SphereFusion: Efficient Panorama Depth Estimation via Gated Fusion | Paper Citation Record

Observation 5940d881-0f30-4913-9d6a-4c3072d6b74f · outbound

This paper cites Pano3d: A holistic benchmark and a solid baseline for 360deg depth estimation.

SphereFusion: Efficient Panorama Depth Estimation via Gated Fusion Pano3d: A holistic benchmark and a solid baseline for 360deg depth estimation

Reference 1

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Observation 87474b7b-7f6e-4547-909f-3a0912452b2f · outbound

This paper cites High Quality Monocular Depth Estimation via Transfer Learning.

SphereFusion: Efficient Panorama Depth Estimation via Gated Fusion High Quality Monocular Depth Estimation via Transfer Learning

Reference 2

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Observation ed70e1c3-feaf-484c-9d00-a702bb157b3d · outbound

This paper cites Joint 2D-3D-Semantic Data for Indoor Scene Understanding.

SphereFusion: Efficient Panorama Depth Estimation via Gated Fusion Joint 2D-3D-Semantic Data for Indoor Scene Understanding

Reference 3

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Observation 75b62cb2-2530-4607-9682-946277157e06 · outbound

This paper cites Adabins: Depth estimation using adaptive bins.

SphereFusion: Efficient Panorama Depth Estimation via Gated Fusion Adabins: Depth estimation using adaptive bins

Reference 4

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Observation c3e08a22-2d5d-4f0c-9153-a45abc9eb145 · outbound

This paper cites Unsupervised scale-consistent depth learning from video.In- ternational Journal of Computer Vision, 129(9):2548–2564,.

SphereFusion: Efficient Panorama Depth Estimation via Gated Fusion Unsupervised scale-consistent depth learning from video.In- ternational Journal of Computer Vision, 129(9):2548–2564,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T17:44:03.565045Z

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Observation 14810967-dc8c-4c8f-95a6-4532d3f60b58 · outbound

This paper cites Matterport3D: Learning from RGB-D Data in Indoor Environments.

SphereFusion: Efficient Panorama Depth Estimation via Gated Fusion Matterport3D: Learning from RGB-D Data in Indoor Environments

Reference 6

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Observation abbb23eb-9169-4718-8bbb-3c7eb358f705 · outbound

This paper cites Distortion-aware monocular depth estimation for omnidirectional images.

SphereFusion: Efficient Panorama Depth Estimation via Gated Fusion Distortion-aware monocular depth estimation for omnidirectional images

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T17:44:03.551999Z

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Observation 3ef24b9e-9222-4da7-9ea2-ed87fb420fd7 · outbound

This paper cites Cube padding for weakly-supervised saliency prediction in 360 videos.

SphereFusion: Efficient Panorama Depth Estimation via Gated Fusion Cube padding for weakly-supervised saliency prediction in 360 videos

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T17:44:03.540284Z

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Observation 353eaa51-4630-4969-a801-8c7f2b14a21f · outbound

This paper cites Omnidirectional depth extension networks.

SphereFusion: Efficient Panorama Depth Estimation via Gated Fusion Omnidirectional depth extension networks

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T17:44:03.528218Z

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Observation e72fc224-7ce7-4b75-9456-774b6571e6a2 · outbound

This paper cites Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation.

SphereFusion: Efficient Panorama Depth Estimation via Gated Fusion Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation

Reference 10

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Observation 4db42249-313c-45bf-adb4-026f46a903b8 · outbound

This paper cites MeshLab: an Open-Source Mesh Processing Tool.

SphereFusion: Efficient Panorama Depth Estimation via Gated Fusion MeshLab: an Open-Source Mesh Processing Tool

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T17:44:03.516202Z

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Observation 9b4bdaff-f870-4e67-bbae-f3b0249054fa · outbound

This paper cites Spherical CNNs.

SphereFusion: Efficient Panorama Depth Estimation via Gated Fusion Spherical CNNs

Reference 12

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Observation 2b0ddce4-4823-41f4-8e25-ea44ade4b216 · outbound

This paper cites Eliminating the blind spot: Adapting 3d object detection and monocular depth estimation to 360 panoramic imagery.

SphereFusion: Efficient Panorama Depth Estimation via Gated Fusion Eliminating the blind spot: Adapting 3d object detection and monocular depth estimation to 360 panoramic imagery

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T17:44:03.504744Z

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Observation 80e0a622-025b-4915-b17f-cd43051f5fff · outbound

This paper cites An image is worth 16x16 words: Transformers for image recognition at scale.

