Paper Citation Record · LEDGER

A Scalable Attention-Based Approach for Image-to-3D Texture Mapping

As of 12 August 2026, this Paper Citation Record lists 48 of 48 outbound references and 1 inbound Pith citation observation for arXiv:2509.05131.

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

pith.paper-citation-record.v1
2509.05131 v1

Coverage vector

measured 48 of 48 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T05:38:12.886822Z

measured 49 of 49 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-10T15:19:02.421080Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T10:46:05.509867Z

Reference resolution

48 of 48 outbound references displayed

verified exact1
verified fuzzy35
unresolved12
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation e17d74d8-d6f1-426c-a2d7-e7e9c0f5b094 · outbound

This paper cites Mesh2tex: Generating mesh textures from image queries, 2023.

A Scalable Attention-Based Approach for Image-to-3D Texture Mapping Mesh2tex: Generating mesh textures from image queries, 2023

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:38:19.247332Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 611b0999-161d-4f41-956e-59f5e93303ff · outbound

This paper cites Texfusion: Synthesizing 3d textures with text-guided image diffusion models, 2023.

A Scalable Attention-Based Approach for Image-to-3D Texture Mapping Texfusion: Synthesizing 3d textures with text-guided image diffusion models, 2023

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:38:19.119703Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 83ab3114-2cdf-4778-8fb5-de3dbdc706ef · outbound

This paper cites Efficient geometry-aware 3d gen- erative adversarial networks.” arxiv, 2021.

A Scalable Attention-Based Approach for Image-to-3D Texture Mapping Efficient geometry-aware 3d gen- erative adversarial networks.” arxiv, 2021

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:38:18.968190Z

Source-reported events for the cited work

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Observation 4e499a18-e8bd-4056-bc3a-86d60c48916b · outbound

This paper cites Text2tex: Text-driven tex- ture synthesis via diffusion models, 2023.

A Scalable Attention-Based Approach for Image-to-3D Texture Mapping Text2tex: Text-driven tex- ture synthesis via diffusion models, 2023

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:38:18.811516Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 612f6e26-c6f1-404b-bbbe-5b83649ec096 · outbound

This paper cites Fan- tasia3d: Disentangling geometry and appearance for high- quality text-to-3d content creation, 2023.

A Scalable Attention-Based Approach for Image-to-3D Texture Mapping Fan- tasia3d: Disentangling geometry and appearance for high- quality text-to-3d content creation, 2023

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:38:18.610702Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation a87f7abd-d378-4c62-9338-9931b3719965 · outbound

This paper cites Tango: Text-driven photorealistic and robust 3d styliza- tion via lighting decomposition, 2022.

A Scalable Attention-Based Approach for Image-to-3D Texture Mapping Tango: Text-driven photorealistic and robust 3d styliza- tion via lighting decomposition, 2022

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:38:18.419652Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 0aa40770-b3a7-4fce-89c8-39a122f23c23 · outbound

This paper cites Tuvf: Learning generalizable texture uv radiance fields, 2023.

A Scalable Attention-Based Approach for Image-to-3D Texture Mapping Tuvf: Learning generalizable texture uv radiance fields, 2023

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:38:18.209350Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 7c2fd462-1a41-4c36-abfa-b49fe93c35f0 · outbound

This paper cites Objaverse: A universe of annotated 3d objects.

A Scalable Attention-Based Approach for Image-to-3D Texture Mapping Objaverse: A universe of annotated 3d objects

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-05T05:38:08.660711Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 60698811-0581-48e5-89a3-23198fd7ce9c · outbound

This paper cites Diffusion models beat gans on image synthesis.Advances in neural informa- tion processing systems, 34:8780–8794, 2021.

A Scalable Attention-Based Approach for Image-to-3D Texture Mapping Diffusion models beat gans on image synthesis.Advances in neural informa- tion processing systems, 34:8780–8794, 2021

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:38:18.018633Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 5213427c-1c0e-45ac-8a8f-dd3ea8491ca8 · outbound

This paper cites Google scanned objects: A high- quality dataset of 3d scanned household items.

A Scalable Attention-Based Approach for Image-to-3D Texture Mapping Google scanned objects: A high- quality dataset of 3d scanned household items

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:38:17.820964Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 20fd0bb1-33b1-4f5a-ae50-56f036d0d00c · outbound

This paper cites Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron Courville, and Yoshua Bengio.

A Scalable Attention-Based Approach for Image-to-3D Texture Mapping Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron Courville, and Yoshua Bengio

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-05T05:38:08.971412Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cd6ea3b1-5b56-46da-a812-6becd0dbcff1 · outbound

This paper cites Avatarclip: Zero-shot text- driven generation and animation of 3d avatars, 2022.

