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Paper Citation Record · LEDGER

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

As of 22 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 2026-08-22T06:32:14.747728+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=sha256:5c433dd106d9d3ec0826a4c1cd4e878d5ac4afc5b524ce262bb750cbd8c073d0

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-12T14:30:19.730771Z digest=sha256:36b48090b3f1f7cd6de9c2a96642bd85f6247f6943639dfe305ff1a5bfc28ba4

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-12T14:30:19.735077Z digest=sha256:e7cfcf97a48b73c165962b35def02d81109a95158f9d88cb1a5ebaaf611fcc76

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=sha256:06a5c8a2f99d949edbdeb2c82441eb31fbcc762fd17e3098c5160f3c5e8400b6

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-12T14:30:19.744728Z digest=sha256:9f5f4f33c9288f4d1723acacbeaa2d933e19331d48b712b8ce41a803a86012c5

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-12T14:30:19.751372Z digest=sha256:ef92c600479437491ea21d987f4ce9c6d89ce4fbf2f58584a98b303ecaab1549

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=sha256:698e4374d8721deae8759a93dcc6142c0fb683c3ddd3e4e587d69520fbdf67ee

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=sha256:6744161091092c8029fbdec55015a2cd04a274ab85f261f19e54bba32aa712a4

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:b82aea686cc35caec919479b6b4c7f6c82c3ea1a1d5d4cab95d8368a98a4a881

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-12T14:30:19.770680Z digest=sha256:5b32382dc79d7343e3ad41e1710b1d21e0b23ac547271e005748a0fb3bc5659f

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-12T14:30:19.774895Z digest=sha256:624f7f394ceac07351e804c6e7df447fc0099c3dc230715693dd88a91c2b2d2a

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=sha256:695a16cb20cc875cec34e77665a137ec69c7eaa3a59d2fea57db20cb7d4749d4

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-12T14:30:19.783933Z digest=sha256:7e0f55f50b585773dcf6089fdf343d11507d6c5e68d9ef9709671fa8fc6fe525

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:bb4c4cf2de5e98548183daf1cc0f4dbd93e7c6d0fd9ec779c0997295fcc94d0a

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-12T14:30:19.792625Z digest=sha256:75968896b95be57514237efef81bd0a4f9cbad8fa259c6c19fd16b9b7f5f783a

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-12T14:30:19.797036Z digest=sha256:38104fac81652f4b809cde0a52261fdd26f8227845281a5b8b72779128b09722

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-12T14:30:19.800804Z digest=sha256:67d4c28fea1861aa88371d27a95856fb62badb771ec2850c58b605326bcd4a2b

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:e09622945a6f460fb42a467c98123f2ca0100d86cec29b7206f5485420bf0006

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=sha256:66987b4f64354b040ae22aca9e86ee6e038d925147bd3f2b3ffdff8b1f04442e

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:a31cda3c1bfeb4637e54d9a559abb84d018329be67cc1b309d2ee15348aa5793

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-12T14:30:19.818275Z digest=sha256:40e9a2d3d81fe07fbb576c7cdc318b80ccb1d7d0b5308e4ce006668660661b75

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=sha256:7d1929e95e64aa972af582bbe107d734d4a7867b8fca1fd3bf5aa49eeb45271b

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-12T14:30:19.826466Z digest=sha256:943f7651ff5a43853ef5f03d4efc948b94ab97438e2f84e15ff4c428dc1409c6

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:d2c433b9d19b9ed6ce3e3462260133718dddc5538838c325ef0b25ac665205dc

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=sha256:2a5315b80c5ba6c7d39f3435aede582706c833bb44bf977e94228e2ab387ea83

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-12T14:30:19.839792Z digest=sha256:2b2fefecefc5cd510c4dbeba1e8441f8788caea210effaaec38cad78bae8c796

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=sha256:7690485192467379579f1beb9897d75bddd5ac3120457062c5e310e19fce6d33

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=sha256:90fdc53600df2b7e001e4a1f9f422a9e02c7f57d9695e862a3530ffe5f0c7172

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-12T14:30:19.852623Z digest=sha256:6fea7f0f5dd428e20c0b4402715252bbdd146e03caffb24d509e0e3582e96501

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-12T14:30:19.857419Z digest=sha256:9284b48a28955dc87941bc60786f82b5c72dee7b9ca20164c7a45563c9f4ee0c

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=sha256:64d73ede22708d628db1b11f476ff49cf20ceaf3320c937b43c685549b81a5a6

