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

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

Resolution: unresolved; no resolver link, observed 2026-08-10T21:44:40.576900Z

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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

Resolution: unresolved; no resolver link, observed 2026-08-10T21:44:40.585808Z

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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

Resolution: unresolved; no resolver link, observed 2026-08-10T21:44:40.593705Z

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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

Resolution: unresolved; no resolver link, observed 2026-08-10T21:44:40.600026Z

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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

Resolution: unresolved; no resolver link, observed 2026-08-10T21:44:40.606098Z

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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

Resolution: unresolved; no resolver link, observed 2026-08-10T21:44:40.615032Z

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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

Resolution: unresolved; no resolver link, observed 2026-08-10T21:44:40.622121Z

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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

Resolution: unresolved; no resolver link, observed 2026-08-10T21:44:40.627567Z

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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

Resolution: unresolved; no resolver link, observed 2026-08-10T21:44:40.633662Z

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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

Resolution: unresolved; no resolver link, observed 2026-08-10T21:44:40.640309Z

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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

Resolution: unresolved; no resolver link, observed 2026-08-10T21:44:40.645897Z

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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

Resolution: unresolved; no resolver link, observed 2026-08-10T21:44:40.655687Z

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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

Resolution: unresolved; no resolver link, observed 2026-08-10T21:44:40.663693Z

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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

Resolution: unresolved; no resolver link, observed 2026-08-10T21:44:40.669748Z

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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

Resolution: unresolved; no resolver link, observed 2026-08-10T21:44:40.678059Z

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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

Resolution: unresolved; no resolver link, observed 2026-08-10T21:44:40.689853Z

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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

Resolution: unresolved; no resolver link, observed 2026-08-10T21:44:40.697380Z

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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

Resolution: unresolved; no resolver link, observed 2026-08-10T21:44:40.705600Z

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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

Resolution: unresolved; no resolver link, observed 2026-08-10T21:44:40.713160Z

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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

Resolution: unresolved; no resolver link, observed 2026-08-10T21:44:40.722461Z

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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

Resolution: unresolved; no resolver link, observed 2026-08-10T21:44:40.728796Z

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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

Resolution: unresolved; no resolver link, observed 2026-08-10T21:44:40.735971Z

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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

Resolution: unresolved; no resolver link, observed 2026-08-10T21:44:40.742592Z

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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

Resolution: unresolved; no resolver link, observed 2026-08-10T21:44:40.750184Z

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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

Resolution: unresolved; no resolver link, observed 2026-08-10T21:44:40.758016Z

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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

Resolution: unresolved; no resolver link, observed 2026-08-10T21:44:40.766182Z

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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

Resolution: unresolved; no resolver link, observed 2026-08-10T21:44:40.774038Z

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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

Resolution: unresolved; no resolver link, observed 2026-08-10T21:44:40.783270Z

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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

Resolution: unresolved; no resolver link, observed 2026-08-10T21:44:40.796419Z

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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

Resolution: unresolved; no resolver link, observed 2026-08-10T21:44:40.804007Z

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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

Resolution: unresolved; no resolver link, observed 2026-08-10T21:44:40.813118Z

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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

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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 2026-08-14T06:32:32.682623+00:00.

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 2026-08-14T06:32:32.682623+00:00.

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 2026-08-14T06:32:32.682623+00:00.

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 2026-08-14T06:32:32.682623+00:00.

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.

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 2026-08-14T06:32:32.682623+00:00.

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.

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 2026-08-14T06:32:32.682623+00:00.

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 2026-08-14T06:32:32.682623+00:00.

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 2026-08-14T06:32:32.682623+00:00.

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 2026-08-14T06:32:32.682623+00:00.

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 2026-08-14T06:32:32.682623+00:00.

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 2026-08-14T06:32:32.682623+00:00.

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 2026-08-14T06:32:32.682623+00:00.

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 2026-08-14T06:32:32.682623+00:00.

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 2026-08-14T06:32:32.682623+00:00.

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 2026-08-14T06:32:32.682623+00:00.

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 2026-08-14T06:32:32.682623+00:00.

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 2026-08-14T06:32:32.682623+00:00.

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 2026-08-14T06:32:32.682623+00:00.

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 2026-08-14T06:32:32.682623+00:00.

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 2026-08-14T06:32:32.682623+00:00.

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 2026-08-14T06:32:32.682623+00:00.

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 2026-08-14T06:32:32.682623+00:00.

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 2026-08-14T06:32:32.682623+00:00.

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 2026-08-14T06:32:32.682623+00:00.

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.

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 2026-08-14T06:32:32.682623+00:00.

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 2026-08-14T06:32:32.682623+00:00.

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 2026-08-14T06:32:32.682623+00:00.

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 2026-08-14T06:32:32.682623+00:00.

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 2026-08-14T06:32:32.682623+00:00.

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 2026-08-14T06:32:32.682623+00:00.

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 2026-08-14T06:32:32.682623+00:00.

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 2026-08-14T06:32:32.682623+00:00.

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 2026-08-14T06:32:32.682623+00:00.

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 2026-08-14T06:32:32.682623+00:00.

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 2026-08-14T06:32:32.682623+00:00.

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 2026-08-14T06:32:32.682623+00:00.

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 2026-08-14T06:32:32.682623+00:00.

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 2026-08-14T06:32:32.682623+00:00.

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 2026-08-14T06:32:32.682623+00:00.

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 2026-08-14T06:32:32.682623+00:00.

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.

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 2026-08-14T06:32:32.682623+00:00.

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 2026-08-14T06:32:32.682623+00:00.

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 2026-08-14T06:32:32.682623+00:00.

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 2026-08-14T06:32:32.682623+00:00.

Coverage vector

Reference resolution

Outbound references

Pith citing papers