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Paper Citation Record · LEDGER

Material Anything: Generating Materials for Any 3D Object via Diffusion

As of 15 August 2026, this Paper Citation Record lists 57 of 57 outbound references and 4 inbound Pith citation observations for arXiv:2411.15138.

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

pith.paper-citation-record.v1
2411.15138 v1

Coverage vector

measured 57 of 57 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T14:30:19.979110Z

measured 61 of 61 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 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-13T23:13:52.470831Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-16T14:10:47.171022Z

Reference resolution

57 of 57 outbound references displayed

  • verified exact0
  • verified fuzzy30
  • unresolved27
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation e94c2eb0-acc3-452f-9890-66b30dd6c9fc · outbound

This paper cites GPT-4 Technical Report.

Material Anything: Generating Materials for Any 3D Object via Diffusion GPT-4 Technical Report

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-12T14:30:19.725272Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T14:30:19.725272Z digest=sha256:c6a9308c8e5bb5729dd1a35fd5c882f60364c403af0ceb38aa4d0fdddf5cf4ce

Observation 9704ac06-0cd4-4b26-8918-c9e1de52d8cf · outbound

This paper cites Substance 3d painter.

Material Anything: Generating Materials for Any 3D Object via Diffusion Substance 3d painter

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:30:20.767310Z

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=2026-08-12T14:30:19.730771Z digest=sha256:02bd04e385be0b3b38b04c71424cffde0a090b06c29e3c53908deaeb193af728

Observation 9323e377-690a-494f-8d09-0befa6bd81af · outbound

This paper cites an unresolved cited work.

Material Anything: Generating Materials for Any 3D Object via Diffusion Unresolved cited work

Reference 3

Resolution
unresolved
raw_fallback, observed 2026-08-12T14:30:20.755529Z

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=2026-08-12T14:30:19.735077Z digest=sha256:88f853d7e4c11da02299d88d681aaa56f2d5bb48315851c99aa76f2b95df840d

Observation 43ee427e-8e96-4cd1-b268-610764b3995c · outbound

This paper cites Meta 3D Gen.

Material Anything: Generating Materials for Any 3D Object via Diffusion Meta 3D Gen

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-12T14:30:19.739381Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T14:30:19.739381Z digest=sha256:8b2ece2123874430783dd214efb6291fbdad5e1c6ff286d138b1af8163eb681f

Observation 4d6e0ea8-306e-47f0-9875-f0a6ee6c7a73 · outbound

This paper cites Blender project.

Material Anything: Generating Materials for Any 3D Object via Diffusion Blender project

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:30:20.743526Z

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=2026-08-12T14:30:19.744728Z digest=sha256:af0fe55af43ff7d8a90d17497473ad45ea70b386375f08da251940e499affb67

Observation 7bb877ca-c2ed-4dc7-9bda-2a09f7c5f665 · outbound

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

Material Anything: Generating Materials for Any 3D Object via Diffusion Text2tex: Text-driven tex- ture synthesis via diffusion models

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:30:20.731795Z

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=2026-08-12T14:30:19.751372Z digest=sha256:e91839353be6f0beb0ba87ace7f8cd0d40592b1628b9f33d037870b584f00d83

Observation e34f062d-9201-4795-b1e7-0f6145df5194 · outbound

This paper cites Fantasia3D: Disentangling Geometry and Appearance for High-quality Text-to-3D Content Creation.

Material Anything: Generating Materials for Any 3D Object via Diffusion Fantasia3D: Disentangling Geometry and Appearance for High-quality Text-to-3D Content Creation

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-12T14:30:19.755801Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T14:30:19.755801Z digest=sha256:b34840840c3c4cbaefb12fe054af05528b3b304ff9ea255c2f2a15dab5c15fde

Observation 50b9dd88-e188-448c-ac35-303ac54df309 · outbound

This paper cites ComboVerse: Compositional 3D Assets Creation Using Spatially-Aware Diffusion Guidance.

