: unresolved; no resolver link, observed 2026-07-12T07:34:18.588337Z

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Observation d1aa70bf-7441-4a94-bfbf-5e73b5797a02 · outbound

This paper cites Sector Patch Embedding: An Embedding Module Conforming to The Distortion Pattern of Fisheye Image.

RayTun3R: Online Camera Adaptation in 3D Foundation Models Sector Patch Embedding: An Embedding Module Conforming to The Distortion Pattern of Fisheye Image

Reference 27

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Observation 3dc06100-9e41-417c-a302-0b64c36773d9 · outbound

This paper cites Cameras as relative positional encoding.

RayTun3R: Online Camera Adaptation in 3D Foundation Models Cameras as relative positional encoding

Reference 28

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Observation a1eeed2e-fb83-40c9-a8b6-d344551b4ea4 · outbound

This paper cites Fisheye3R: Adapting Unified 3D Feed-Forward Foundation Models to Fisheye Lenses.

RayTun3R: Online Camera Adaptation in 3D Foundation Models Fisheye3R: Adapting Unified 3D Feed-Forward Foundation Models to Fisheye Lenses

Reference 29

Resolution: unresolved; no resolver link, observed 2026-07-12T07:34:18.588337Z

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Observation 37dc22a6-0557-41b0-85cb-c6b89c83b02a · outbound

This paper cites FishRoPE: Projective Rotary Position Embeddings for Omnidirectional Visual Perception.

RayTun3R: Online Camera Adaptation in 3D Foundation Models FishRoPE: Projective Rotary Position Embeddings for Omnidirectional Visual Perception

Reference 30

Resolution: unresolved; no resolver link, observed 2026-07-12T07:34:18.588337Z

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Observation 1eca451c-ba0b-400c-8110-15dc2e44c07f · outbound

This paper cites Depth Anywhere: Enhancing 360 monocular depth estimation via perspective distillation and unlabeled data augmentation.

RayTun3R: Online Camera Adaptation in 3D Foundation Models Depth Anywhere: Enhancing 360 monocular depth estimation via perspective distillation and unlabeled data augmentation

Reference 31

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Observation a51036f1-fe88-4c1e-ba85-c3e8836d87e3 · outbound

This paper cites VGGT-360: Geometry-Consistent Zero-Shot Panoramic Depth Estimation.

RayTun3R: Online Camera Adaptation in 3D Foundation Models VGGT-360: Geometry-Consistent Zero-Shot Panoramic Depth Estimation

Reference 32

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Observation 9483a077-4845-4e3b-bcaf-3a84c5e7a1b0 · outbound

This paper cites RPG360: Robust 360 depth estimation with perspective foundation models and graph optimization.

RayTun3R: Online Camera Adaptation in 3D Foundation Models RPG360: Robust 360 depth estimation with perspective foundation models and graph optimization

Reference 33

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Observation ac146e81-f1e1-462f-b2b7-2333082fb2a2 · outbound

This paper cites Test-time training with self-supervision for generalization under distribution shifts.

RayTun3R: Online Camera Adaptation in 3D Foundation Models Test-time training with self-supervision for generalization under distribution shifts

Reference 34

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Observation 54dc0712-5d39-4094-aa46-4ae058315f08 · outbound

This paper cites Freeman, and Hao Tan.

RayTun3R: Online Camera Adaptation in 3D Foundation Models Freeman, and Hao Tan

Reference 35

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Observation de5895d9-205d-4643-9ef5-75671261930c · outbound

This paper cites TTT3R: 3D recon- struction as test-time training.

RayTun3R: Online Camera Adaptation in 3D Foundation Models TTT3R: 3D recon- struction as test-time training

Reference 36

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Observation 1299b139-ec7e-4805-b76f-2268ede942c6 · outbound

This paper cites Scal3R: Scalable Test-Time Training for Large-Scale 3D Reconstruction.

RayTun3R: Online Camera Adaptation in 3D Foundation Models Scal3R: Scalable Test-Time Training for Large-Scale 3D Reconstruction

Reference 37

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Observation 16e551cf-3718-49c8-aa46-53bedd499409 · outbound

This paper cites an unresolved cited work.

RayTun3R: Online Camera Adaptation in 3D Foundation Models Unresolved cited work

Reference 38

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Observation 0fa8bbae-5a7c-42b9-9826-b49a725832f8 · outbound

This paper cites An enhanced unified camera model.IEEE Robotics and Automation Letters, 1(1):137–144, 2015.

RayTun3R: Online Camera Adaptation in 3D Foundation Models An enhanced unified camera model.IEEE Robotics and Automation Letters, 1(1):137–144, 2015

Reference 39

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Observation 9999f7c2-3231-4afa-a706-cf61e325aa7e · outbound

This paper cites DINOv2: Learning robust visual features without supervision.TMLR, 2024.

