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Paper Citation Record · LEDGER

HybridMQA: Exploring Geometry-Texture Interactions for Colored Mesh Quality Assessment

As of 15 August 2026, this Paper Citation Record lists 58 of 58 outbound references and 0 inbound Pith citation observations for arXiv:2412.01986.

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

pith.paper-citation-record.v1
2412.01986 v2

Coverage vector

measured 58 of 58 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T00:04:55.317051Z

measured 58 of 58 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+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

58 of 58 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation a392fa25-053c-44ff-938f-bbf0af8c98fc · outbound

This paper cites A blind mesh visual quality assessment method based on convolutional neural network.

HybridMQA: Exploring Geometry-Texture Interactions for Colored Mesh Quality Assessment A blind mesh visual quality assessment method based on convolutional neural network

Reference 1

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Observation a85eb9f8-aa5f-40f7-8714-82299c475124 · outbound

This paper cites No-reference mesh visual quality assessment via ensemble of convolu- tional neural networks and compact multi-linear pooling.

HybridMQA: Exploring Geometry-Texture Interactions for Colored Mesh Quality Assessment No-reference mesh visual quality assessment via ensemble of convolu- tional neural networks and compact multi-linear pooling

Reference 2

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Observation 0f25dd6f-b167-472b-a1bb-da558be7d964 · outbound

This paper cites Chapter 1 - introduction to immersive video tech- nologies.

HybridMQA: Exploring Geometry-Texture Interactions for Colored Mesh Quality Assessment Chapter 1 - introduction to immersive video tech- nologies

Reference 3

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Observation 92f7a0cd-1b43-4aa0-9424-f9bf35200d24 · outbound

This paper cites Mesh: measuring errors between surfaces using the haus- dorff distance.

HybridMQA: Exploring Geometry-Texture Interactions for Colored Mesh Quality Assessment Mesh: measuring errors between surfaces using the haus- dorff distance

Reference 4

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Observation fc91f612-f1ce-40a3-8d94-4d32b93ad01e · outbound

This paper cites Metro: Measuring error on simplified surfaces.

HybridMQA: Exploring Geometry-Texture Interactions for Colored Mesh Quality Assessment Metro: Measuring error on simplified surfaces

Reference 5

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Observation 4dcf3038-e5a8-458c-842e-59e330a00ca5 · outbound

This paper cites Measuring 3d video quality of experience (qoe) using a hybrid metric based on spatial reso- lution and depth cues.

HybridMQA: Exploring Geometry-Texture Interactions for Colored Mesh Quality Assessment Measuring 3d video quality of experience (qoe) using a hybrid metric based on spatial reso- lution and depth cues

Reference 6

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Source-reported events for the cited work

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Observation f074f18e-23df-4213-ba62-0712509b299f · outbound

This paper cites Sjtu-tmqa: A quality assessment database for static mesh with texture map.

HybridMQA: Exploring Geometry-Texture Interactions for Colored Mesh Quality Assessment Sjtu-tmqa: A quality assessment database for static mesh with texture map

Reference 7

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Source-reported events for the cited work

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Observation d67b74d9-4fd9-4906-8d05-9c762caa8553 · outbound

This paper cites Imagenet: A large-scale hierarchical image database.

HybridMQA: Exploring Geometry-Texture Interactions for Colored Mesh Quality Assessment Imagenet: A large-scale hierarchical image database

Reference 8

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Source-reported events for the cited work

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Observation b19f4e8e-131c-4e3b-bc46-57f9f9cd9752 · outbound

This paper cites Surface-sampling based objective quality assessment metrics for meshes.

HybridMQA: Exploring Geometry-Texture Interactions for Colored Mesh Quality Assessment Surface-sampling based objective quality assessment metrics for meshes

Reference 9

Resolution
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Source-reported events for the cited work

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Observation c4142f6f-7901-43cc-addf-d3db9904ced6 · outbound

This paper cites Heckbert.

HybridMQA: Exploring Geometry-Texture Interactions for Colored Mesh Quality Assessment Heckbert

Reference 10

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Source-reported events for the cited work

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Observation 99c2aa2d-b65c-494a-b8a5-5fbe852614e2 · outbound

This paper cites Draco 3d data compression.