Material Anything: Generating Materials for Any 3D Object via Diffusion ComboVerse: Compositional 3D Assets Creation Using Spatially-Aware Diffusion Guidance

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-12T14:30:19.761321Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T14:30:19.761321Z digest=sha256:f54a1d151424128a877cfd4e6120951e10d8561e253d0332cc3df453a197440e

Observation 73b30096-7212-481a-b8b9-96254d9370d1 · outbound

This paper cites 3DTopia-XL: Scaling High-quality 3D Asset Generation via Primitive Diffusion.

Material Anything: Generating Materials for Any 3D Object via Diffusion 3DTopia-XL: Scaling High-quality 3D Asset Generation via Primitive Diffusion

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-12T14:30:19.765722Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T14:30:19.765722Z digest=sha256:81b40e6189c808387fc831e6a574f498f98f76f1bfbba44327662c714aea760f

Observation b566eba1-f2bf-4016-b9f9-9d5bbec3a4f6 · outbound

This paper cites Rodin gen-1.

Material Anything: Generating Materials for Any 3D Object via Diffusion Rodin gen-1

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:30:20.718506Z

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=2026-08-12T14:30:19.770680Z digest=sha256:fcf2c7134f0408da5b9b4277bc19384320aa8b040ecb0da794a10ada004f881b

Observation 4c1f68c1-d2f0-4304-8390-bda9220c108c · outbound

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

Material Anything: Generating Materials for Any 3D Object via Diffusion Objaverse: A universe of annotated 3d objects

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:30:20.705553Z

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=2026-08-12T14:30:19.774895Z digest=sha256:3316669c1441479bfacfd876937e4d3806e6006e38d52ec872db1361edaff801

Observation 9e8f13a2-bec3-4fa0-86d4-122be3ea8767 · outbound

This paper cites Make-it-Real: Unleashing Large Multimodal Model for Painting 3D Objects with Realistic Materials.

Material Anything: Generating Materials for Any 3D Object via Diffusion Make-it-Real: Unleashing Large Multimodal Model for Painting 3D Objects with Realistic Materials

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-12T14:30:19.779183Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T14:30:19.779183Z digest=sha256:a2d7d0c5a2cfd21d8f74e801f7e43bca32df1b6c8eaaceea784d27c41452e455

Observation d5e009e8-99b7-40d1-8f1c-00d6022e98fa · outbound

This paper cites Openlrm: Open-source large reconstruction models, 2023.

Material Anything: Generating Materials for Any 3D Object via Diffusion Openlrm: Open-source large reconstruction models, 2023

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:30:20.692032Z

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=2026-08-12T14:30:19.783933Z digest=sha256:e5635bb55f542d9f5deabd0b508f69376c0513b414959dc30a069f55bcdd3cd3

Observation 4be73b55-33e7-46a6-9fa1-c1466c30fbc7 · outbound

This paper cites 3DTopia: Large Text-to-3D Generation Model with Hybrid Diffusion Priors.

Material Anything: Generating Materials for Any 3D Object via Diffusion 3DTopia: Large Text-to-3D Generation Model with Hybrid Diffusion Priors

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-12T14:30:19.788113Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T14:30:19.788113Z digest=sha256:6f35b364d6d8e2d50ca24c602dd16d2e95549afee68c1907d0f8956eefee5937

Observation 7a408c64-2a5c-4625-926d-6539a4c676fd · outbound

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

Material Anything: Generating Materials for Any 3D Object via Diffusion Lrm: Large reconstruction model for single image to 3d

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:30:20.679885Z

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=2026-08-12T14:30:19.792625Z digest=sha256:a0d85c0d213bb78217e1447131ac0db1a806be7f8294cfc15e64e9c3278cda5d

Observation c7d959c8-0867-4f38-959e-2f628e2780d1 · outbound

This paper cites Humannorm: Learning normal diffusion model for high-quality and realistic 3d hu- man generation.