SphereFusion: Efficient Panorama Depth Estimation via Gated Fusion An image is worth 16x16 words: Transformers for image recognition at scale

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-08T17:44:02.458842Z

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Observation d74a1c32-21db-4f33-8e13-4118cb72680b · outbound

This paper cites Pano popups: In- door 3d reconstruction with a plane-aware network.

SphereFusion: Efficient Panorama Depth Estimation via Gated Fusion Pano popups: In- door 3d reconstruction with a plane-aware network

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T17:44:03.487225Z

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Observation 9def1480-94c0-4f9e-b329-f99320cf17e3 · outbound

This paper cites Mapped Convolutions.

SphereFusion: Efficient Panorama Depth Estimation via Gated Fusion Mapped Convolutions

Reference 16

Resolution: verified exact; local_arxiv, observed 2026-08-08T17:44:02.935441Z

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Observation e319b931-a945-4174-9dbe-02c7df3ab2f0 · outbound

This paper cites Tangent images for mitigating spherical distortion.

SphereFusion: Efficient Panorama Depth Estimation via Gated Fusion Tangent images for mitigating spherical distortion

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T17:44:03.476476Z

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Observation cb3a7baf-c1a1-4409-b193-a3800f713a0d · outbound

This paper cites Predicting depth, surface nor- mals and semantic labels with a common multi-scale con- volutional architecture.

SphereFusion: Efficient Panorama Depth Estimation via Gated Fusion Predicting depth, surface nor- mals and semantic labels with a common multi-scale con- volutional architecture

Reference 18

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Observation 53950acc-5ce5-4d39-8431-17a03de80d53 · outbound

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

SphereFusion: Efficient Panorama Depth Estimation via Gated Fusion Depth map prediction from a single image using a multi-scale deep net- work

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T17:44:03.458855Z

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Observation 88036844-1af6-42a4-885d-b7470257ebf8 · outbound

This paper cites Meshnet: Mesh neural network for 3d shape rep- resentation.

SphereFusion: Efficient Panorama Depth Estimation via Gated Fusion Meshnet: Mesh neural network for 3d shape rep- resentation

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T17:44:03.447297Z

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Observation 261ba8b0-bfb3-436d-b98c-ec63130c6793 · outbound

This paper cites Corners for layout: End-to-end layout recovery from 360 images.

SphereFusion: Efficient Panorama Depth Estimation via Gated Fusion Corners for layout: End-to-end layout recovery from 360 images

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T17:44:03.435483Z

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Observation f9bd146f-41a6-467d-85a9-fc20aa7d2b5c · outbound

This paper cites Digging into self-supervised monocular depth estimation.

SphereFusion: Efficient Panorama Depth Estimation via Gated Fusion Digging into self-supervised monocular depth estimation

Reference 22

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Observation b88bfb7b-e640-4840-8bbd-c73d8d526380 · outbound

This paper cites Meshcnn: a network with an edge.

SphereFusion: Efficient Panorama Depth Estimation via Gated Fusion Meshcnn: a network with an edge

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T17:44:03.416209Z

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Observation 8ebca19d-21d5-467c-83a6-38cffc809d07 · outbound

This paper cites Deep residual learning for image recognition.

SphereFusion: Efficient Panorama Depth Estimation via Gated Fusion Deep residual learning for image recognition

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T17:44:03.405228Z

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Observation 650917b1-0efe-4312-b1d9-e0232b6beab2 · outbound

This paper cites Auto- matic photo pop-up.

SphereFusion: Efficient Panorama Depth Estimation via Gated Fusion Auto- matic photo pop-up

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T17:44:03.393129Z

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Observation b33691fb-1cdb-4d36-a80b-3b8fc5b9fb35 · outbound

This paper cites Jittor: a novel deep learning framework with meta-operators and unified graph execution.

SphereFusion: Efficient Panorama Depth Estimation via Gated Fusion Jittor: a novel deep learning framework with meta-operators and unified graph execution

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T17:44:03.381146Z

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Observation 3b19ea28-4095-40ff-bec7-857f6106d219 · outbound

This paper cites Subdivision-based mesh convolution networks.

