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Paper Citation Record · LEDGER

NeRFs are Mirror Detectors: Using Structural Similarity for Multi-View Mirror Scene Reconstruction with 3D Surface Primitives

As of 11 August 2026, this Paper Citation Record lists 100 of 126 outbound references and 0 inbound Pith citation observations for arXiv:2501.04074.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2501.04074 v1

Coverage vector

measured 100 of 126 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T21:44:41.443320Z

measured 100 of 100 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

100 of 126 outbound references displayed

  • verified exact3
  • verified fuzzy44
  • unresolved53
  • parse uncertain0
  • malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 23113f3f-c6b4-4e84-b911-39ef9068f692 · outbound

This paper cites T¨oRF: Time-of-flight radiance fields for dynamic scene view synthesis.

NeRFs are Mirror Detectors: Using Structural Similarity for Multi-View Mirror Scene Reconstruction with 3D Surface Primitives T¨oRF: Time-of-flight radiance fields for dynamic scene view synthesis

Reference 1

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Observation ad1d337c-47a3-47c9-b621-21ba90edb357 · outbound

This paper cites Mip-nerf: A multiscale representation for anti-aliasing neu- ral radiance fields.

NeRFs are Mirror Detectors: Using Structural Similarity for Multi-View Mirror Scene Reconstruction with 3D Surface Primitives Mip-nerf: A multiscale representation for anti-aliasing neu- ral radiance fields

Reference 2

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Observation c65cfd0e-0d60-40e9-a7be-6256990ac489 · outbound

This paper cites Mip-nerf 360: Unbounded anti-aliased neural radiance fields.

NeRFs are Mirror Detectors: Using Structural Similarity for Multi-View Mirror Scene Reconstruction with 3D Surface Primitives Mip-nerf 360: Unbounded anti-aliased neural radiance fields

Reference 3

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Observation c6e91711-e10f-44ba-8dad-7b14a8821b2a · outbound

This paper cites Zip-nerf: Anti-aliased grid- based neural radiance fields.

NeRFs are Mirror Detectors: Using Structural Similarity for Multi-View Mirror Scene Reconstruction with 3D Surface Primitives Zip-nerf: Anti-aliased grid- based neural radiance fields

Reference 4

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Observation 44bb3be5-ca41-495a-b065-716c142633a8 · outbound

This paper cites Neural Reflectance Fields for Appearance Acquisition.

NeRFs are Mirror Detectors: Using Structural Similarity for Multi-View Mirror Scene Reconstruction with 3D Surface Primitives Neural Reflectance Fields for Appearance Acquisition

Reference 5

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Observation a92601e5-d97c-4498-9902-4ee9df6f50f4 · outbound

This paper cites Deep reflectance volumes: Relightable recon- structions from multi-view photometric images.

NeRFs are Mirror Detectors: Using Structural Similarity for Multi-View Mirror Scene Reconstruction with 3D Surface Primitives Deep reflectance volumes: Relightable recon- structions from multi-view photometric images

Reference 6

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Observation 3667786b-ef2c-4717-a1d3-899a5e8757bc · outbound

This paper cites NoPe-NeRF: Optimising neural radiance field with no pose prior.

NeRFs are Mirror Detectors: Using Structural Similarity for Multi-View Mirror Scene Reconstruction with 3D Surface Primitives NoPe-NeRF: Optimising neural radiance field with no pose prior

Reference 7

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source=pdf_text observed=2026-08-10T21:44:40.593705Z digest=sha256:e70a500c1b21ebbe768fad2bb22596525c7c51599d388369da94c8da0a6d029c

Observation b36c8005-3f9d-4035-acf4-e1a392181954 · outbound

This paper cites Barron, Ce Liu, and Hendrik Lensch.

NeRFs are Mirror Detectors: Using Structural Similarity for Multi-View Mirror Scene Reconstruction with 3D Surface Primitives Barron, Ce Liu, and Hendrik Lensch

Reference 8

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Observation 77ade95a-7a1c-4d29-a2f7-bd858cd476d6 · outbound

This paper cites Samurai: Shape and material from uncon- strained real-world arbitrary image collections.

NeRFs are Mirror Detectors: Using Structural Similarity for Multi-View Mirror Scene Reconstruction with 3D Surface Primitives Samurai: Shape and material from uncon- strained real-world arbitrary image collections

Reference 9

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source=pdf_text observed=2026-08-10T21:44:40.606098Z digest=sha256:3dd2f80cd3e8dce8257e12d56fd703a10b27a9ce844c181b69765236c0e0dc73

Observation 8266941f-252a-4fbf-881f-35c9b1f47f32 · outbound

This paper cites Neural-pil: Neu- ral pre-integrated lighting for reflectance decomposition.

NeRFs are Mirror Detectors: Using Structural Similarity for Multi-View Mirror Scene Reconstruction with 3D Surface Primitives Neural-pil: Neu- ral pre-integrated lighting for reflectance decomposition

Reference 10

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Observation 1e0e10ce-3bf7-4d17-a23c-3fd278fdf400 · outbound

This paper cites Real-time neural light field on mo- bile devices.

NeRFs are Mirror Detectors: Using Structural Similarity for Multi-View Mirror Scene Reconstruction with 3D Surface Primitives Real-time neural light field on mo- bile devices

Reference 11

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Observation c97ab470-e7b3-424d-8fd0-723f3819c385 · outbound

This paper cites Tensorf: Tensorial radiance fields.

NeRFs are Mirror Detectors: Using Structural Similarity for Multi-View Mirror Scene Reconstruction with 3D Surface Primitives Tensorf: Tensorial radiance fields

Reference 12

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source=pdf_text observed=2026-08-10T21:44:40.627567Z digest=sha256:c150d2312bd128f0c40b43abff1331b13a876fa5f8d1379413bb57b8c78f3525

Observation 6bf36b4f-86b7-4da0-bd42-4e0d4c2755ff · outbound

This paper cites Animatable Neural Radiance Fields from Monocular RGB Videos.

NeRFs are Mirror Detectors: Using Structural Similarity for Multi-View Mirror Scene Reconstruction with 3D Surface Primitives Animatable Neural Radiance Fields from Monocular RGB Videos

Reference 13

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Observation d7305047-f578-4563-a00d-fbe89c83c88a · outbound

This paper cites Hallucinated neural radiance fields in the wild.