Material Anything: Generating Materials for Any 3D Object via Diffusion Humannorm: Learning normal diffusion model for high-quality and realistic 3d hu- man generation

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:30:20.667127Z

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=2026-08-12T14:30:19.797036Z digest=sha256:9f8b555460588ab0b462470824134705e57be27e506c7f10acd5916d6c74d6c2

Observation d21384aa-9124-40e4-8e7c-000a7e29c1e8 · outbound

This paper cites Diffusers.

Material Anything: Generating Materials for Any 3D Object via Diffusion Diffusers

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:30:20.653795Z

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=2026-08-12T14:30:19.800804Z digest=sha256:9bb468954c709645c27dcb09e01d1a6c05891625b55858c510e29e35556e04a7

Observation 1f758543-277b-4e65-99d3-1e23643b9bb8 · outbound

This paper cites Percep- tual losses for real-time style transfer and super-resolution.

Material Anything: Generating Materials for Any 3D Object via Diffusion Percep- tual losses for real-time style transfer and super-resolution

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-12T14:30:19.805044Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T14:30:19.805044Z digest=sha256:5dc60efc54f9c02f84a8c7fe58ed80649dc7e6182a0d0129a60546e231ce2608

Observation 5cdea2fa-4f54-43ab-9d87-67c198b8a6ad · outbound

This paper cites Shap-E: Generating Conditional 3D Implicit Functions.

Material Anything: Generating Materials for Any 3D Object via Diffusion Shap-E: Generating Conditional 3D Implicit Functions

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-12T14:30:19.810144Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T14:30:19.810144Z digest=sha256:bdc3a9654708209c7272a13978f5067b48d127768e16d53f27068a6360ffda17

Observation f3b4a971-0329-43cd-830f-3d3c5b4920af · outbound

This paper cites Segment any- thing.

Material Anything: Generating Materials for Any 3D Object via Diffusion Segment any- thing

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-12T14:30:19.814285Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T14:30:19.814285Z digest=sha256:d643ef1ca6ef1fd001ad7179c964a5c4049132d3928f3227cb65a57de1a14d0b

Observation 51d93e47-20fe-4bf1-93d7-3f61a38a03a1 · outbound

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

Material Anything: Generating Materials for Any 3D Object via Diffusion Modular primitives for high-performance differentiable rendering

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:30:20.614252Z

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=2026-08-12T14:30:19.818275Z digest=sha256:c8db1c9bbb0f62af92de99b7fb8b9c717b2e466a83e515bbf61c1c0442ab0a1d

Observation 4cb90ed6-cfc3-4cbd-93e3-476d2f6219a2 · outbound

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

Material Anything: Generating Materials for Any 3D Object via Diffusion Instant3d: Fast text-to-3d with sparse-view generation and large reconstruction model

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-12T14:30:19.822355Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T14:30:19.822355Z digest=sha256:ab4113d96a62982d749ed768e2bf40d3c00b3cc071c40149d2d1d97321e24b2d

Observation c0626082-52de-44e0-9af1-2bcf620cc039 · outbound

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

Material Anything: Generating Materials for Any 3D Object via Diffusion Magic3d: High-resolution text-to-3d content creation

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:30:20.590469Z

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=2026-08-12T14:30:19.826466Z digest=sha256:5ce7c7fa3cff0dd0f4cb4f75c985733c8872325e72daba7aba495b055c76abc4

Observation e1efb68e-e569-42e0-8dd8-6fe8477206a3 · outbound

This paper cites Text-Guided Texturing by Synchronized Multi-View Diffusion.