A Scalable Attention-Based Approach for Image-to-3D Texture Mapping Avatarclip: Zero-shot text- driven generation and animation of 3d avatars, 2022

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:38:17.648296Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 4b6c9cfe-2573-4a6a-9624-2278e506b22d · outbound

This paper cites Lrm: Large reconstruction model for single image to 3d, 2024.

A Scalable Attention-Based Approach for Image-to-3D Texture Mapping Lrm: Large reconstruction model for single image to 3d, 2024

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:38:17.468432Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation c7e86923-f71d-4b74-9186-8f3d28aff894 · outbound

This paper cites Tex- gen: Text-guided 3d texture generation with multi-view sam- pling and resampling.

A Scalable Attention-Based Approach for Image-to-3D Texture Mapping Tex- gen: Text-guided 3d texture generation with multi-view sam- pling and resampling

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:38:17.313609Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation debf1019-b854-4150-b9b1-24d8c0eecae0 · outbound

This paper cites A style-based generator architecture for generative adversarial networks, 2019.

A Scalable Attention-Based Approach for Image-to-3D Texture Mapping A style-based generator architecture for generative adversarial networks, 2019

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-05T05:38:09.382044Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9a517da7-e7d0-4cfe-88b5-840171bb0281 · outbound

This paper cites Instant3d: Fast text-to-3d with sparse-view generation and large reconstruction model, 2023.

A Scalable Attention-Based Approach for Image-to-3D Texture Mapping Instant3d: Fast text-to-3d with sparse-view generation and large reconstruction model, 2023

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:38:17.128731Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation f5ab4be8-8971-4248-8513-cca29f5318a2 · outbound

This paper cites Magic3d: High-resolution text-to-3d content creation, 2023.

A Scalable Attention-Based Approach for Image-to-3D Texture Mapping Magic3d: High-resolution text-to-3d content creation, 2023

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-05T05:38:09.570878Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 629b5faf-b53c-4462-a75e-0c18e5c8314a · outbound

This paper cites Texoct: Generating textures of 3d models with octree-based diffusion.

A Scalable Attention-Based Approach for Image-to-3D Texture Mapping Texoct: Generating textures of 3d models with octree-based diffusion

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:38:17.001437Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation b18efb45-1f0f-4285-807d-783ff5be1ed1 · outbound

This paper cites X- mesh: Towards fast and accurate text-driven 3d stylization via dynamic textual guidance, 2023.

A Scalable Attention-Based Approach for Image-to-3D Texture Mapping X- mesh: Towards fast and accurate text-driven 3d stylization via dynamic textual guidance, 2023

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:38:16.865090Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation ae301f61-d5bf-4ebe-aaba-a71441a359d5 · outbound

This paper cites Text2mesh: Text-driven neural stylization for meshes, 2021.

A Scalable Attention-Based Approach for Image-to-3D Texture Mapping Text2mesh: Text-driven neural stylization for meshes, 2021

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:38:16.731612Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation a923fd5b-f827-4088-b41d-d63ffb742228 · outbound

This paper cites Srinivasan, Matthew Tancik, Jonathan T.

A Scalable Attention-Based Approach for Image-to-3D Texture Mapping Srinivasan, Matthew Tancik, Jonathan T

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:38:16.590224Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation efea6adf-210e-4da5-8e78-ea5b02b6d493 · outbound

This paper cites Clip-mesh: Generating textured meshes from text using pretrained image-text models.

A Scalable Attention-Based Approach for Image-to-3D Texture Mapping Clip-mesh: Generating textured meshes from text using pretrained image-text models

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:38:16.469291Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 89bef642-204b-4fcd-a5bb-56bc6c349ba2 · outbound

This paper cites Instant neural graphics primitives with a multires- olution hash encoding.ACM Transactions on Graphics, 41 (4):1–15, 2022.

A Scalable Attention-Based Approach for Image-to-3D Texture Mapping Instant neural graphics primitives with a multires- olution hash encoding.ACM Transactions on Graphics, 41 (4):1–15, 2022

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:38:16.338351Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation f01930a1-37af-4bf3-8104-6b569e5dd5eb · outbound

This paper cites Texture fields: Learning tex- ture representations in function space, 2019.

A Scalable Attention-Based Approach for Image-to-3D Texture Mapping Texture fields: Learning tex- ture representations in function space, 2019

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:38:16.196353Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 766222a7-2a16-4b63-87ce-52cf248dcfdf · outbound

This paper cites Dinov2: Learning robust visual features with- out supervision, 2024.