NeRFs are Mirror Detectors: Using Structural Similarity for Multi-View Mirror Scene Reconstruction with 3D Surface Primitives Hallucinated neural radiance fields in the wild

Reference 14

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source=pdf_text observed=2026-08-10T21:44:40.640309Z digest=sha256:895fb5f9abf4bbaa2f714f9cdb51f3bd68284e99d576cf985cb87c4d9710aa6f

Observation 6e23563f-90ba-4c4e-8424-55808636dda8 · outbound

This paper cites Local-to-global registration for bundle-adjusting neural radiance fields.

NeRFs are Mirror Detectors: Using Structural Similarity for Multi-View Mirror Scene Reconstruction with 3D Surface Primitives Local-to-global registration for bundle-adjusting neural radiance fields

Reference 15

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source=pdf_text observed=2026-08-10T21:44:40.645897Z digest=sha256:c0efedf1a69bec19d510886027304537673b4bd2738feec3eb06cb3eda695c37

Observation 7f4b41f3-cb9b-43e4-a98a-f9d796f4a93b · outbound

This paper cites DBARF: deep bundle-adjusting generalizable neural radiance fields.

NeRFs are Mirror Detectors: Using Structural Similarity for Multi-View Mirror Scene Reconstruction with 3D Surface Primitives DBARF: deep bundle-adjusting generalizable neural radiance fields

Reference 16

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source=pdf_text observed=2026-08-10T21:44:40.655687Z digest=sha256:9d495edda6b3078da2b55faca8466f938746ce5341354b24adcd97c8e9606adb

Observation 7eee880a-d2aa-4e86-be3a-6aa6666a25b9 · outbound

This paper cites MobileNeRF: Exploiting the polygon rasterization pipeline for efficient neural field rendering on mobile architectures.

NeRFs are Mirror Detectors: Using Structural Similarity for Multi-View Mirror Scene Reconstruction with 3D Surface Primitives MobileNeRF: Exploiting the polygon rasterization pipeline for efficient neural field rendering on mobile architectures

Reference 17

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Observation b7d0684d-2ea8-493f-9a05-01adceaeac8e · outbound

This paper cites LU-NeRF: Scene and pose estimation by synchronizing local unposed nerfs.

NeRFs are Mirror Detectors: Using Structural Similarity for Multi-View Mirror Scene Reconstruction with 3D Surface Primitives LU-NeRF: Scene and pose estimation by synchronizing local unposed nerfs

Reference 18

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Observation fa75eb2c-3c43-4a97-801f-f8aa75fe68cd · outbound

This paper cites Streamable neural fields.

NeRFs are Mirror Detectors: Using Structural Similarity for Multi-View Mirror Scene Reconstruction with 3D Surface Primitives Streamable neural fields

Reference 19

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Observation 9627cfac-bd2f-418f-8c27-0786a3ff9ce4 · outbound

This paper cites Orbeez-SLAM: A real- time monocular visual SLAM with ORB features and nerf- realized mapping.

NeRFs are Mirror Detectors: Using Structural Similarity for Multi-View Mirror Scene Reconstruction with 3D Surface Primitives Orbeez-SLAM: A real- time monocular visual SLAM with ORB features and nerf- realized mapping

Reference 20

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Observation eeab06dc-32c6-4d54-b2be-c323222f29c8 · outbound

This paper cites Depth-supervised NeRF: Fewer views and faster training for free.

NeRFs are Mirror Detectors: Using Structural Similarity for Multi-View Mirror Scene Reconstruction with 3D Surface Primitives Depth-supervised NeRF: Fewer views and faster training for free

Reference 21

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Observation c9ad27a0-4673-4dee-a218-39d1bc46e0bd · outbound

This paper cites Neural radiance flow for 4D view synthesis and video processing.

NeRFs are Mirror Detectors: Using Structural Similarity for Multi-View Mirror Scene Reconstruction with 3D Surface Primitives Neural radiance flow for 4D view synthesis and video processing

Reference 22

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Observation 01245ce7-0bfa-4667-b9f5-0fb7a1a1f9fd · outbound

This paper cites Factored-NeuS: Reconstructing Surfaces, Illumination, and Materials of Possibly Glossy Objects.

NeRFs are Mirror Detectors: Using Structural Similarity for Multi-View Mirror Scene Reconstruction with 3D Surface Primitives Factored-NeuS: Reconstructing Surfaces, Illumination, and Materials of Possibly Glossy Objects

Reference 23

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Observation 122e03ff-7585-452e-9465-73c5b003eedf · outbound

This paper cites Fast dynamic radiance fields with time-aware neural voxels.

NeRFs are Mirror Detectors: Using Structural Similarity for Multi-View Mirror Scene Reconstruction with 3D Surface Primitives Fast dynamic radiance fields with time-aware neural voxels

Reference 24

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Observation 6fd63fcc-9861-4dc1-8301-4305b021e20a · outbound

This paper cites Random sample consensus: a paradigm for model fitting with applications to image analysis and automated cartography.

NeRFs are Mirror Detectors: Using Structural Similarity for Multi-View Mirror Scene Reconstruction with 3D Surface Primitives Random sample consensus: a paradigm for model fitting with applications to image analysis and automated cartography

Reference 25

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Observation c8128d59-7091-4e46-89c0-d61fb49549e1 · outbound

This paper cites Plenoxels: Radiance fields without neural networks.

NeRFs are Mirror Detectors: Using Structural Similarity for Multi-View Mirror Scene Reconstruction with 3D Surface Primitives Plenoxels: Radiance fields without neural networks

Reference 26

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Observation e445d181-2556-406f-82f6-0dbbcf176219 · outbound

This paper cites Dynamic neural radiance fields for monocular 4D facial avatar reconstruction.

NeRFs are Mirror Detectors: Using Structural Similarity for Multi-View Mirror Scene Reconstruction with 3D Surface Primitives Dynamic neural radiance fields for monocular 4D facial avatar reconstruction

Reference 27

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source=pdf_text observed=2026-08-10T21:44:40.742592Z digest=sha256:74e0270e0316134f7868aa1b41db7a3a6d4655ebd9f53b058c6abc37dc4e6419

Observation 7dd3f31b-7ec2-4f11-b231-ec355e105148 · outbound

This paper cites Dynamic view synthesis from dynamic monocu- lar video.

NeRFs are Mirror Detectors: Using Structural Similarity for Multi-View Mirror Scene Reconstruction with 3D Surface Primitives Dynamic view synthesis from dynamic monocu- lar video

Reference 28

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source=pdf_text observed=2026-08-10T21:44:40.750184Z digest=sha256:cc3813fc7d84848db2304c64a23b8ecb6aaef99dae771e7d78c71b31003025ef

Observation 0bb74eb2-066c-4d66-92e6-4b392762e585 · outbound

This paper cites Fastnerf: High-fidelity neural rendering at 200fps.