SphereFusion: Efficient Panorama Depth Estimation via Gated Fusion Subdivision-based mesh convolution networks

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T17:44:03.370128Z

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Observation 8735c9fa-ef50-4291-b12f-ad5376d3468b · outbound

This paper cites Spherical CNNs on Unstructured Grids.

SphereFusion: Efficient Panorama Depth Estimation via Gated Fusion Spherical CNNs on Unstructured Grids

Reference 28

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Observation c2d1e3b4-bbd8-43ad-87bf-26cd3f73d0b2 · outbound

This paper cites Unifuse: Unidirectional fusion for 360 panorama depth estimation.

SphereFusion: Efficient Panorama Depth Estimation via Gated Fusion Unifuse: Unidirectional fusion for 360 panorama depth estimation

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T17:44:03.358978Z

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Observation 711cbe80-f43d-4c19-a1cc-83d74972c353 · outbound

This paper cites Geometric structure based and regularized depth estimation from 360 indoor imagery.

SphereFusion: Efficient Panorama Depth Estimation via Gated Fusion Geometric structure based and regularized depth estimation from 360 indoor imagery

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T17:44:03.347364Z

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Observation d09ed414-3ded-4b98-822a-c65ebdf10254 · outbound

This paper cites Himode: A hybrid monocular omnidirectional depth estimation model.

SphereFusion: Efficient Panorama Depth Estimation via Gated Fusion Himode: A hybrid monocular omnidirectional depth estimation model

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T17:44:03.336789Z

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Observation 1d9d7721-9061-4f09-85ef-ad7ef233d3fd · outbound

This paper cites Deeper depth prediction with fully convolutional residual networks.

SphereFusion: Efficient Panorama Depth Estimation via Gated Fusion Deeper depth prediction with fully convolutional residual networks

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-08T17:44:02.747084Z

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Observation c3595f34-de1a-4ec2-abdc-fbb273f30718 · outbound

This paper cites Spherephd: Applying cnns on 360° images with non-euclidean spherical polyhedron represen- tation.

SphereFusion: Efficient Panorama Depth Estimation via Gated Fusion Spherephd: Applying cnns on 360° images with non-euclidean spherical polyhedron represen- tation

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T17:44:03.317687Z

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Observation 381d494d-ae4d-4695-b0a7-00dfca89f2ee · outbound

This paper cites Omnifusion: 360 monocular depth estimation via geometry-aware fusion.

SphereFusion: Efficient Panorama Depth Estimation via Gated Fusion Omnifusion: 360 monocular depth estimation via geometry-aware fusion

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T17:44:03.306531Z

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Observation 0170239c-f98e-4ba1-8872-81a997472cb8 · outbound

This paper cites P3depth: Monocular depth estimation with a piecewise planarity prior.

SphereFusion: Efficient Panorama Depth Estimation via Gated Fusion P3depth: Monocular depth estimation with a piecewise planarity prior

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T17:44:03.295652Z

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Observation 3c4362ee-87fe-43ea-8bd3-b98e85d27afc · outbound

This paper cites High-Resolution Depth Estimation for 360-degree Panoramas through Perspective and Panoramic Depth Images Registration.

SphereFusion: Efficient Panorama Depth Estimation via Gated Fusion High-Resolution Depth Estimation for 360-degree Panoramas through Perspective and Panoramic Depth Images Registration

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-08T17:44:02.760573Z

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Observation a23e11f4-e3ba-43e9-9441-0df59749cb7b · outbound

This paper cites Slicenet: deep dense depth esti- mation from a single indoor panorama using a slice-based representation.

SphereFusion: Efficient Panorama Depth Estimation via Gated Fusion Slicenet: deep dense depth esti- mation from a single indoor panorama using a slice-based representation

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T17:44:03.284039Z

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Observation 080a882b-38f8-47c6-8b43-fd1c6f8695ce · outbound

This paper cites Towards robust monocular depth estimation: Mixing datasets for zero-shot cross-dataset transfer.

SphereFusion: Efficient Panorama Depth Estimation via Gated Fusion Towards robust monocular depth estimation: Mixing datasets for zero-shot cross-dataset transfer

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T17:44:03.272855Z

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Observation 2c5b80bf-b90c-40b9-8969-192c3ab135b9 · outbound

This paper cites 360monodepth: High-resolution 360deg monocular depth estimation.