RayTun3R: Online Camera Adaptation in 3D Foundation Models DINOv2: Learning robust visual features without supervision.TMLR, 2024

Reference 40

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Observation 48cc31ce-e35d-45e9-8c45-102621d82d19 · outbound

This paper cites Rotary position embedding for vision transformer.

RayTun3R: Online Camera Adaptation in 3D Foundation Models Rotary position embedding for vision transformer

Reference 41

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Observation cc607ec2-dd7e-4146-bca9-62909e8c7986 · outbound

This paper cites Vision transformers for dense prediction.

RayTun3R: Online Camera Adaptation in 3D Foundation Models Vision transformers for dense prediction

Reference 42

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Observation 53b120d9-4835-40ad-a2ae-0f23052e38a6 · outbound

This paper cites Tracking feature points of fisheye full-view image by normalized image patch.IEEJ Transactions on Electronics, Information and Systems, 132(9):1516–1523, 2012.

RayTun3R: Online Camera Adaptation in 3D Foundation Models Tracking feature points of fisheye full-view image by normalized image patch.IEEJ Transactions on Electronics, Information and Systems, 132(9):1516–1523, 2012

Reference 43

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Observation 09d9d7a4-f79e-4132-b5f9-74e34e34187a · outbound

This paper cites UFM: A simple path towards unified dense correspondence with flow.

RayTun3R: Online Camera Adaptation in 3D Foundation Models UFM: A simple path towards unified dense correspondence with flow

Reference 44

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Observation a47622cb-148a-4ac1-8224-9de51dd71453 · outbound

This paper cites MAGSAC++: A fast, reliable, and accurate robust estimator.

RayTun3R: Online Camera Adaptation in 3D Foundation Models MAGSAC++: A fast, reliable, and accurate robust estimator

Reference 45

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Observation 11fb8a33-ca7b-417d-a3b1-0d7a4548c3a1 · outbound

This paper cites an unresolved cited work.

RayTun3R: Online Camera Adaptation in 3D Foundation Models Unresolved cited work

Reference 46

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Observation 17cca8dd-f7e9-413e-8c8e-538ab5218650 · outbound

This paper cites AnyCam: Learning to recover camera poses and intrinsics from casual videos.

RayTun3R: Online Camera Adaptation in 3D Foundation Models AnyCam: Learning to recover camera poses and intrinsics from casual videos

Reference 47

Resolution: unresolved; no resolver link, observed 2026-07-12T07:34:18.588337Z

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Observation b13e4553-32ba-4a10-ba38-5e02c7baf937 · outbound

This paper cites KITTI-360: A novel dataset and benchmarks for urban scene understanding in 2D and 3D.IEEE Transactions on Pattern Analysis and Machine Intelligence, 45(3):3292–3310, 2023.

RayTun3R: Online Camera Adaptation in 3D Foundation Models KITTI-360: A novel dataset and benchmarks for urban scene understanding in 2D and 3D.IEEE Transactions on Pattern Analysis and Machine Intelligence, 45(3):3292–3310, 2023

Reference 48

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Observation 2b9fc755-fb76-4a62-beba-8d6cce0fd0d0 · outbound

This paper cites The TUM VI benchmark for evaluating visual-inertial odometry.

RayTun3R: Online Camera Adaptation in 3D Foundation Models The TUM VI benchmark for evaluating visual-inertial odometry

Reference 49

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Observation 9fd810d6-f293-4165-b486-3ef89dff34a2 · outbound

This paper cites ScanNet++: A high-fidelity dataset of 3D indoor scenes.

RayTun3R: Online Camera Adaptation in 3D Foundation Models ScanNet++: A high-fidelity dataset of 3D indoor scenes

Reference 50

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Observation 1e6a4bc7-fa71-4d10-9f72-a621d717fd7f · outbound

This paper cites Schonberger, Silvano Galliani, Torsten Sattler, Konrad Schindler, Marc Pollefeys, and Andreas Geiger.

RayTun3R: Online Camera Adaptation in 3D Foundation Models Schonberger, Silvano Galliani, Torsten Sattler, Konrad Schindler, Marc Pollefeys, and Andreas Geiger

Reference 51

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Observation 70314ca4-2480-40f8-8768-4f275b6da68f · outbound

This paper cites FIORD: A fisheye indoor-outdoor dataset with LiDAR ground truth for 3D scene reconstruction and benchmarking.

RayTun3R: Online Camera Adaptation in 3D Foundation Models FIORD: A fisheye indoor-outdoor dataset with LiDAR ground truth for 3D scene reconstruction and benchmarking

Reference 52

Resolution: unresolved; no resolver link, observed 2026-07-12T07:34:18.588337Z

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Observation ae746180-5ce7-4c19-8ebb-6b924c3f4b9f · outbound

This paper cites Depth map prediction from a single image using a multi-scale deep network.

RayTun3R: Online Camera Adaptation in 3D Foundation Models Depth map prediction from a single image using a multi-scale deep network

Reference 53

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