HybridMQA: Exploring Geometry-Texture Interactions for Colored Mesh Quality Assessment Draco 3d data compression

Reference 11

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Source-reported events for the cited work

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Observation 68dc976b-0ae0-4a49-9f54-7aa2c7c576f5 · outbound

This paper cites Final report from the video quality experts group on the validation of objective models of video quality assessment, phase II.

HybridMQA: Exploring Geometry-Texture Interactions for Colored Mesh Quality Assessment Final report from the video quality experts group on the validation of objective models of video quality assessment, phase II

Reference 12

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Source-reported events for the cited work

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Observation 3498999f-92a3-465f-8098-7153f75b1e70 · outbound

This paper cites Subjective and objective visual quality assessment of textured 3d meshes.ACM Trans.

HybridMQA: Exploring Geometry-Texture Interactions for Colored Mesh Quality Assessment Subjective and objective visual quality assessment of textured 3d meshes.ACM Trans

Reference 13

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Source-reported events for the cited work

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Observation 1726bf78-921e-41db-9f27-55ef1bdfab5d · outbound

This paper cites Deep residual learning for image recognition.

HybridMQA: Exploring Geometry-Texture Interactions for Colored Mesh Quality Assessment Deep residual learning for image recognition

Reference 14

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 6bb2b8a4-f4aa-47f5-abdd-ae75b379ef11 · outbound

This paper cites Adam: A method for stochastic optimization.

HybridMQA: Exploring Geometry-Texture Interactions for Colored Mesh Quality Assessment Adam: A method for stochastic optimization

Reference 15

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Source-reported events for the cited work

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Observation f0276b57-ac61-450f-9c16-54e1816c3a34 · outbound

This paper cites Imagenet classification with deep convolutional neural net- works.

HybridMQA: Exploring Geometry-Texture Interactions for Colored Mesh Quality Assessment Imagenet classification with deep convolutional neural net- works

Reference 16

Resolution
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Source-reported events for the cited work

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Observation 7885dc50-5221-4e7f-a209-507870b584f6 · outbound

This paper cites Samplenet: Dif- ferentiable point cloud sampling.

HybridMQA: Exploring Geometry-Texture Interactions for Colored Mesh Quality Assessment Samplenet: Dif- ferentiable point cloud sampling

Reference 17

Resolution
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Source-reported events for the cited work

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Observation 71f63420-f327-4e9f-ba52-f57a2448a65c · outbound

This paper cites Perceptually driven 3d distance metrics with application to watermarking.

HybridMQA: Exploring Geometry-Texture Interactions for Colored Mesh Quality Assessment Perceptually driven 3d distance metrics with application to watermarking

Reference 18

Resolution
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Source-reported events for the cited work

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Observation 5665b7c2-28ab-49bb-8f24-9bb4f74c31d9 · outbound

This paper cites A multiscale metric for 3d mesh visual quality assessment.

HybridMQA: Exploring Geometry-Texture Interactions for Colored Mesh Quality Assessment A multiscale metric for 3d mesh visual quality assessment

Reference 19

Resolution
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Source-reported events for the cited work

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

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Observation 3a798b1b-af09-4d13-a3a9-6c6d9a489dfa · outbound

This paper cites 3d-pssim: Projective structural simi- larity for 3d mesh quality assessment robust to topological irregularities.

HybridMQA: Exploring Geometry-Texture Interactions for Colored Mesh Quality Assessment 3d-pssim: Projective structural simi- larity for 3d mesh quality assessment robust to topological irregularities

Reference 20

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Source-reported events for the cited work

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Observation e46fcd77-078f-43ae-9c03-52aae8c2b8ea · outbound

This paper cites Chapter 22 - social virtual reality (vr) applications and user experiences.

HybridMQA: Exploring Geometry-Texture Interactions for Colored Mesh Quality Assessment Chapter 22 - social virtual reality (vr) applications and user experiences

Reference 21

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Source-reported events for the cited work

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Observation 950ddba5-25b7-4b3a-b18d-f24ac9205cc0 · outbound

This paper cites One-2-3-45: Any single image to 3d mesh in 45 seconds without per-shape optimiza- tion.

HybridMQA: Exploring Geometry-Texture Interactions for Colored Mesh Quality Assessment One-2-3-45: Any single image to 3d mesh in 45 seconds without per-shape optimiza- tion

Reference 22

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Source-reported events for the cited work

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Observation fca8e104-84f4-42fc-acc4-176becfef73d · outbound

This paper cites Swin transformer: Hierarchical vision transformer using shifted windows.