NeRFs are Mirror Detectors: Using Structural Similarity for Multi-View Mirror Scene Reconstruction with 3D Surface Primitives Fastnerf: High-fidelity neural rendering at 200fps

Reference 29

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Observation 230e7e7b-a427-40b8-b73d-74bc43b1d1d0 · outbound

This paper cites Ref-neus: Ambiguity-reduced neural implicit surface learning for multi-view reconstruction with reflec- tion.

NeRFs are Mirror Detectors: Using Structural Similarity for Multi-View Mirror Scene Reconstruction with 3D Surface Primitives Ref-neus: Ambiguity-reduced neural implicit surface learning for multi-view reconstruction with reflec- tion

Reference 30

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Observation d6a38e94-0cb3-4566-838e-1a4173cf8212 · outbound

This paper cites Nerfren: Neural radiance fields with reflections.

NeRFs are Mirror Detectors: Using Structural Similarity for Multi-View Mirror Scene Reconstruction with 3D Surface Primitives Nerfren: Neural radiance fields with reflections

Reference 31

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source=pdf_text observed=2026-08-10T21:44:40.774038Z digest=sha256:b3a900c08aa6e222f48e746b3961e53d11d3c3e0069b0f5c88ba5fa34fd6c38e

Observation 110e6738-ede7-4173-99ab-d3b5a5fa2e0b · outbound

This paper cites Kim, and Jin-Hwa Kim.

NeRFs are Mirror Detectors: Using Structural Similarity for Multi-View Mirror Scene Reconstruction with 3D Surface Primitives Kim, and Jin-Hwa Kim

Reference 32

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Observation 41aa3268-270e-45b3-871c-94952cd9c4f8 · outbound

This paper cites Tram-NeRF: Trac- ing Mirror and Near-Perfect Specular Reflections Through Neural Radiance Fields.

NeRFs are Mirror Detectors: Using Structural Similarity for Multi-View Mirror Scene Reconstruction with 3D Surface Primitives Tram-NeRF: Trac- ing Mirror and Near-Perfect Specular Reflections Through Neural Radiance Fields

Reference 33

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source=pdf_text observed=2026-08-10T21:44:40.796419Z digest=sha256:a6788dc69e0eadf7028b7f05dfd11331f450d580f0771ccb815ffa49d843f07b

Observation dcfe3c68-18af-4c7a-8886-181eeebbbdca · outbound

This paper cites Hdr-nerf: High dynamic range neu- ral radiance fields.

NeRFs are Mirror Detectors: Using Structural Similarity for Multi-View Mirror Scene Reconstruction with 3D Surface Primitives Hdr-nerf: High dynamic range neu- ral radiance fields

Reference 34

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source=pdf_text observed=2026-08-10T21:44:40.804007Z digest=sha256:d9f73464f0e13b410e062c9b7a1141a47059f34c5f82b93af44455c636233be4

Observation 2df77cdb-f6b7-4020-9f4b-dbf7cb516db7 · outbound

This paper cites Self-calibrating neural radiance fields.

NeRFs are Mirror Detectors: Using Structural Similarity for Multi-View Mirror Scene Reconstruction with 3D Surface Primitives Self-calibrating neural radiance fields

Reference 35

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source=pdf_text observed=2026-08-10T21:44:40.813118Z digest=sha256:3b56fb08aef723f03807a01d374fe8aaa88519d7b6e7f3a97bdd17efc642ccb7

Observation c36cfdb4-491a-4a77-9d84-a57a876a9894 · outbound

This paper cites AligNeRF: High-fidelity neural radiance fields via alignment-aware training.

NeRFs are Mirror Detectors: Using Structural Similarity for Multi-View Mirror Scene Reconstruction with 3D Surface Primitives AligNeRF: High-fidelity neural radiance fields via alignment-aware training

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-10T21:44:40.823085Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:44:40.823085Z digest=sha256:da239f06524a7ba3c12afc8ce50c69d4c18b2cad63fe1f59d742e521dd5b1f06

Observation d847498a-0238-4d91-b0f6-3d82be7474b9 · outbound

This paper cites Tensoir: Tensorial inverse rendering.

NeRFs are Mirror Detectors: Using Structural Similarity for Multi-View Mirror Scene Reconstruction with 3D Surface Primitives Tensoir: Tensorial inverse rendering

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-10T21:44:40.831704Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:44:40.831704Z digest=sha256:4e8d0a7797246783c433446188e97f26eea2311ff8365ac117524018af9f3564

Observation 73220a46-cb41-4f35-936e-8b4cd6e64e38 · outbound

This paper cites HDR-Plenoxels: Self-calibrating high dynamic range radiance fields.

NeRFs are Mirror Detectors: Using Structural Similarity for Multi-View Mirror Scene Reconstruction with 3D Surface Primitives HDR-Plenoxels: Self-calibrating high dynamic range radiance fields

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-10T21:44:40.841755Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:44:40.841755Z digest=sha256:c0fcfb103417af9be30b21dd556a8bf7e1cefa37315a4c01a6b54078f820f484

Observation ce0ea99c-595c-4993-8cd2-3711ece68331 · outbound

This paper cites 3d gaussian splatting for real-time radiance field rendering.

NeRFs are Mirror Detectors: Using Structural Similarity for Multi-View Mirror Scene Reconstruction with 3D Surface Primitives 3d gaussian splatting for real-time radiance field rendering

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-10T21:44:40.854728Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:44:40.854728Z digest=sha256:374a7c8c6dacd1945220995201df92b862e42649f9860cae50dfb74e378b739e

Observation e844e71b-d858-4396-9a76-0a83cdb1ecb5 · outbound

This paper cites Neroic: Neural rendering of objects from online image collections.

NeRFs are Mirror Detectors: Using Structural Similarity for Multi-View Mirror Scene Reconstruction with 3D Surface Primitives Neroic: Neural rendering of objects from online image collections

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-10T21:44:40.863006Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:44:40.863006Z digest=sha256:492a126ddd4ffdd20749251fb1d97d5e22fe162063ca02c7c19eb5626626453c

Observation 68dd7ba3-be08-4ce3-a0ec-3fd47edede8b · outbound

This paper cites Modular primitives for high-performance differentiable rendering.

NeRFs are Mirror Detectors: Using Structural Similarity for Multi-View Mirror Scene Reconstruction with 3D Surface Primitives Modular primitives for high-performance differentiable rendering

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-10T21:44:40.870016Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:44:40.870016Z digest=sha256:36ad162b34ebd0862a1b07ed1c6f5f2e0d39fe894650cd48bc2a0a20165b97b5

Observation 9126fca7-5ae8-4850-a938-a6a548845592 · outbound

This paper cites Streaming radiance fields for 3d video synthesis.