Material Anything: Generating Materials for Any 3D Object via Diffusion Text-Guided Texturing by Synchronized Multi-View Diffusion

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-12T14:30:19.830990Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T14:30:19.830990Z digest=sha256:e015e46c37144dc1e71c702fdf220c1a395959d18d2d073a1d8fcf7f299ffb88

Observation 28c4ddb6-3035-47e2-aa13-ea1fcb7ccb3c · outbound

This paper cites Latent-nerf for shape-guided generation of 3d shapes and textures.

Material Anything: Generating Materials for Any 3D Object via Diffusion Latent-nerf for shape-guided generation of 3d shapes and textures

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-12T14:30:19.835371Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T14:30:19.835371Z digest=sha256:59182e499427db5c192305730a312c3f2b7b0544e7dbc7680d1bccc2f3478a61

Observation 9b7705ba-3d34-4373-babc-60d03ea919e6 · outbound

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

Material Anything: Generating Materials for Any 3D Object via Diffusion Extracting triangular 3d models, materials, and lighting from images

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:30:20.567489Z

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=2026-08-12T14:30:19.839792Z digest=sha256:304eafb0669c3a27324ff3912264ff071dcd123672994fa678039da2ddcd9e70

Observation 942a3e26-8dc7-494a-85ba-1257a9d8d767 · outbound

This paper cites Point-E: A System for Generating 3D Point Clouds from Complex Prompts.

Material Anything: Generating Materials for Any 3D Object via Diffusion Point-E: A System for Generating 3D Point Clouds from Complex Prompts

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-12T14:30:19.844266Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T14:30:19.844266Z digest=sha256:b52969d6102c79c4e7b5203c939b7265ce21665d21e94c1071df5c21a8c5b94f

Observation 12e01a8d-6ec4-4fd0-9c47-cd898389d470 · outbound

This paper cites Dreamfusion: Text-to-3d using 2d diffusion.

Material Anything: Generating Materials for Any 3D Object via Diffusion Dreamfusion: Text-to-3d using 2d diffusion

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-12T14:30:19.848717Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T14:30:19.848717Z digest=sha256:055d43519f25c1260bfa4ec7b163503445c1560ecc1bf91d9ebc80a8b0f1ec40

Observation 0478ef41-33dc-4b56-88d6-e1dc0c163ecf · outbound

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

Material Anything: Generating Materials for Any 3D Object via Diffusion Texture: Text-guided texturing of 3d shapes

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:30:20.548173Z

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=2026-08-12T14:30:19.852623Z digest=sha256:cbd949f3ab646e68c1236e5064b06458860a31a019b5146599a00fc84c96dd3b

Observation 02deab0d-e08b-42dd-a06e-b3c15fda2866 · outbound

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

Material Anything: Generating Materials for Any 3D Object via Diffusion High-resolution image syn- thesis with latent diffusion models

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:30:20.535877Z

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=2026-08-12T14:30:19.857419Z digest=sha256:fd3425682fb3efa499d7b7b6cf67014ab487bdf135082a1a8b75775afd090db5

Observation a5e31f6b-d2c7-4e95-b85a-d260a9254c5d · outbound

This paper cites Progressive distillation for fast sampling of diffusion models.

Material Anything: Generating Materials for Any 3D Object via Diffusion Progressive distillation for fast sampling of diffusion models

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-12T14:30:19.861396Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T14:30:19.861396Z digest=sha256:9b53c71e3383abe4bfd1e6ab33c72107d7f0ff4803dae230a793586c4a264451

Observation c888a67b-9301-4b30-bf4a-4d1d72a7494c · outbound

This paper cites Zero123++: a Single Image to Consistent Multi-view Diffusion Base Model.