HybridMQA: Exploring Geometry-Texture Interactions for Colored Mesh Quality Assessment Swin transformer: Hierarchical vision transformer using shifted windows

Reference 23

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verified fuzzy
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Source-reported events for the cited work

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Observation a79539b4-dad6-4ab9-9de5-6faeec3be36a · outbound

This paper cites SGDR: Stochastic Gradient Descent with Warm Restarts.

HybridMQA: Exploring Geometry-Texture Interactions for Colored Mesh Quality Assessment SGDR: Stochastic Gradient Descent with Warm Restarts

Reference 24

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 3f1b6faf-b57c-4f65-b360-1c70d73311cb · outbound

This paper cites Group maximum differentiation competition: Model com- parison with few samples.

HybridMQA: Exploring Geometry-Texture Interactions for Colored Mesh Quality Assessment Group maximum differentiation competition: Model com- parison with few samples

Reference 25

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verified fuzzy
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Source-reported events for the cited work

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Observation 1c9adb9c-b9e7-4e66-9b7a-c1b561fd8917 · outbound

This paper cites 3d mesh compression: Survey, comparisons, and emerging trends.

HybridMQA: Exploring Geometry-Texture Interactions for Colored Mesh Quality Assessment 3d mesh compression: Survey, comparisons, and emerging trends

Reference 27

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verified fuzzy
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Source-reported events for the cited work

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

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Observation e5706126-e544-4eaf-b971-fbcbcc238fd7 · outbound

This paper cites Hamilton, Jan Eric Lenssen, Gaurav Rattan, and Martin Grohe.

HybridMQA: Exploring Geometry-Texture Interactions for Colored Mesh Quality Assessment Hamilton, Jan Eric Lenssen, Gaurav Rattan, and Martin Grohe

Reference 28

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verified fuzzy
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Source-reported events for the cited work

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Observation 286d31b4-b7ac-448d-af73-29a3fedc747d · outbound

This paper cites Textured mesh quality assessment: Large-scale dataset and deep learning-based quality metric.

HybridMQA: Exploring Geometry-Texture Interactions for Colored Mesh Quality Assessment Textured mesh quality assessment: Large-scale dataset and deep learning-based quality metric

Reference 29

Resolution
verified fuzzy
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Source-reported events for the cited work

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

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Observation dceaa116-3f4d-4349-963a-569af8985650 · outbound

This paper cites Visual quality of 3d meshes with diffuse colors in virtual reality: Subjective and objective evaluation.

HybridMQA: Exploring Geometry-Texture Interactions for Colored Mesh Quality Assessment Visual quality of 3d meshes with diffuse colors in virtual reality: Subjective and objective evaluation

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T00:04:55.659457Z

Source-reported events for the cited work

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

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Observation fed3304b-ead8-437a-9016-be79a5a3675b · outbound

This paper cites GeoScaler: Geometry and Rendering-Aware Downsampling of 3D Mesh Textures.

HybridMQA: Exploring Geometry-Texture Interactions for Colored Mesh Quality Assessment GeoScaler: Geometry and Rendering-Aware Downsampling of 3D Mesh Textures

Reference 31

Resolution
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Source-reported events for the cited work

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

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Observation f0341754-7e1f-4071-88ea-1ee5c6e77e5e · outbound

This paper cites Accelerating 3D Deep Learning with PyTorch3D.

HybridMQA: Exploring Geometry-Texture Interactions for Colored Mesh Quality Assessment Accelerating 3D Deep Learning with PyTorch3D

Reference 32

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation eadc8962-2940-4446-8c6b-8e0631eb9d01 · outbound

This paper cites Depth cues in human visual perception and their realization in 3d displays.

HybridMQA: Exploring Geometry-Texture Interactions for Colored Mesh Quality Assessment Depth cues in human visual perception and their realization in 3d displays

Reference 33

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verified fuzzy
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Source-reported events for the cited work

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

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Observation 187dd0e8-0c35-4da4-bc5c-f9572b0fd676 · outbound

This paper cites Per- ceptual crack detection for rendered 3d textured meshes.

HybridMQA: Exploring Geometry-Texture Interactions for Colored Mesh Quality Assessment Per- ceptual crack detection for rendered 3d textured meshes

Reference 34

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verified fuzzy
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Source-reported events for the cited work

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

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Observation 684fbc97-2e71-448f-8820-41be9fe0d461 · outbound

This paper cites Grad-cam: Visual explanations from deep networks via gradient-based localization.