NeRFs are Mirror Detectors: Using Structural Similarity for Multi-View Mirror Scene Reconstruction with 3D Surface Primitives Streaming radiance fields for 3d video synthesis

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-10T21:44:40.876996Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:44:40.876996Z digest=sha256:9373a19c73de036d9b78841afbfa3ba1216dacce417dee5d2544e3fee6069560

Observation 1c2d102f-458a-4351-82ad-52a056458934 · outbound

This paper cites Uhd- nerf: Ultra-high-definition neural radiance fields.

NeRFs are Mirror Detectors: Using Structural Similarity for Multi-View Mirror Scene Reconstruction with 3D Surface Primitives Uhd- nerf: Ultra-high-definition neural radiance fields

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-10T21:44:40.883160Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:44:40.883160Z digest=sha256:a8faf4d2e4e42fbe078a3c4b271f4456cd63718e782455677cae3022461de653

Observation aeb0b6e4-33ee-466f-b182-29d08d0e7f9c · outbound

This paper cites Neu- ral 3D video synthesis from multi-view video.

NeRFs are Mirror Detectors: Using Structural Similarity for Multi-View Mirror Scene Reconstruction with 3D Surface Primitives Neu- ral 3D video synthesis from multi-view video

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-10T21:44:40.894962Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:44:40.894962Z digest=sha256:979e78bb61eccb25df1becbb4720d4a0e7c52ed861b8c393c4e2be662fe40ff2

Observation fb62731b-aa7f-4ff0-95fc-3485fb80dbdb · outbound

This paper cites Neural scene flow fields for space-time view synthe- sis of dynamic scenes.

NeRFs are Mirror Detectors: Using Structural Similarity for Multi-View Mirror Scene Reconstruction with 3D Surface Primitives Neural scene flow fields for space-time view synthe- sis of dynamic scenes

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-10T21:44:40.907393Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:44:40.907393Z digest=sha256:5ca26d2ea3601c739ac67afd0d210c59add53965a0ab7ca68c077b6b0b2006e8

Observation 8ac26e2d-7528-48db-86cc-c903d2900035 · outbound

This paper cites DynIBaR: neural dynamic image-based rendering.

NeRFs are Mirror Detectors: Using Structural Similarity for Multi-View Mirror Scene Reconstruction with 3D Surface Primitives DynIBaR: neural dynamic image-based rendering

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-10T21:44:40.914194Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:44:40.914194Z digest=sha256:f0bf847722857c01a43a8f4bd0a71e3c944457f37d3f237bb89176c31dd4cee5

Observation d8e08add-a49e-4cbc-8000-939749ed27db · outbound

This paper cites Envidr: Im- plicit differentiable renderer with neural environment light- ing.

NeRFs are Mirror Detectors: Using Structural Similarity for Multi-View Mirror Scene Reconstruction with 3D Surface Primitives Envidr: Im- plicit differentiable renderer with neural environment light- ing

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-10T21:44:40.923320Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:44:40.923320Z digest=sha256:a406dc5654c2d7817f05d6cbb0a8dffb5753268f374c064ec582a0fa26666169

Observation 2cd535f9-017c-4109-8096-f62c207ed915 · outbound

This paper cites BaRF: Bundle-adjusting neural radiance fields.

NeRFs are Mirror Detectors: Using Structural Similarity for Multi-View Mirror Scene Reconstruction with 3D Surface Primitives BaRF: Bundle-adjusting neural radiance fields

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-10T21:44:40.929415Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:44:40.929415Z digest=sha256:6c88af1c35ace4528207611192e6879db7f9240ec5d7a609e9032d7d379aca45

Observation 2b21e563-9ecc-4ad5-b8c3-1fe761d8b5df · outbound

This paper cites NeRF-Loc: Visual localization with conditional neural ra- diance field.

NeRFs are Mirror Detectors: Using Structural Similarity for Multi-View Mirror Scene Reconstruction with 3D Surface Primitives NeRF-Loc: Visual localization with conditional neural ra- diance field

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-10T21:44:40.936555Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:44:40.936555Z digest=sha256:cd941f4886f084464584a4c5154d1151019def5c2927c91fd2c75695b414ba74

Observation 603d34a6-b920-4197-a985-93227e77a856 · outbound

This paper cites MirrorGaussian: Reflecting 3D Gaussians for Reconstructing Mirror Reflections.

NeRFs are Mirror Detectors: Using Structural Similarity for Multi-View Mirror Scene Reconstruction with 3D Surface Primitives MirrorGaussian: Reflecting 3D Gaussians for Reconstructing Mirror Reflections

Reference 50

Resolution
verified exact
local_arxiv, observed 2026-08-10T21:44:42.073945Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T21:44:40.943373Z digest=sha256:d09694a3f9a4203351411f74ad6937f4d5021f86369e8e981bb850e223b2a8b8

Observation 0a4b6eb5-0f1f-44b6-b175-903bdb09cc9d · outbound

This paper cites Neural actor: Neural free-view synthesis of human actors with pose con- trol.

NeRFs are Mirror Detectors: Using Structural Similarity for Multi-View Mirror Scene Reconstruction with 3D Surface Primitives Neural actor: Neural free-view synthesis of human actors with pose con- trol

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:44:44.121997Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T21:44:40.953617Z digest=sha256:8faab623abfdc290f50a1b7502ed40e2a32959d526383b0928f82f216a9e5a00

Observation 3b2ec35d-4d3f-4a4a-bccb-2cb33abd47d6 · outbound

This paper cites Least squares quantization in pcm.

NeRFs are Mirror Detectors: Using Structural Similarity for Multi-View Mirror Scene Reconstruction with 3D Surface Primitives Least squares quantization in pcm

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:44:44.083516Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T21:44:40.959674Z digest=sha256:7ebab351e1929ac3dde46759b81ffff8fef6a0dae6663ce23ef023f28d7f9698

Observation 19692df7-2cb2-4960-8897-2609df9a3d97 · outbound

This paper cites Neural volumes: learning dynamic renderable volumes from im- ages.

NeRFs are Mirror Detectors: Using Structural Similarity for Multi-View Mirror Scene Reconstruction with 3D Surface Primitives Neural volumes: learning dynamic renderable volumes from im- ages

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:44:44.053075Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T21:44:40.974323Z digest=sha256:84984ac50216e99b8548ff9599f6ee2d7608f2f0ad2935b01acf0a637d9cef60

Observation 81b7a2fb-d4cc-4253-815b-1d658bb9348f · outbound

This paper cites SpecNeRF: Gaussian Directional Encoding for Specular Reflections.