SphereFusion: Efficient Panorama Depth Estimation via Gated Fusion 360monodepth: High-resolution 360deg monocular depth estimation

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T17:44:03.260738Z

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Observation 76f03ef8-3094-4926-8e02-2b0dd1885fbf · outbound

This paper cites U- net: Convolutional networks for biomedical image segmen- tation.

SphereFusion: Efficient Panorama Depth Estimation via Gated Fusion U- net: Convolutional networks for biomedical image segmen- tation

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-08T17:44:02.774575Z

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Observation b6eef0de-1a59-4a33-9620-7e14abf74754 · outbound

This paper cites Make3d: Learning 3d scene structure from a single still image.

SphereFusion: Efficient Panorama Depth Estimation via Gated Fusion Make3d: Learning 3d scene structure from a single still image

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T17:44:03.242735Z

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Observation 1f0b7f61-b5b1-411e-9406-35249bbb3573 · outbound

This paper cites Panoformer: Panorama transformer for indoor 360 depth estimation.

SphereFusion: Efficient Panorama Depth Estimation via Gated Fusion Panoformer: Panorama transformer for indoor 360 depth estimation

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T17:44:03.230929Z

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Observation 992951ad-d4c4-4218-b10a-b34684d02511 · outbound

This paper cites Neural contourlet network for monocular 360 depth estimation.

SphereFusion: Efficient Panorama Depth Estimation via Gated Fusion Neural contourlet network for monocular 360 depth estimation

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T17:44:03.219179Z

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Observation b2236a00-7993-4360-9362-c79793c64001 · outbound

This paper cites Standardization status of 360 degree video coding and delivery.

SphereFusion: Efficient Panorama Depth Estimation via Gated Fusion Standardization status of 360 degree video coding and delivery

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T17:44:03.207471Z

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Observation 961f9501-7840-42cd-8915-990dfb51b878 · outbound

This paper cites Kernel transformer net- works for compact spherical convolution.

SphereFusion: Efficient Panorama Depth Estimation via Gated Fusion Kernel transformer net- works for compact spherical convolution

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-08T17:44:02.793363Z

Source-reported events for the cited work

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Observation de9698f8-5678-423d-806f-5d699006b966 · outbound

This paper cites Hohonet: 360 indoor holistic understanding with latent horizontal fea- tures.

SphereFusion: Efficient Panorama Depth Estimation via Gated Fusion Hohonet: 360 indoor holistic understanding with latent horizontal fea- tures

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T17:44:03.190249Z

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Observation 238b096e-a53d-4409-bf61-6abe3426fd66 · outbound

This paper cites Distortion-aware convolutional filters for dense prediction in panoramic images.

SphereFusion: Efficient Panorama Depth Estimation via Gated Fusion Distortion-aware convolutional filters for dense prediction in panoramic images

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T17:44:03.179097Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation a20e8b50-dcac-4ffa-9e32-c25a5e7c81bc · outbound

This paper cites Bifuse: Monocular 360 depth estimation via bi-projection fusion.

SphereFusion: Efficient Panorama Depth Estimation via Gated Fusion Bifuse: Monocular 360 depth estimation via bi-projection fusion

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T17:44:03.167974Z

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Observation a4ae2eeb-d6da-475e-b3d0-0be7ab18a926 · outbound

This paper cites 360sd-net: 360 stereo depth estimation with learnable cost volume.

SphereFusion: Efficient Panorama Depth Estimation via Gated Fusion 360sd-net: 360 stereo depth estimation with learnable cost volume

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T17:44:03.157654Z

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Observation a8ae84ee-78f7-43a5-b061-abbca2600b80 · outbound

This paper cites The temporal opportunist: Self-supervised multi-frame monocular depth.

SphereFusion: Efficient Panorama Depth Estimation via Gated Fusion The temporal opportunist: Self-supervised multi-frame monocular depth

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T17:44:03.147326Z

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Observation 4e8fa302-b4e2-45e7-ad10-52d808e9ac53 · outbound

This paper cites Spheredepth: Panorama depth estima- tion from spherical domain.

SphereFusion: Efficient Panorama Depth Estimation via Gated Fusion Spheredepth: Panorama depth estima- tion from spherical domain

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T17:44:03.135932Z

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Observation 4c61b944-5f0b-4214-ab93-82cceee362c4 · outbound

This paper cites Virtual normal: En- forcing geometric constraints for accurate and robust depth prediction.