Material Anything: Generating Materials for Any 3D Object via Diffusion Zero123++: a Single Image to Consistent Multi-view Diffusion Base Model

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-12T14:30:19.865452Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T14:30:19.865452Z digest=sha256:0a267fe66b578a9463f24448f8d89452637dc2f4765adb31eb62430d7fe72d74

Observation bc5a103f-0713-4dcb-b4ab-19f77a9bc32c · outbound

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

Material Anything: Generating Materials for Any 3D Object via Diffusion Very Deep Convolutional Networks for Large-Scale Image Recognition

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-12T14:30:19.869913Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T14:30:19.869913Z digest=sha256:aa0c6012ca1745fe3044696c61ffb874172bcf5db164c0c4f77cc60eb844df2c

Observation d7a666ed-fd27-4841-872c-7285bb759e85 · outbound

This paper cites Dreamcraft3d: Hierarchical 3d generation with bootstrapped diffusion prior.ICLR, 2024.

Material Anything: Generating Materials for Any 3D Object via Diffusion Dreamcraft3d: Hierarchical 3d generation with bootstrapped diffusion prior.ICLR, 2024

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:30:20.517073Z

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=2026-08-12T14:30:19.874808Z digest=sha256:d373c5890bc94ffb05d72e0d28150e348e7811e6284c7edabc37930bd2ae8668

Observation 84f4d744-7488-4117-a0ab-677c8ff26324 · outbound

This paper cites Make-it-3d: High-fidelity 3d creation from a single image with diffusion prior.

Material Anything: Generating Materials for Any 3D Object via Diffusion Make-it-3d: High-fidelity 3d creation from a single image with diffusion prior

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-12T14:30:19.878699Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T14:30:19.878699Z digest=sha256:23a598359cdc22fdb16b1c3a0b927692e25d66cc4dd52957cdf65585c0f39b91

Observation b179011e-d7a5-43d8-9b2f-27e134ca09dd · outbound

This paper cites Lgm: Large multi-view gaussian model for high-resolution 3d content creation.

Material Anything: Generating Materials for Any 3D Object via Diffusion Lgm: Large multi-view gaussian model for high-resolution 3d content creation

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-12T14:30:19.882994Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T14:30:19.882994Z digest=sha256:44e2d05f1218510241cf3a0d3128999ec8c63d6331e908be1fbd1afde8e8e1d4

Observation 56306067-a5ac-411d-bebd-35908bb262b0 · outbound

This paper cites Collaborative control for geometry- conditioned pbr image generation.

Material Anything: Generating Materials for Any 3D Object via Diffusion Collaborative control for geometry- conditioned pbr image generation

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:30:20.489709Z

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=2026-08-12T14:30:19.886934Z digest=sha256:2cc359ca858f28c9456284257b441a320b6fa33ecf4361f911522a1958f46a01

Observation b663592d-6824-418a-9795-1530343125d0 · outbound

This paper cites Controlmat: A controlled generative approach to material capture.

Material Anything: Generating Materials for Any 3D Object via Diffusion Controlmat: A controlled generative approach to material capture

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:30:20.476316Z

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=2026-08-12T14:30:19.890680Z digest=sha256:d2d5e4ed0e7ad6c50adec454ff8589e35e11bd039383f41decaa3622c235317b

Observation 19cd303a-f1bb-46fd-b627-b54afa03679a · outbound

This paper cites Rodin: A generative model for sculpting 3d digital avatars using diffusion.

Material Anything: Generating Materials for Any 3D Object via Diffusion Rodin: A generative model for sculpting 3d digital avatars using diffusion

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:30:20.463237Z

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=2026-08-12T14:30:19.895173Z digest=sha256:4b78a91ed0c3dd55a122dc2276e8627552ffd8c4e43df07eb202abeaf5bffd5e

Observation 8318fa31-d464-45d9-b9c0-bf8c306c753a · outbound

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

Material Anything: Generating Materials for Any 3D Object via Diffusion Prolificdreamer: High-fidelity and diverse text-to-3d generation with variational score distilla- tion

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-12T14:30:19.899680Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T14:30:19.899680Z digest=sha256:351af5882a663ce28ac27111dd29754bb9230e8cf1f4df162fbe66c38f9671f0

Observation fd7186bb-bf40-4c34-ad43-23517e0e2b51 · outbound

This paper cites Themestation: Generating theme- aware 3d assets from few exemplars.