HybridMQA: Exploring Geometry-Texture Interactions for Colored Mesh Quality Assessment Grad-cam: Visual explanations from deep networks via gradient-based localization

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-12T00:04:55.228061Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T00:04:55.228061Z digest=sha256:7c40b892ea3072575255eb2df556c4a18bf426b7a9f086bf4ae25d0d40feb780

Observation 90a435a2-6c35-4a31-941b-ac66e156d71f · outbound

This paper cites Sheikh and Alan C.

HybridMQA: Exploring Geometry-Texture Interactions for Colored Mesh Quality Assessment Sheikh and Alan C

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T00:04:55.619121Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-12T00:04:55.231461Z digest=sha256:f10173709ff06f2533c34ef7843a486eda71336520e84e37f0c67cd052db7675

Observation 676bd82b-e333-4417-ab7c-34f3c86e3032 · outbound

This paper cites Meta 3D AssetGen: Text-to-Mesh Generation with High-Quality Geometry, Texture, and PBR Materials.

HybridMQA: Exploring Geometry-Texture Interactions for Colored Mesh Quality Assessment Meta 3D AssetGen: Text-to-Mesh Generation with High-Quality Geometry, Texture, and PBR Materials

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-12T00:04:55.234682Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T00:04:55.234682Z digest=sha256:81dd3916442da464d877f776fbd3d1aa4f3206e1f8a2270db0033e66db01a514

Observation 509b80d2-48aa-4813-81f0-dc455fde8968 · outbound

This paper cites A deep learning based no-reference quality assessment model for ugc videos.

HybridMQA: Exploring Geometry-Texture Interactions for Colored Mesh Quality Assessment A deep learning based no-reference quality assessment model for ugc videos

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T00:04:55.609183Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-12T00:04:55.238684Z digest=sha256:091f0958a64d769541e3b6b776a5d9aee70ce5a127eca71ab61ba7672b13a0a1

Observation ee2277c8-e227-40ca-a642-66c45faa0d77 · outbound

This paper cites 3d modeling and com- puter graphics in virtual reality.

HybridMQA: Exploring Geometry-Texture Interactions for Colored Mesh Quality Assessment 3d modeling and com- puter graphics in virtual reality

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T00:04:55.598267Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-12T00:04:55.242676Z digest=sha256:f8f6e989f831ccc77121f6e215893bcd83de4375cf92f5204a95050c376a47e1

Observation 3c96f5fa-396a-48e8-b72e-f039e898956d · outbound

This paper cites Batex3: Bit allocation for progressive transmission of textured 3-d models.

HybridMQA: Exploring Geometry-Texture Interactions for Colored Mesh Quality Assessment Batex3: Bit allocation for progressive transmission of textured 3-d models

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T00:04:55.588274Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-12T00:04:55.246535Z digest=sha256:0f5baa4049aed43f20cc385e94536bbefb0c8bfd97370e03bab32c60baf794de

Observation 7cfac595-f8b9-4ed2-a27a-8a802eb7c52c · outbound

This paper cites A cur- vature tensor distance for mesh visual quality assessment.

HybridMQA: Exploring Geometry-Texture Interactions for Colored Mesh Quality Assessment A cur- vature tensor distance for mesh visual quality assessment

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T00:04:55.577893Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-12T00:04:55.250253Z digest=sha256:6fcf0e2acdee45081bb617cf10b2dda83148757c7f68032d1876a2d9f2197804

Observation 8409b350-3faf-4104-a256-8e23f359a413 · outbound

This paper cites Attention is all you need.

HybridMQA: Exploring Geometry-Texture Interactions for Colored Mesh Quality Assessment Attention is all you need

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-12T00:04:55.254183Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T00:04:55.254183Z digest=sha256:29f306b0931286801909db82b0499920db6a55bf06972436e8befd31f4b517e5

Observation f89c5fd4-b2f2-48ab-8539-8067f317b114 · outbound

This paper cites Dihedral angle mesh error: a fast perception correlated distortion measure for fixed connectiv- ity triangle meshes.

HybridMQA: Exploring Geometry-Texture Interactions for Colored Mesh Quality Assessment Dihedral angle mesh error: a fast perception correlated distortion measure for fixed connectiv- ity triangle meshes

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T00:04:55.561238Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-12T00:04:55.257963Z digest=sha256:35ac8f64ad8b48a3b4e6c1a2dbbf1becb57bbd865e330e2a421f8514181c5c61

Observation bc9b3f5e-f778-4d0c-b396-c3fa0a53d4c6 · outbound

This paper cites A fast roughness-based approach to the assessment of 3d mesh vi- sual quality.