NeRFs are Mirror Detectors: Using Structural Similarity for Multi-View Mirror Scene Reconstruction with 3D Surface Primitives SpecNeRF: Gaussian Directional Encoding for Specular Reflections

Reference 54

Resolution
verified exact
local_arxiv, observed 2026-08-10T21:44:42.040215Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T21:44:40.985612Z digest=sha256:8a1648f71213ebd91ae814b0f6334b70a5ef7e3bf871b25680b661b3f6639953

Observation f0435b7b-8053-40c0-93b7-8c1ae2f7f8a3 · outbound

This paper cites Loc-NeRF: Monte carlo localiza- tion using neural radiance fields.

NeRFs are Mirror Detectors: Using Structural Similarity for Multi-View Mirror Scene Reconstruction with 3D Surface Primitives Loc-NeRF: Monte carlo localiza- tion using neural radiance fields

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:44:44.030245Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T21:44:40.994524Z digest=sha256:55b7568f904d3ad58238e6bd5aad4770446ca047349759349b9ad3368ddf29ab

Observation 2bc2a009-e41b-40f6-808f-47e12183db70 · outbound

This paper cites Neural microfacet fields for inverse ren- dering.

NeRFs are Mirror Detectors: Using Structural Similarity for Multi-View Mirror Scene Reconstruction with 3D Surface Primitives Neural microfacet fields for inverse ren- dering

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:44:44.006030Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T21:44:41.002435Z digest=sha256:f7b9f2d89f5affde9b7134df177fbd358591c71a20035a2b011eba28b02417d9

Observation f1c08266-9817-4038-914c-92167235cae0 · outbound

This paper cites Nerf in the wild: Neural radiance fields for un- constrained photo collections.

NeRFs are Mirror Detectors: Using Structural Similarity for Multi-View Mirror Scene Reconstruction with 3D Surface Primitives Nerf in the wild: Neural radiance fields for un- constrained photo collections

Reference 57

Resolution
unresolved
no resolver link, observed 2026-08-10T21:44:41.016516Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:44:41.016516Z digest=sha256:3e33616b4564a487b5c78260eb3b750a9528e2743ee4fa134ea13ec2fb6dce64

Observation cde36bb8-4680-4735-80fc-9c374f9dfa9f · outbound

This paper cites Optical models for direct volume rendering.

NeRFs are Mirror Detectors: Using Structural Similarity for Multi-View Mirror Scene Reconstruction with 3D Surface Primitives Optical models for direct volume rendering

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:44:43.952194Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T21:44:41.024185Z digest=sha256:c4287d89249e30dadc47ba3df7baf1518f9132d20510d8b7c2ea61c9a7870c88

Observation b767ba59-cd12-45bc-b2d5-96198f9287f5 · outbound

This paper cites Mirror-3DGS: Incorporating Mirror Reflections into 3D Gaussian Splatting.

NeRFs are Mirror Detectors: Using Structural Similarity for Multi-View Mirror Scene Reconstruction with 3D Surface Primitives Mirror-3DGS: Incorporating Mirror Reflections into 3D Gaussian Splatting

Reference 59

Resolution
unresolved
no resolver link, observed 2026-08-10T21:44:41.034227Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:44:41.034227Z digest=sha256:c732fedbb1dd4f0ecbebddda20837d01a66df2f4f93b388a43eeaad793acb525

Observation ff732e98-dbd3-439d-9c30-db771b1202c6 · outbound

This paper cites GNeRF: GAN-based neural radiance field without posed camera.

NeRFs are Mirror Detectors: Using Structural Similarity for Multi-View Mirror Scene Reconstruction with 3D Surface Primitives GNeRF: GAN-based neural radiance field without posed camera

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:44:43.924949Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T21:44:41.044675Z digest=sha256:5fb980e44258e56c0588204efb6dd6b6bf14e5ab3fd37b0789095821a5983ff8

Observation 565167b5-b7db-4f23-b205-8986df671155 · outbound

This paper cites Switch-NeRF: Learning scene decomposition with mixture of experts for large-scale neu- ral radiance fields.

NeRFs are Mirror Detectors: Using Structural Similarity for Multi-View Mirror Scene Reconstruction with 3D Surface Primitives Switch-NeRF: Learning scene decomposition with mixture of experts for large-scale neu- ral radiance fields

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:44:43.895555Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T21:44:41.063204Z digest=sha256:525aa2f70d34b47d82a35dc33619fceda9fec72bcf192d37bb8cc13bc9897af1

Observation 2b693401-e443-4b4e-a9b5-603bdebe7e21 · outbound

This paper cites Nerf in the dark: High dynamic range view synthesis from noisy raw images.

NeRFs are Mirror Detectors: Using Structural Similarity for Multi-View Mirror Scene Reconstruction with 3D Surface Primitives Nerf in the dark: High dynamic range view synthesis from noisy raw images

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:44:43.843980Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T21:44:41.071944Z digest=sha256:ad8c0fce0a4e98ef5384eb4bab83c85bf9120d54d4db2a2bf88d0866bf0dffad

Observation dd6b7fdb-7a36-4cf9-9cc4-16f0e7c4c649 · outbound

This paper cites Srinivasan, Matthew Tancik, Jonathan T.

NeRFs are Mirror Detectors: Using Structural Similarity for Multi-View Mirror Scene Reconstruction with 3D Surface Primitives Srinivasan, Matthew Tancik, Jonathan T

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:44:43.812368Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T21:44:41.094322Z digest=sha256:05a8023846bc450501da6ce6f02ed73d0a00b47d53fd1377f19e549b7a6e577f

Observation 2a2e299f-3eef-42d5-9bf5-9a1a43734d24 · outbound

This paper cites Hardware acceleration of neural graphics.

NeRFs are Mirror Detectors: Using Structural Similarity for Multi-View Mirror Scene Reconstruction with 3D Surface Primitives Hardware acceleration of neural graphics

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:44:43.766379Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T21:44:41.103287Z digest=sha256:f0aec504b7ed05c59875b109d9b26ff87e9bd0c9378232088c683b328bb9f2a5

Observation c2799083-dcba-4292-b995-3e0cea82b3f9 · outbound

This paper cites Instant neural graphics primitives with a multiresolution hash encoding.