Material Anything: Generating Materials for Any 3D Object via Diffusion Themestation: Generating theme- aware 3d assets from few exemplars

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:30:20.439360Z

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=2026-08-12T14:30:19.903807Z digest=sha256:bbe00c58db9df8fb319f958e98c820005bfa488a6b8295a922726e3efd6085e2

Observation ab9d082e-d56d-48cd-8abd-d22fff6083ef · outbound

This paper cites Phidias: A Generative Model for Creating 3D Content from Text, Image, and 3D Conditions with Reference-Augmented Diffusion.

Material Anything: Generating Materials for Any 3D Object via Diffusion Phidias: A Generative Model for Creating 3D Content from Text, Image, and 3D Conditions with Reference-Augmented Diffusion

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-12T14:30:19.907980Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T14:30:19.907980Z digest=sha256:a258d35b1bd91cd4f206026f3e4bc164c224ef3ba6a79e9d5600bad6f34495a2

Observation 2e1915a7-e1ab-4af6-9517-d025bdbb7912 · outbound

This paper cites MATLABER: Material-Aware Text-to-3D via LAtent BRDF auto-EncodeR.

Material Anything: Generating Materials for Any 3D Object via Diffusion MATLABER: Material-Aware Text-to-3D via LAtent BRDF auto-EncodeR

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-12T14:30:19.913171Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T14:30:19.913171Z digest=sha256:a6696f448c385b351dc82462b569aabcad0406519f56a069c7e26e7afcf3aea2

Observation be15e457-e6c5-41f8-a01e-1f94ad3335a9 · outbound

This paper cites an unresolved cited work.

Material Anything: Generating Materials for Any 3D Object via Diffusion Unresolved cited work

Reference 44

Resolution
unresolved
raw_fallback, observed 2026-08-12T14:30:20.422936Z

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=2026-08-12T14:30:19.917838Z digest=sha256:4fd145723166208e943f72978cfdef9edf5c8704dbe8723e8466cd23ff1944de

Observation 4bb7cd1b-26b8-416f-871b-c1771bf81c6b · outbound

This paper cites Paint- it: Text-to-texture synthesis via deep convolutional texture map optimization and physically-based rendering.

Material Anything: Generating Materials for Any 3D Object via Diffusion Paint- it: Text-to-texture synthesis via deep convolutional texture map optimization and physically-based rendering

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:30:20.407913Z

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=2026-08-12T14:30:19.921867Z digest=sha256:d8cd35e59f4c8d813c61f6f4850bf44fda43b05774fc29c25d3fe976fae03dad

Observation cb2851f9-e6bd-4a1c-b994-2db973239ed9 · outbound

This paper cites Dilightnet: Fine-grained light- ing control for diffusion-based image generation.

Material Anything: Generating Materials for Any 3D Object via Diffusion Dilightnet: Fine-grained light- ing control for diffusion-based image generation

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:30:20.395001Z

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=2026-08-12T14:30:19.927740Z digest=sha256:ab7151a1e616a37c742955dda671d03ed08c5ae999dba53469d74666ebf7ca9d

Observation d722fe7c-7018-4e2c-b910-ec8e856298e2 · outbound

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

Material Anything: Generating Materials for Any 3D Object via Diffusion Paint3d: Paint anything 3d with lighting-less texture diffusion models

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:30:20.383759Z

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=2026-08-12T14:30:19.932870Z digest=sha256:066f20f0f26c4d797b2f0063080008fb152ee9b8431dbf20dd6bdd9555f2b477

Observation 4993c7b9-3d7d-42e7-8126-bc97fda9cf21 · outbound

This paper cites Rgb-x: Image decomposition and synthesis using material-and lighting-aware diffusion models.