A Scalable Attention-Based Approach for Image-to-3D Texture Mapping Dinov2: Learning robust visual features with- out supervision, 2024

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:38:16.033849Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation a2a31b25-7dae-46b2-8153-77be47fdfea1 · outbound

This paper cites Easi-tex: Edge-aware mesh texturing from sin- gle image.ACM Transactions on Graphics (TOG), 43(4): 1–11, 2024.

A Scalable Attention-Based Approach for Image-to-3D Texture Mapping Easi-tex: Edge-aware mesh texturing from sin- gle image.ACM Transactions on Graphics (TOG), 43(4): 1–11, 2024

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:38:15.899187Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 8344440c-82ef-4f4b-b0a0-d22601b2da6a · outbound

This paper cites Barron, and Ben Milden- hall.

A Scalable Attention-Based Approach for Image-to-3D Texture Mapping Barron, and Ben Milden- hall

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:38:15.778278Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 9b9c959c-8c63-4b15-919a-7d76bc42d16c · outbound

This paper cites Pointnet: Deep learning on point sets for 3d classification and segmentation.

A Scalable Attention-Based Approach for Image-to-3D Texture Mapping Pointnet: Deep learning on point sets for 3d classification and segmentation

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:38:15.625207Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation a7f518a1-1fe0-42df-9030-4543e3715b92 · outbound

This paper cites Learning transferable visual models from natural language supervision, 2021.

A Scalable Attention-Based Approach for Image-to-3D Texture Mapping Learning transferable visual models from natural language supervision, 2021

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-05T05:38:10.693454Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 725379f4-2eae-4ef4-ac2e-922467ca197c · outbound

This paper cites Learning transferable visual models from natural language supervi- sion.

A Scalable Attention-Based Approach for Image-to-3D Texture Mapping Learning transferable visual models from natural language supervi- sion

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-05T05:38:10.792182Z

Source-reported events for the cited work

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Observation 7f117800-fa33-4245-884c-1c219abd2843 · outbound

This paper cites Texture: Text-guided texturing of 3d shapes, 2023.

A Scalable Attention-Based Approach for Image-to-3D Texture Mapping Texture: Text-guided texturing of 3d shapes, 2023

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:38:15.463541Z

Source-reported events for the cited work

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Observation 764d8487-2994-45bf-9d40-7e054ebf69d4 · outbound

This paper cites High-resolution image synthesis with latent diffusion models.

A Scalable Attention-Based Approach for Image-to-3D Texture Mapping High-resolution image synthesis with latent diffusion models

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-05T05:38:10.997573Z

Source-reported events for the cited work

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Observation 4856e77d-fdd2-4c09-9826-8a74c7e005b8 · outbound

This paper cites Photorealistic text-to-image diffusion models with deep language understanding.Advances in neural information processing systems, 35:36479–36494, 2022.

A Scalable Attention-Based Approach for Image-to-3D Texture Mapping Photorealistic text-to-image diffusion models with deep language understanding.Advances in neural information processing systems, 35:36479–36494, 2022

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-05T05:38:11.119356Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 90e63f9d-b849-44c2-b97c-640fb5cab6ca · outbound

This paper cites Wavelet Latent Diffusion (Wala): Billion-Parameter 3D Generative Model with Compact Wavelet Encodings.

A Scalable Attention-Based Approach for Image-to-3D Texture Mapping Wavelet Latent Diffusion (Wala): Billion-Parameter 3D Generative Model with Compact Wavelet Encodings

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-05T05:38:11.275843Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5485841e-1471-46bd-a25e-6b4fdd4b6006 · outbound

This paper cites Texturify: Generating textures on 3d shape surfaces, 2022.

A Scalable Attention-Based Approach for Image-to-3D Texture Mapping Texturify: Generating textures on 3d shape surfaces, 2022

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:38:15.166091Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 608e7cdf-6c3b-4e3b-a555-90091e57601f · outbound

This paper cites Very Deep Convolutional Networks for Large-Scale Image Recognition.

A Scalable Attention-Based Approach for Image-to-3D Texture Mapping Very Deep Convolutional Networks for Large-Scale Image Recognition

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-05T05:38:11.499237Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 63f7da4e-dc78-4366-a43f-1255b07ce86b · outbound

This paper cites InTeX: Interactive Text-to-texture Synthesis via Unified Depth-aware Inpainting.