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=sha256:19a3e06269c8d28eada40cbd616cb3ca44b3cd1ac4b26d8b3060181c87ae6198

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:be2f0618fa744717a6a9675811ca9dbcf38c37508556259ab6841e00f1e10d1e

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-12T14:30:19.874808Z digest=sha256:3ab83b94414a4840dbb8d5d7f10f847cbd3c1aa69d33b553d43b85389f7b85cb

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=sha256:31e12cef4fe99e64bb09277498fa5731fb3482eec77ab459ddf00401214e6537

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=sha256:7d4c238985e57387c7ffd061b0ebb3d0b53034f9742d90f06d37f3d710901510

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-12T14:30:19.886934Z digest=sha256:a94f7fe59440ef4991011fbafc3b333227f084197bc5fa1cb47b51449243c4ec

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-12T14:30:19.890680Z digest=sha256:c37039919bd118368681e262d84d02adf1bfa5b35a949f8bee5a90ef9b6832dc

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-12T14:30:19.895173Z digest=sha256:2656e0886e77f4e2daabbc8b23cbde76bcaf8ac2b861f6beef95a2313c811057

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=sha256:0a49b249eaf437083576bc87a6af96b6824983f42843af508bafc2db57f16f56

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-12T14:30:19.903807Z digest=sha256:2660c58a28bc4dfd3d7e982e870d5aa39eec3c32574ad012befc9b4722031040

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=sha256:9e0e76dc2194289e694f9300c7edd5676d2abeaffcfd87df19732ffef92e4c23

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=sha256:62d2db29511ca7617cf6bc78b18e1f3cfd524b94e25f5af3af10f818dc619aea

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-12T14:30:19.917838Z digest=sha256:5ff6e65529fc6d2f5863f779a101035c95dfc52869992a8a0cf9ba76ddfdca5a

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-12T14:30:19.921867Z digest=sha256:46f1ead87f8d20fe6cc591b2901f14a084c04c65c9136589bdbbb21669d49000

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-12T14:30:19.927740Z digest=sha256:9764c6b680f1cb4363045fa3e3743f3d40332a9e0099791513268f0994694ac1

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-12T14:30:19.932870Z digest=sha256:116f510e784ab512e9912ce5780745a26fa1a35ead7ce88c291a930393e44c8b

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-12T14:30:19.937381Z digest=sha256:7616a989dc777662c48583bc0af0d9b67441bd71f422646bc763e9d53c557beb

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:e59d48a5849e74526a66d23df659dedf8fdd6979536480c934a0c5a5df4c3efb

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=sha256:0fce9006c3eaeef37ccad2d299636334e999aa1eb5ad273d7de26e1e0bf575a4

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-12T14:30:19.951585Z digest=sha256:4c0cfa56baa074a7a92ac7507bda34dc0763fcb4fa009398cb33a094a367623d

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-12T14:30:19.955531Z digest=sha256:c694167d73434c9687180974a0bb253a7aa31da64eabc43b5ee79a681a37b6e4

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-12T14:30:19.959882Z digest=sha256:3c38938f55c1178eb216813bf679c39c3cdc7708f2ccce78aca28bbb0ea89ed2

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-12T14:30:19.964547Z digest=sha256:275fac70123ba92b2fe3ccf653af5a5930b4cdeef20d1dca676c2d6afffa5c77

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-12T14:30:19.969291Z digest=sha256:5cd3d67ef7e1c7e3e48009c74e9f55cbb3e799a6791da78c98fdcecda6e2403a

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-12T14:30:19.974202Z digest=sha256:0b4c3c843ab4ac02663fb43e018e271601d1ac205ac4a483d4ecc2aada5153d7

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-12T14:30:19.979110Z digest=sha256:7f2970713752d3446206f836b7652037674a47991f8569e3f36954f924d46440

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-16T14:10:47.141456Z digest=sha256:9f8f2a982c0f9a496d8229419696fae3318c903ab16396757797dc45a52929b1

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=sha256:2987f07d131e1da0c6312f5ceaf78bf48ab1b45324eacfa71d6143ca95195c90

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-08T05:12:55.062360Z digest=sha256:f33041b1eed7b6c4a5980555d393a3b478dfe30f47624740f2db42ab76a86564

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-12T01:55:13.370339Z digest=sha256:822e49521bf621f9fc0cb5b43d8c867afc232022e605923fc034f1e6296708c8