Material Anything: Generating Materials for Any 3D Object via Diffusion Rgb-x: Image decomposition and synthesis using material-and lighting-aware diffusion models

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:30:20.370752Z

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=2026-08-12T14:30:19.937381Z digest=sha256:557d0fdc5df964dbfa0a3528fd781da1f8ef876323ea9f5c0f2eeebbffaffc48

Observation 3c167010-229a-49b1-b522-f54bc4479a02 · outbound

This paper cites Adding conditional control to text-to-image diffusion models.

Material Anything: Generating Materials for Any 3D Object via Diffusion Adding conditional control to text-to-image diffusion models

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-12T14:30:19.941548Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T14:30:19.941548Z digest=sha256:6b1f9ce8ff39b4941394ccde64228201c29c385cff1f4ef5114457738b7323da

Observation 2498bdfd-d4fd-438e-b6b0-92da1d559fa6 · outbound

This paper cites Clay: A controllable large-scale generative model for creat- ing high-quality 3d assets.

Material Anything: Generating Materials for Any 3D Object via Diffusion Clay: A controllable large-scale generative model for creat- ing high-quality 3d assets

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-12T14:30:19.947243Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T14:30:19.947243Z digest=sha256:dfdc9e55eb686b26f19f0bff897d72c1a63470cdf681681b9662da58d12bd203

Observation 06f989e8-31d7-4804-946f-a4ccf400462a · outbound

This paper cites Mapa: Text-driven photorealistic mate- rial painting for 3d shapes.

Material Anything: Generating Materials for Any 3D Object via Diffusion Mapa: Text-driven photorealistic mate- rial painting for 3d shapes

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:30:20.334698Z

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=2026-08-12T14:30:19.951585Z digest=sha256:db8dcedd1e47ed0314b9cd59fa96d5e079844f04e6a4a4aaa2461c064d00d916

Observation 450428c6-6672-4b2c-9ee1-a42623693662 · outbound

This paper cites Dreammat: High-quality pbr material generation with geometry-and light-aware diffusion models.

Material Anything: Generating Materials for Any 3D Object via Diffusion Dreammat: High-quality pbr material generation with geometry-and light-aware diffusion models

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:30:20.317777Z

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=2026-08-12T14:30:19.955531Z digest=sha256:949163b85b04bf5a1e054973beb8699aa3d68e776b423808987d10642d47d462

Observation 7f218f54-7cc1-4329-9fe7-bf6ee4fa07a7 · outbound

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

Material Anything: Generating Materials for Any 3D Object via Diffusion Triplane meets gaussian splatting: Fast and generalizable single-view 3d reconstruction with transformers

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:30:20.302534Z

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=2026-08-12T14:30:19.959882Z digest=sha256:d253411ae2f1fdb46bfec4bff0ad68a142947bb1e6835fac1601f41cf8232376

Observation 8cb783fc-7039-4d59-935d-938c268afd1c · outbound

This paper cites Point light sources are uniformly sam- pled from a hemisphere (with 0◦ ≤ θ ≤ 60◦) surround- ing the object, with a radius sampled in the range [4m, 5m].

Material Anything: Generating Materials for Any 3D Object via Diffusion Point light sources are uniformly sam- pled from a hemisphere (with 0◦ ≤ θ ≤ 60◦) surround- ing the object, with a radius sampled in the range [4m, 5m]

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:30:20.284631Z

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=2026-08-12T14:30:19.964547Z digest=sha256:e7d73b935109f6a64d3d657f17432e1bc0c01114337d44045811530e0264f65e

Observation b3051a25-e80a-40b1-8dd0-cb5e8c65222b · outbound

This paper cites Similar to point lighting, area light sources are sampled from a hemisphere (with 0◦ ≤ θ ≤ 60◦) with a radius from 4m to 5m.