A Scalable Attention-Based Approach for Image-to-3D Texture Mapping InTeX: Interactive Text-to-texture Synthesis via Unified Depth-aware Inpainting

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-05T05:38:11.619291Z

Source-reported events for the cited work

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Observation ba24aa96-3941-40d1-9add-37574da93a0c · outbound

This paper cites Prolificdreamer: High-fidelity and diverse text-to-3d generation with variational score distilla- tion, 2023.

A Scalable Attention-Based Approach for Image-to-3D Texture Mapping Prolificdreamer: High-fidelity and diverse text-to-3d generation with variational score distilla- tion, 2023

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:38:14.991530Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 0282fc54-d71e-41f5-9e92-a03ee2a3c80e · outbound

This paper cites Grm: Large gaussian reconstruction model for ef- ficient 3d reconstruction and generation, 2024.

A Scalable Attention-Based Approach for Image-to-3D Texture Mapping Grm: Large gaussian reconstruction model for ef- ficient 3d reconstruction and generation, 2024

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:38:14.845026Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 0ef0272e-c042-48f6-8dff-032208a86bf5 · outbound

This paper cites Texturedreamer: Image-guided texture synthesis through geometry-aware diffusion, 2024.

A Scalable Attention-Based Approach for Image-to-3D Texture Mapping Texturedreamer: Image-guided texture synthesis through geometry-aware diffusion, 2024

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:38:14.687793Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 356f09a2-6c64-454c-ac17-5f607ecdcf02 · outbound

This paper cites Texture generation on 3d meshes with point-uv diffusion, 2023.

A Scalable Attention-Based Approach for Image-to-3D Texture Mapping Texture generation on 3d meshes with point-uv diffusion, 2023

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:38:14.504922Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 4a2d2a96-1d35-4846-bd26-4f93686e5dc0 · outbound

This paper cites Geometry-Aware Preference Learning for 3D Texture Generation.arXiv preprint arXiv:2506.18331, 2025.

A Scalable Attention-Based Approach for Image-to-3D Texture Mapping Geometry-Aware Preference Learning for 3D Texture Generation.arXiv preprint arXiv:2506.18331, 2025

Reference 42

Resolution: verified exact; raw_fallback, observed 2026-08-05T05:38:13.161975Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation d39c7486-c837-429d-9517-66334e1998ce · outbound

This paper cites Paint3d: Paint anything 3d with lighting-less texture diffusion models, 2023.

A Scalable Attention-Based Approach for Image-to-3D Texture Mapping Paint3d: Paint anything 3d with lighting-less texture diffusion models, 2023

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:38:14.280159Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation ce6dffd4-48b2-4202-9aeb-8ccc5613d368 · outbound

This paper cites Texpainter: Generative mesh texturing with multi-view consistency, 2024.

A Scalable Attention-Based Approach for Image-to-3D Texture Mapping Texpainter: Generative mesh texturing with multi-view consistency, 2024

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:38:14.040125Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 338e87d1-bf63-4172-9465-e9c1d3041095 · outbound

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

A Scalable Attention-Based Approach for Image-to-3D Texture Mapping Efros, Eli Shecht- man, and Oliver Wang

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:38:13.815966Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 9b610098-9253-435e-9d91-941e6ee41676 · outbound

This paper cites The unreasonable effectiveness of deep features as a perceptual metric.

A Scalable Attention-Based Approach for Image-to-3D Texture Mapping The unreasonable effectiveness of deep features as a perceptual metric

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-05T05:38:12.609485Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a00131da-9495-4f0c-8364-f4a05efd918e · outbound

This paper cites Dreammat: High-quality pbr material generation with geometry- and light-aware dif- fusion models, 2024.

A Scalable Attention-Based Approach for Image-to-3D Texture Mapping Dreammat: High-quality pbr material generation with geometry- and light-aware dif- fusion models, 2024

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:38:13.648199Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation b7084de6-1417-4920-a80a-f17d6ba1ee02 · outbound

This paper cites Triplane meets gaussian splatting: Fast and generalizable single-view 3d reconstruction with transformers, 2023.

A Scalable Attention-Based Approach for Image-to-3D Texture Mapping Triplane meets gaussian splatting: Fast and generalizable single-view 3d reconstruction with transformers, 2023

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:38:13.441044Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Pith citing papers

Observation f0fa7fa3-6d5b-418e-aea9-f7a709647058 · inbound

DataEvolver: Let Your Data Build and Improve Itself via Goal-Driven Loop Agents cites this paper.

DataEvolver: Let Your Data Build and Improve Itself via Goal-Driven Loop Agents A Scalable Attention-Based Approach for Image-to-3D Texture Mapping

Reference 23

Resolution: verified exact; arxiv_id, observed 2026-05-11T10:46:05.519037Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.