NeRFs are Mirror Detectors: Using Structural Similarity for Multi-View Mirror Scene Reconstruction with 3D Surface Primitives Instant neural graphics primitives with a multiresolution hash encoding

Reference 65

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:44:43.739900Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T21:44:41.111108Z digest=sha256:12758d38dd86bca4517a4d7b94c389b0af86afe449c0e5f5c80f64996e0f586b

Observation 52ecd110-36f5-4e80-bef3-5d0761d94b4d · outbound

This paper cites Extracting triangular 3d models, materials, and lighting from images.

NeRFs are Mirror Detectors: Using Structural Similarity for Multi-View Mirror Scene Reconstruction with 3D Surface Primitives Extracting triangular 3d models, materials, and lighting from images

Reference 66

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:44:43.711666Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T21:44:41.124082Z digest=sha256:c1d0b544e7081f1b3aaab4b5d0f903c0ac97df919030cadc25ec1f75f9144cc1

Observation 0add1421-df8d-4afa-ae28-3d0f47810bbd · outbound

This paper cites Giraffe: Repre- senting scenes as compositional generative neural feature fields.

NeRFs are Mirror Detectors: Using Structural Similarity for Multi-View Mirror Scene Reconstruction with 3D Surface Primitives Giraffe: Repre- senting scenes as compositional generative neural feature fields

Reference 67

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:44:43.682138Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T21:44:41.134228Z digest=sha256:525d9a61b9c5ccf4288ee6034bccd50234097c01c6e725c85dc81fa021df51fc

Observation 34ff2b8a-cffa-4627-87a4-c9d2ad39c80e · outbound

This paper cites Differentiable volumetric rendering: Learning implicit 3d representations without 3d supervi- sion.

NeRFs are Mirror Detectors: Using Structural Similarity for Multi-View Mirror Scene Reconstruction with 3D Surface Primitives Differentiable volumetric rendering: Learning implicit 3d representations without 3d supervi- sion

Reference 68

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:44:43.654593Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T21:44:41.148068Z digest=sha256:65544cbfd3d43619de08f37301b616b6be551f6f12faba72be4afdb7952aa9ab

Observation e85c49b3-1f56-4d90-b648-6e6d6644be78 · outbound

This paper cites Neural articulated radiance field.

NeRFs are Mirror Detectors: Using Structural Similarity for Multi-View Mirror Scene Reconstruction with 3D Surface Primitives Neural articulated radiance field

Reference 69

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:44:43.626785Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T21:44:41.166340Z digest=sha256:930eb1502c85975be6b7da0552edefc1219679c15ef414f002d2136c2ca33332

Observation f5137a4e-4a07-436a-9747-6cc9d08b5b99 · outbound

This paper cites Nerfies: Deformable neural radiance fields.

NeRFs are Mirror Detectors: Using Structural Similarity for Multi-View Mirror Scene Reconstruction with 3D Surface Primitives Nerfies: Deformable neural radiance fields

Reference 70

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:44:43.598643Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T21:44:41.186158Z digest=sha256:f417246b1e471ea3b7a8ed58f577dfb5d21dddb0dbd2076f4848180a96bef6de

Observation 6dff0730-453a-429b-95ab-66499f857352 · outbound

This paper cites HyperNeRF: A higher- dimensional representation for topologically varying neural radiance fields.

NeRFs are Mirror Detectors: Using Structural Similarity for Multi-View Mirror Scene Reconstruction with 3D Surface Primitives HyperNeRF: A higher- dimensional representation for topologically varying neural radiance fields

Reference 71

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:44:43.567755Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T21:44:41.199922Z digest=sha256:81ef2aebbbe162859c2cc0b398646ab6382ce004ab943e57912af4bf738f6e13

Observation 60064c52-84b8-448b-90f8-1ccb7c97dcf7 · outbound

This paper cites An- imatable neural radiance fields for modeling dynamic hu- man bodies.

NeRFs are Mirror Detectors: Using Structural Similarity for Multi-View Mirror Scene Reconstruction with 3D Surface Primitives An- imatable neural radiance fields for modeling dynamic hu- man bodies

Reference 72

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:44:43.544886Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T21:44:41.212853Z digest=sha256:4fabae09f6e71b634ea61b0ad91722fe622c6d9840d1a5710609ef2796ec8112

Observation 31f48b30-8793-4ae7-8393-af48129db88e · outbound

This paper cites Neural body: Implicit neural representations with structured latent codes for novel view synthesis of dynamic humans.

NeRFs are Mirror Detectors: Using Structural Similarity for Multi-View Mirror Scene Reconstruction with 3D Surface Primitives Neural body: Implicit neural representations with structured latent codes for novel view synthesis of dynamic humans

Reference 73

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:44:43.519607Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T21:44:41.219556Z digest=sha256:9c7626972e00c5a1dfe3c27c160b4f0edd92f85f3b03b5ce70397d2e9cd277dd

Observation 526ea42a-4866-4bc4-95bc-d36387c508a9 · outbound

This paper cites D-NeRF: Neural radiance fields for dynamic scenes.

NeRFs are Mirror Detectors: Using Structural Similarity for Multi-View Mirror Scene Reconstruction with 3D Surface Primitives D-NeRF: Neural radiance fields for dynamic scenes

Reference 74

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:44:43.491275Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T21:44:41.233826Z digest=sha256:10ff23c1ce2361343911f4378e1b6b40ffd628e051243be96d645915dd110dfa

Observation 30b09b7e-af15-4ddc-98f3-749f8035bc27 · outbound

This paper cites Saragih, Shunsuke Saito, James Hays, and Stephen Lom- bardi.

NeRFs are Mirror Detectors: Using Structural Similarity for Multi-View Mirror Scene Reconstruction with 3D Surface Primitives Saragih, Shunsuke Saito, James Hays, and Stephen Lom- bardi

Reference 75

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:44:43.471370Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T21:44:41.244457Z digest=sha256:81f456d124df732efa43e35ed0eb0177d52660cf4f618fbdce893ca72fe4c901

Observation 9c21d7e3-2262-421b-91b5-6211bf3e49f6 · outbound

This paper cites Kilonerf: Speeding up neural radiance fields with thousands of tiny mlps.

NeRFs are Mirror Detectors: Using Structural Similarity for Multi-View Mirror Scene Reconstruction with 3D Surface Primitives Kilonerf: Speeding up neural radiance fields with thousands of tiny mlps

Reference 76

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:44:43.444607Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T21:44:41.254551Z digest=sha256:c85d8b915339581710458c29d6b738bf3218e6b144e5428c563b07d4aede155d

Observation 04bea997-3ade-4a1b-aded-0546e2db0bf5 · outbound

This paper cites Urban radiance fields.