Material Anything: Generating Materials for Any 3D Object via Diffusion Similar to point lighting, area light sources are sampled from a hemisphere (with 0◦ ≤ θ ≤ 60◦) with a radius from 4m to 5m

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:30:20.267499Z

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=2026-08-12T14:30:19.969291Z digest=sha256:77357cdd31d9503e8a49ea74bed894d146015b3e060376de6535f7bc922f4a88

Observation 7b2fdc04-6d5a-459c-bf88-54a617e7b759 · outbound

This paper cites Environmental lighting broadly influences scene illumination beyond isolated light sources.

Material Anything: Generating Materials for Any 3D Object via Diffusion Environmental lighting broadly influences scene illumination beyond isolated light sources

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:30:20.253217Z

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=2026-08-12T14:30:19.974202Z digest=sha256:6ee8aa68b0c19b4d5b46665aef5fada49043ef86f363f06374a80ae81c3453db

Observation c44814b8-46de-4417-9069-7b5c9f1125a0 · outbound

This paper cites To ensure the material estimator can accurately predict materials independent of lighting con- 1 Figure 14.

Material Anything: Generating Materials for Any 3D Object via Diffusion To ensure the material estimator can accurately predict materials independent of lighting con- 1 Figure 14

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:30:20.231872Z

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=2026-08-12T14:30:19.979110Z digest=sha256:8987650d94168965c6169b9dc53d206adada9d018d85a4af6fdbde20fd9a6813

Pith citing papers

Observation b1a9722d-44e3-4c33-9920-53e64d12f5f4 · inbound

Hunyuan3D 2.5: Towards High-Fidelity 3D Assets Generation with Ultimate Details cites this paper.

Hunyuan3D 2.5: Towards High-Fidelity 3D Assets Generation with Ultimate Details Material Anything: Generating Materials for Any 3D Object via Diffusion

Reference 6

Resolution
verified exact
arxiv_id, observed 2026-05-16T14:10:47.173536Z

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=2026-05-16T14:10:47.141456Z digest=sha256:d94d68097ac270e0010e869d64f46e2a0844d3da87cdfc007b754d0b338a2a7b

Observation f50bac02-616d-4736-9de1-9cffe617c2ef · inbound

FMMC: Harnessing the Power of Foundation Models for Accurate Material Classification cites this paper.

FMMC: Harnessing the Power of Foundation Models for Accurate Material Classification Material Anything: Generating Materials for Any 3D Object via Diffusion

Reference 18

Resolution
unresolved
no resolver link, observed 2026-07-13T23:13:52.470831Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T23:13:52.470831Z digest=sha256:01ab2cf2ac3218a2f4c0cd1aea87cfbf7fdbe02db94bf40bc3d15bf8aaebe520

Observation 5d1cbf32-2e66-416e-904e-61a5ac073b8e · inbound

From Visual Synthesis to Interactive Worlds: Toward Production-Ready 3D Asset Generation cites this paper.

From Visual Synthesis to Interactive Worlds: Toward Production-Ready 3D Asset Generation Material Anything: Generating Materials for Any 3D Object via Diffusion

Reference 198

Resolution
verified exact
arxiv_id, observed 2026-05-11T21:31:17.011526Z

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=2026-05-08T05:12:55.062360Z digest=sha256:135abe4089e2d28ac0f7aa72aa586fcf82cb365da9036d3dd5600fa9d1d232e6

Observation c7ddfe03-a1fd-49b2-a1c1-af186cb36923 · inbound

From Visual Synthesis to Interactive Worlds: Toward Production-Ready 3D Asset Generation cites this paper.

From Visual Synthesis to Interactive Worlds: Toward Production-Ready 3D Asset Generation Material Anything: Generating Materials for Any 3D Object via Diffusion

Reference 198

Resolution
verified exact
arxiv_id, observed 2026-05-12T01:56:14.812190Z

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=2026-05-12T01:55:13.370339Z digest=sha256:d6f64e775f8fa7c9a78c6457309597e733eb19eba36d9e3ef1319a3089826170