HybridMQA: Exploring Geometry-Texture Interactions for Colored Mesh Quality Assessment A fast roughness-based approach to the assessment of 3d mesh vi- sual quality

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T00:04:55.551658Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-12T00:04:55.262160Z digest=sha256:2c993a3812a8df40ec382342950a8497f3d783a1f13b0bb9b68d0e03dde7f2fe

Observation b9afc3dd-d9be-40d9-ab1b-07879a344c01 · outbound

This paper cites an unresolved cited work.

HybridMQA: Exploring Geometry-Texture Interactions for Colored Mesh Quality Assessment Unresolved cited work

Reference 45

Resolution
unresolved
raw_fallback, observed 2026-08-12T00:04:55.542143Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-12T00:04:55.265797Z digest=sha256:94311a6283a781f19f6aa0504ae2de2a7625128571b8dfc5c567db407ad02a6e

Observation 62b9aa9d-76d7-48b8-b5f0-ef5852159052 · outbound

This paper cites Mul- tiscale structural similarity for image quality assessment.

HybridMQA: Exploring Geometry-Texture Interactions for Colored Mesh Quality Assessment Mul- tiscale structural similarity for image quality assessment

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T00:04:55.532915Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-12T00:04:55.269738Z digest=sha256:cef6444b101c0293b74369a60bd88ddb12559cb68ad29dd28bb99c762cf60282

Observation 3b5dadf1-8c34-4e77-ba59-11c1450213a6 · outbound

This paper cites Bovik, Hamid R.

HybridMQA: Exploring Geometry-Texture Interactions for Colored Mesh Quality Assessment Bovik, Hamid R

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T00:04:55.522899Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-12T00:04:55.273475Z digest=sha256:5fd659359e277a8e9252576e3f9ee6ea1a4ed7a74a43db1f4b73f92cc152992b

Observation c30fc133-885b-40e2-8d9b-51e3dcc7d929 · outbound

This paper cites Mnsr- net: multimodal transformer network for 3d surface super- resolution.

HybridMQA: Exploring Geometry-Texture Interactions for Colored Mesh Quality Assessment Mnsr- net: multimodal transformer network for 3d surface super- resolution

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T00:04:55.513297Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-12T00:04:55.277066Z digest=sha256:64089029812138eb87bfbd824455a4d10084d495ef6c8d205b676704885fe754

Observation 703bd96f-e02f-4065-8432-ff9dda6270f0 · outbound

This paper cites Tsmd: A database for static color mesh quality assessment study.

HybridMQA: Exploring Geometry-Texture Interactions for Colored Mesh Quality Assessment Tsmd: A database for static color mesh quality assessment study

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T00:04:55.503265Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-12T00:04:55.280534Z digest=sha256:c8015c495e20c7940781c7597aa3ccdae75080dd8452d2a526cb9be7905deb1d

Observation 7e08902d-b627-4c99-bfcc-5b887b3c72a3 · outbound

This paper cites GeodesicPSIM: Predicting the Quality of Static Mesh with Texture Map via Geodesic Patch Similarity.

HybridMQA: Exploring Geometry-Texture Interactions for Colored Mesh Quality Assessment GeodesicPSIM: Predicting the Quality of Static Mesh with Texture Map via Geodesic Patch Similarity

Reference 50

Resolution
verified exact
local_arxiv, observed 2026-08-12T00:04:55.354591Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-12T00:04:55.284243Z digest=sha256:b7bc9be871258c9aa85904c05e182be03d250c29eaca4d44d1c60cd104cd64eb

Observation 68852083-a541-480d-bce2-1c5d81e0fe3a · outbound

This paper cites Young, N´eill O’Dwyer, and Aljosa Smolic.

HybridMQA: Exploring Geometry-Texture Interactions for Colored Mesh Quality Assessment Young, N´eill O’Dwyer, and Aljosa Smolic

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T00:04:55.494228Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-12T00:04:55.287511Z digest=sha256:3a0885779e9a037724c5e5c4161142bdf0970d9cfbfead0f7c0cc91ad702d5bb

Observation 6d2cfeb4-501b-48ed-bd96-05a6ac564963 · outbound

This paper cites GraphSAINT: Graph sampling based inductive learning method.