SphereFusion: Efficient Panorama Depth Estimation via Gated Fusion Virtual normal: En- forcing geometric constraints for accurate and robust depth prediction

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T17:44:03.123802Z

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Observation 6e5c599b-d719-4364-9ef7-441e5fd9a2c3 · outbound

This paper cites Flat2sphere: Learning spheri- cal convolution for fast features from 360 imagery.

SphereFusion: Efficient Panorama Depth Estimation via Gated Fusion Flat2sphere: Learning spheri- cal convolution for fast features from 360 imagery

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T17:44:03.112323Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 8b2e025f-7589-495c-a689-96fdac4dcfca · outbound

This paper cites NeW CRFs: Neural Window Fully-connected CRFs for Monocular Depth Estimation.

SphereFusion: Efficient Panorama Depth Estimation via Gated Fusion NeW CRFs: Neural Window Fully-connected CRFs for Monocular Depth Estimation

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-08T17:44:02.829782Z

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Unavailable: canonical work link unavailable.

Observation 63829183-7877-4af4-8b71-1c63a4c359fb · outbound

This paper cites Joint 3d layout and depth prediction from a single indoor panorama image.

SphereFusion: Efficient Panorama Depth Estimation via Gated Fusion Joint 3d layout and depth prediction from a single indoor panorama image

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T17:44:03.099809Z

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Observation fa5b4205-92cd-4699-992b-814702c3471b · outbound

This paper cites To- wards better generalization: Joint depth-pose learning with- out posenet.

SphereFusion: Efficient Panorama Depth Estimation via Gated Fusion To- wards better generalization: Joint depth-pose learning with- out posenet

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T17:44:03.087562Z

Source-reported events for the cited work

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Observation 23b1715e-0eab-4de1-9d50-de3fb8e78522 · outbound

This paper cites Structured3d: A large photo-realistic dataset for structured 3d modeling.

SphereFusion: Efficient Panorama Depth Estimation via Gated Fusion Structured3d: A large photo-realistic dataset for structured 3d modeling

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T17:44:03.075595Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation a27e9aa1-de7d-4288-a320-8f774a93fdf8 · outbound

This paper cites Unsupervised learning of depth and ego-motion from video.

SphereFusion: Efficient Panorama Depth Estimation via Gated Fusion Unsupervised learning of depth and ego-motion from video

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-08T17:44:02.845746Z

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Unavailable: canonical work link unavailable.

Observation 644f47c2-6754-49dd-8d90-a3c25e416b1b · outbound

This paper cites Omnidepth: Dense depth estimation for indoors spherical panoramas.

SphereFusion: Efficient Panorama Depth Estimation via Gated Fusion Omnidepth: Dense depth estimation for indoors spherical panoramas

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T17:44:03.053886Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 32baaf1c-3082-42ba-9c8b-9fcec1a66b0a · outbound

This paper cites an unresolved cited work.

SphereFusion: Efficient Panorama Depth Estimation via Gated Fusion Unresolved cited work

Reference 60

Resolution: unresolved; raw_fallback, observed 2026-08-08T17:44:03.041319Z

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 9d1b3499-8767-4d74-be67-e694da288b40 · outbound

This paper cites Fol- lowing BiFuse [48], we use five evaluation metrics, includ- ing MAE, MRE, RMSE, RMSE(log), and δn.

SphereFusion: Efficient Panorama Depth Estimation via Gated Fusion Fol- lowing BiFuse [48], we use five evaluation metrics, includ- ing MAE, MRE, RMSE, RMSE(log), and δn

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T17:44:03.029726Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 04ca2d2b-15cf-481c-b82d-abd175056e71 · outbound

This paper cites On 360D [59], we compare our method with SphereDepth [51] and UniFuse [29].

SphereFusion: Efficient Panorama Depth Estimation via Gated Fusion On 360D [59], we compare our method with SphereDepth [51] and UniFuse [29]

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T17:44:03.017790Z

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 85e9cf98-a085-41d5-b034-d4c46031d04e · outbound

This paper cites Figure 12 and Fig- ure 13 show depth maps generated by different methods on Matterport3D and corresponding point clouds.

SphereFusion: Efficient Panorama Depth Estimation via Gated Fusion Figure 12 and Fig- ure 13 show depth maps generated by different methods on Matterport3D and corresponding point clouds

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T17:44:03.005447Z

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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