NeRFs are Mirror Detectors: Using Structural Similarity for Multi-View Mirror Scene Reconstruction with 3D Surface Primitives Urban radiance fields

Reference 77

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:44:43.415074Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T21:44:41.267443Z digest=sha256:1f93881c795f843a3d67c5b2aada0a9da758d47abc539b56d70b5d9dad034daf

Observation f083e143-edc4-432d-954a-2e7019021f3a · outbound

This paper cites Dense depth priors for neural radiance fields from sparse input views.

NeRFs are Mirror Detectors: Using Structural Similarity for Multi-View Mirror Scene Reconstruction with 3D Surface Primitives Dense depth priors for neural radiance fields from sparse input views

Reference 78

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:44:43.388129Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T21:44:41.277026Z digest=sha256:7db5aa39751e2b32ab4f7b5c9747b61a08cd4029b91453d0ae127c09851e89aa

Observation d9cdba48-7d5a-4415-97e8-965befb7a008 · outbound

This paper cites NeRF-SLAM: Real-Time Dense Monocular SLAM with Neural Radiance Fields.

NeRFs are Mirror Detectors: Using Structural Similarity for Multi-View Mirror Scene Reconstruction with 3D Surface Primitives NeRF-SLAM: Real-Time Dense Monocular SLAM with Neural Radiance Fields

Reference 79

Resolution
unresolved
no resolver link, observed 2026-08-10T21:44:41.282753Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:44:41.282753Z digest=sha256:c896670dcaf5bbea78746e9153d81a48b2e31af9f36026f7d43e4172892a9f11

Observation 9b4820aa-8b06-4014-a80d-03587028b8b1 · outbound

This paper cites Schnabel, R.

NeRFs are Mirror Detectors: Using Structural Similarity for Multi-View Mirror Scene Reconstruction with 3D Surface Primitives Schnabel, R

Reference 80

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:44:43.346401Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T21:44:41.288970Z digest=sha256:aa811fe457c328f43eb47312ed34a594e99dbdfb5b170b08831ffb094eb34878

Observation a78e15eb-8c7d-4e4a-810b-5fa4a0adfc13 · outbound

This paper cites Scene representation networks: Continuous 3d- structure-aware neural scene representations.

NeRFs are Mirror Detectors: Using Structural Similarity for Multi-View Mirror Scene Reconstruction with 3D Surface Primitives Scene representation networks: Continuous 3d- structure-aware neural scene representations

Reference 81

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:44:43.310551Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T21:44:41.298221Z digest=sha256:4b01c55da6b6d68a358caab937457ea1cc5d2bedac4f5044533207e5d2470a6d

Observation 1a15ae57-8f8d-4cf1-886f-b4d985b3d488 · outbound

This paper cites Nerv: Neural reflectance and visibility fields for relighting and view synthesis.

NeRFs are Mirror Detectors: Using Structural Similarity for Multi-View Mirror Scene Reconstruction with 3D Surface Primitives Nerv: Neural reflectance and visibility fields for relighting and view synthesis

Reference 82

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:44:43.281517Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T21:44:41.306127Z digest=sha256:b06c7d6bec7bb012101f473561238ed54233881f09e58a2dadc0539da6d28731

Observation 332f077d-9225-44ac-9dac-aab7ccc8ad9a · outbound

This paper cites iMAP: Implicit mapping and positioning in real-time.

NeRFs are Mirror Detectors: Using Structural Similarity for Multi-View Mirror Scene Reconstruction with 3D Surface Primitives iMAP: Implicit mapping and positioning in real-time

Reference 83

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:44:43.248346Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T21:44:41.314272Z digest=sha256:dc644897afefd77fbc390d6753336892ab052a3e40c81b76984c6c312953940e

Observation b788787f-2700-4db3-add9-2ce952ccd5a0 · outbound

This paper cites Direct voxel grid optimization: Super-fast convergence for radi- ance fields reconstruction.

NeRFs are Mirror Detectors: Using Structural Similarity for Multi-View Mirror Scene Reconstruction with 3D Surface Primitives Direct voxel grid optimization: Super-fast convergence for radi- ance fields reconstruction

Reference 84

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:44:43.210606Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T21:44:41.320403Z digest=sha256:19b1612d8cad56edd0c1e22d388a0c4621a5ae7145ae2827c119ef221b924616

Observation ca518776-4778-47b7-b0be-f4e479b7f000 · outbound

This paper cites NeRF-Loc: Transformer-based object localization within neural radiance fields.

NeRFs are Mirror Detectors: Using Structural Similarity for Multi-View Mirror Scene Reconstruction with 3D Surface Primitives NeRF-Loc: Transformer-based object localization within neural radiance fields

Reference 85

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:44:43.163889Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T21:44:41.326223Z digest=sha256:63c6b821a78d6b7e3d42dab541ddcfd84d1f2b940db389e0177d26b8cead3ab5

Observation 0e7d8c59-0806-40cf-a3ca-f1dce2828a2f · outbound

This paper cites Variable bitrate neural fields.

NeRFs are Mirror Detectors: Using Structural Similarity for Multi-View Mirror Scene Reconstruction with 3D Surface Primitives Variable bitrate neural fields

Reference 86

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:44:43.136090Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T21:44:41.334006Z digest=sha256:4ca66ecf9eadc5bfd4517b9cc13b3588dd97c323e4b00a6e1f8e3adedd05795b

Observation e7416569-0751-46c0-914c-f513535ffab8 · outbound

This paper cites Block-NeRF: Scalable large scene neural view synthesis.

NeRFs are Mirror Detectors: Using Structural Similarity for Multi-View Mirror Scene Reconstruction with 3D Surface Primitives Block-NeRF: Scalable large scene neural view synthesis

Reference 87

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:44:43.112180Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T21:44:41.340199Z digest=sha256:af2f1096b2cbbd25d39b88e51d56550830a95cb9dd0d24893dcfa2ad4253df01

Observation 15a18195-9aa5-436f-aea9-f883a2ea020b · outbound

This paper cites Mildenhall, Pratul P.

NeRFs are Mirror Detectors: Using Structural Similarity for Multi-View Mirror Scene Reconstruction with 3D Surface Primitives Mildenhall, Pratul P

Reference 88

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:44:43.072051Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T21:44:41.347270Z digest=sha256:dfd0a0ddc00d6348ffb24c45ec1fca2666b54087975cf36314a7b68ef7ca4561

Observation e93cf9aa-70d9-48e6-ac56-2bd0b70c6457 · outbound

This paper cites State of the art on neural rendering.

NeRFs are Mirror Detectors: Using Structural Similarity for Multi-View Mirror Scene Reconstruction with 3D Surface Primitives State of the art on neural rendering

Reference 89

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:44:43.036710Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T21:44:41.354653Z digest=sha256:3cf9b590a2dd4aa01abe086352ed978cd74634f8265979062ea843527d8e3295

Observation 4c0ee0f7-27b7-4be1-bac9-67aa669db19e · outbound

This paper cites Ad- vances in neural rendering.