HybridMQA: Exploring Geometry-Texture Interactions for Colored Mesh Quality Assessment GraphSAINT: Graph sampling based inductive learning method

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T00:04:55.484022Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-12T00:04:55.290703Z digest=sha256:b4de369ddb51a1b001894ac9b9bd1bf3719b7078168ef1315e864f234c3515cf

Observation 6f818906-f2d3-497e-9af1-1939116801e6 · outbound

This paper cites Decoupling the depth and scope of graph neural networks.

HybridMQA: Exploring Geometry-Texture Interactions for Colored Mesh Quality Assessment Decoupling the depth and scope of graph neural networks

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T00:04:55.473950Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-12T00:04:55.293986Z digest=sha256:13d7f66292553f79b3fa00c9e4188b200c701bf3c4f6125873fc5c8d81d839b3

Observation 240d3913-4b67-48ef-bc49-fca7ef728652 · outbound

This paper cites Efros, Eli Shecht- man, and Oliver Wang.

HybridMQA: Exploring Geometry-Texture Interactions for Colored Mesh Quality Assessment Efros, Eli Shecht- man, and Oliver Wang

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T00:04:55.462050Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-12T00:04:55.298340Z digest=sha256:324b5d63b7eca4e144ab182043e8ff2af0f2e842a186753d6167a2b0c17b4149

Observation 7de9e70b-aafe-4b62-97e0-22e4e9820e17 · outbound

This paper cites No-reference quality assessment for 3d colored point cloud and mesh models.IEEE Transactions on Circuits and Systems for Video Technology, 32(11):7618– 7631, 2022.

HybridMQA: Exploring Geometry-Texture Interactions for Colored Mesh Quality Assessment No-reference quality assessment for 3d colored point cloud and mesh models.IEEE Transactions on Circuits and Systems for Video Technology, 32(11):7618– 7631, 2022

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T00:04:55.450288Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-12T00:04:55.302149Z digest=sha256:d0aed4d90b40afcc3378617426addde43de88d7a0685984a0bc0cdf69c8c05be

Observation a4ced7f3-e280-4099-acc9-c445ed1e214a · outbound

This paper cites Mm-pcqa: Multi-modal learning for no-reference point cloud quality assessment.

HybridMQA: Exploring Geometry-Texture Interactions for Colored Mesh Quality Assessment Mm-pcqa: Multi-modal learning for no-reference point cloud quality assessment

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T00:04:55.438625Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-12T00:04:55.306299Z digest=sha256:206abacd0e7f4763d76f8a1e42a6afd927a99ca3abd5704017fc1411130efc7c

Observation 487f6db2-7f3b-461c-ab9a-140324d72949 · outbound

This paper cites Gms-3dqa: Projection-based grid mini-patch sampling for 3d model quality assessment.ACM Trans.

HybridMQA: Exploring Geometry-Texture Interactions for Colored Mesh Quality Assessment Gms-3dqa: Projection-based grid mini-patch sampling for 3d model quality assessment.ACM Trans

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T00:04:55.427974Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-12T00:04:55.310028Z digest=sha256:026f7fe8d54ab03e8176256edf7f21a069a688a86792d8f7f6065bc1e17ce6f4

Observation a83d74c5-9ac0-4473-95d2-7f25e2c1674c · outbound

This paper cites Lmm-pcqa: Assisting point cloud quality assessment with lmm.

HybridMQA: Exploring Geometry-Texture Interactions for Colored Mesh Quality Assessment Lmm-pcqa: Assisting point cloud quality assessment with lmm

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T00:04:55.417323Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-12T00:04:55.313594Z digest=sha256:1553f49b7b2e8fa05968f4bc0aa6268dfc0c7e99366877110bf3b8672c2eedde

Observation 34fb4914-b06b-42ef-abe9-de4cb1aafda9 · outbound

This paper cites Blind quality assessment of dense 3d point clouds with structure guided resampling.

HybridMQA: Exploring Geometry-Texture Interactions for Colored Mesh Quality Assessment Blind quality assessment of dense 3d point clouds with structure guided resampling

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T00:04:55.406433Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-12T00:04:55.317051Z digest=sha256:64feb66e582575689582e67a1510b0c8468813a5452a39ca6f5c0602cdf9e763

Pith citing papers

No inbound Pith citation observations are available.