NeRFs are Mirror Detectors: Using Structural Similarity for Multi-View Mirror Scene Reconstruction with 3D Surface Primitives Ad- vances in neural rendering

Reference 90

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:44:42.966856Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T21:44:41.376412Z digest=sha256:5fb6df2e28ce6b5147682b6d79e56b2df286c6e1c0fe9479d150cb210d24562b

Observation 27d7243e-b52b-4469-a773-8822889ed468 · outbound

This paper cites Non-rigid neural radiance fields: Reconstruction and novel view synthesis of a dynamic scene from monoc- ular video.

NeRFs are Mirror Detectors: Using Structural Similarity for Multi-View Mirror Scene Reconstruction with 3D Surface Primitives Non-rigid neural radiance fields: Reconstruction and novel view synthesis of a dynamic scene from monoc- ular video

Reference 91

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:44:42.910904Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T21:44:41.389694Z digest=sha256:c69af30fba304d163eeba08c6ba6d439cc1e3f8bb53adceb392c88787dfb6e0b

Observation efe90844-7339-42cd-92fb-ffa36163ed93 · outbound

This paper cites Sparf: Neural radiance fields from sparse and noisy poses.

NeRFs are Mirror Detectors: Using Structural Similarity for Multi-View Mirror Scene Reconstruction with 3D Surface Primitives Sparf: Neural radiance fields from sparse and noisy poses

Reference 92

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:44:42.878046Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T21:44:41.395730Z digest=sha256:cffcd7a0c9990723056439d17b320545b2378002691a27afce80c905719ae5a5

Observation 20cee1b4-a3da-47fd-9d7c-eab87def8a35 · outbound

This paper cites CLA-NeRF: Category-Level Articulated Neural Radiance Field.

NeRFs are Mirror Detectors: Using Structural Similarity for Multi-View Mirror Scene Reconstruction with 3D Surface Primitives CLA-NeRF: Category-Level Articulated Neural Radiance Field

Reference 93

Resolution
verified exact
local_arxiv, observed 2026-08-10T21:44:41.954977Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T21:44:41.400180Z digest=sha256:e39379b0328ea18c1d46ce563b03c7c43f3886c3db114f883755df4ad82a9a97

Observation f26c67c1-f16d-4045-b184-b37d2c41f8e6 · outbound

This paper cites Mega-NeRF: Scalable construction of large- scale NeRFs for virtual fly-throughs.

NeRFs are Mirror Detectors: Using Structural Similarity for Multi-View Mirror Scene Reconstruction with 3D Surface Primitives Mega-NeRF: Scalable construction of large- scale NeRFs for virtual fly-throughs

Reference 94

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:44:42.832473Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T21:44:41.405332Z digest=sha256:7660d73d3fc62d13ee72cfa7cf9c71dc1f72d1db587664393af28502519fa35a

Observation 22be36ba-8e58-42c1-a980-363e1d1e8800 · outbound

This paper cites Ref-NeRF: Structured view-dependent appearance for neural radiance fields.

NeRFs are Mirror Detectors: Using Structural Similarity for Multi-View Mirror Scene Reconstruction with 3D Surface Primitives Ref-NeRF: Structured view-dependent appearance for neural radiance fields

Reference 95

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:44:42.807490Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T21:44:41.410624Z digest=sha256:3dc988a44efe2fb4a4ee18e823709ba695864f8ce80d239df4446d5e2b3eeae4

Observation d471920c-ec88-4995-af31-98d1b025bacd · outbound

This paper cites NeRF-Casting: Improved View-Dependent Appearance with Consistent Reflections.

NeRFs are Mirror Detectors: Using Structural Similarity for Multi-View Mirror Scene Reconstruction with 3D Surface Primitives NeRF-Casting: Improved View-Dependent Appearance with Consistent Reflections

Reference 96

Resolution
unresolved
no resolver link, observed 2026-08-10T21:44:41.416257Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:44:41.416257Z digest=sha256:9bdcb4898d4af89ce83111a067cc220b4f5c7eeee9647e9c13c07162e320d48e

Observation c3467e7a-cc75-4fc8-902b-102d4fcec3c7 · outbound

This paper cites Nerf-sr: High quality neural radiance fields using supersampling.

NeRFs are Mirror Detectors: Using Structural Similarity for Multi-View Mirror Scene Reconstruction with 3D Surface Primitives Nerf-sr: High quality neural radiance fields using supersampling

Reference 97

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:44:42.767082Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T21:44:41.424096Z digest=sha256:7f5c40e06e3259de3caa206f9c5dacef827128b09417cf40e88e509899b562ff

Observation e351ca00-e494-47c4-8351-6c4902e21a0d · outbound

This paper cites R2l: Distilling neural radiance field to neural light field for efficient novel view synthesis.

NeRFs are Mirror Detectors: Using Structural Similarity for Multi-View Mirror Scene Reconstruction with 3D Surface Primitives R2l: Distilling neural radiance field to neural light field for efficient novel view synthesis

Reference 98

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:44:42.743405Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T21:44:41.431653Z digest=sha256:111088e38f59ec12abad93efd0e696c554854638b8d5a28089253ea690505211

Observation 74eacfe4-2737-45a6-b20c-cd750987a852 · outbound

This paper cites Neus: Learning neural implicit surfaces by volume rendering for multi-view recon- struction.

NeRFs are Mirror Detectors: Using Structural Similarity for Multi-View Mirror Scene Reconstruction with 3D Surface Primitives Neus: Learning neural implicit surfaces by volume rendering for multi-view recon- struction

Reference 99

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:44:42.718270Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T21:44:41.437162Z digest=sha256:4685edf1cf5d63cd272b82f2327e9b93d8ea5dae71fb317ccd03f6c84015a623

Observation 10fba3eb-a1ad-48ea-a92b-2a10b282c5f8 · outbound

This paper cites Neus2: Fast learning of neural implicit surfaces for multi-view recon- struction.

NeRFs are Mirror Detectors: Using Structural Similarity for Multi-View Mirror Scene Reconstruction with 3D Surface Primitives Neus2: Fast learning of neural implicit surfaces for multi-view recon- struction

Reference 100

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:44:42.684302Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T21:44:41.443320Z digest=sha256:e411c3c9a6e9f6002f728ac2dad6df08392abb8266ac5c231f892c5eb9d386f3

Pith citing papers

No inbound Pith citation observations are available.