VLMaterial: Procedural Material Generation with Large Vision-Language Models | Paper Citation Record

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This paper cites write newline.

VLMaterial: Procedural Material Generation with Large Vision-Language Models write newline

Reference 1

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Observation bf8d58ac-23d1-46aa-a42d-cfe57bf65015 · outbound

This paper cites Adobe Substance 3D Designer, 2024.

VLMaterial: Procedural Material Generation with Large Vision-Language Models Adobe Substance 3D Designer, 2024

Reference 2

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Observation 6958b224-6e0b-43f6-a416-23a1c6a0275a · outbound

This paper cites Blender - a 3D modelling and rendering package.

VLMaterial: Procedural Material Generation with Large Vision-Language Models Blender - a 3D modelling and rendering package

Reference 3

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This paper cites Blender Python API.

VLMaterial: Procedural Material Generation with Large Vision-Language Models Blender Python API

Reference 4

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This paper cites Sliced and radon wasserstein barycenters of measures.

VLMaterial: Procedural Material Generation with Large Vision-Language Models Sliced and radon wasserstein barycenters of measures

Reference 5

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Observation d8c8d68e-a807-4860-bdc1-153ea872b9dc · outbound

This paper cites Deepsvg: A hierarchical generative network for vector graphics animation.

VLMaterial: Procedural Material Generation with Large Vision-Language Models Deepsvg: A hierarchical generative network for vector graphics animation

Reference 6

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Observation 890e1ec3-9861-4731-a64d-5b62e3ec8ad1 · outbound

This paper cites FlashAttention-2: Faster Attention with Better Parallelism and Work Partitioning.

VLMaterial: Procedural Material Generation with Large Vision-Language Models FlashAttention-2: Faster Attention with Better Parallelism and Work Partitioning

Reference 7

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This paper cites Single-image svbrdf capture with a rendering-aware deep network.

VLMaterial: Procedural Material Generation with Large Vision-Language Models Single-image svbrdf capture with a rendering-aware deep network

Reference 8

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Observation 31825799-c021-42da-9856-6c75d1930b05 · outbound

This paper cites The markov chain monte carlo revolution.

VLMaterial: Procedural Material Generation with Large Vision-Language Models The markov chain monte carlo revolution

Reference 9

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Observation 89b64d5d-7fe8-4e42-be04-bcc67e1f12cd · outbound

This paper cites Inversecsg: Automatic conversion of 3d models to csg trees.

VLMaterial: Procedural Material Generation with Large Vision-Language Models Inversecsg: Automatic conversion of 3d models to csg trees

Reference 10

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Observation 4562757f-3960-4d0a-8b53-d35bc4d98d42 · outbound

This paper cites The Llama 3 Herd of Models.

VLMaterial: Procedural Material Generation with Large Vision-Language Models The Llama 3 Herd of Models

Reference 11

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This paper cites Learning to infer graphics programs from hand-drawn images.

VLMaterial: Procedural Material Generation with Large Vision-Language Models Learning to infer graphics programs from hand-drawn images

Reference 12

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Observation 04df5d24-1767-440c-9108-f0f74b6d8ab2 · outbound

This paper cites Write, execute, assess: Program synthesis with a repl.

VLMaterial: Procedural Material Generation with Large Vision-Language Models Write, execute, assess: Program synthesis with a repl

Reference 13

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Observation 63408d4d-99f8-4cca-821d-88f2f80132c4 · outbound

This paper cites Dreamcoder: growing generalizable, interpretable knowledge with wake--sleep bayesian program learning.

VLMaterial: Procedural Material Generation with Large Vision-Language Models Dreamcoder: growing generalizable, interpretable knowledge with wake--sleep bayesian program learning

Reference 14

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This paper cites Unreal Engine.

VLMaterial: Procedural Material Generation with Large Vision-Language Models Unreal Engine

Reference 15

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This paper cites Deep inverse rendering for high-resolution svbrdf estimation from an arbitrary number of images.

VLMaterial: Procedural Material Generation with Large Vision-Language Models Deep inverse rendering for high-resolution svbrdf estimation from an arbitrary number of images

Reference 16

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Observation fc7ee70f-0f10-4ce4-9c8f-80123063fe22 · outbound

This paper cites Texture synthesis using convolutional neural networks.

VLMaterial: Procedural Material Generation with Large Vision-Language Models Texture synthesis using convolutional neural networks

Reference 17

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This paper cites A Neural Algorithm of Artistic Style.

VLMaterial: Procedural Material Generation with Large Vision-Language Models A Neural Algorithm of Artistic Style

Reference 18

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Observation 49ce393c-a9f2-4f7e-893a-eabd4bb9b749 · outbound

This paper cites Practical markov chain monte carlo.

VLMaterial: Procedural Material Generation with Large Vision-Language Models Practical markov chain monte carlo

Reference 19

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Observation 451a0239-8c7b-4a96-ba35-0ce664000cb1 · outbound

This paper cites MatFormer: A Generative Model for Procedural Materials.

VLMaterial: Procedural Material Generation with Large Vision-Language Models MatFormer: A Generative Model for Procedural Materials

Reference 20

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Observation df2d81d1-a532-4bc2-a0f1-1f3b5abfad64 · outbound

This paper cites Highlight-aware two-stream network for single-image svbrdf acquisition.

VLMaterial: Procedural Material Generation with Large Vision-Language Models Highlight-aware two-stream network for single-image svbrdf acquisition

Reference 21

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Observation 740bf867-4a40-4ce0-a9f8-5c0b2b25f9ee · outbound

This paper cites MaterialGAN: Reflectance Capture using a Generative SVBRDF Model.

VLMaterial: Procedural Material Generation with Large Vision-Language Models MaterialGAN: Reflectance Capture using a Generative SVBRDF Model

Reference 22

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This paper cites A sliced wasserstein loss for neural texture synthesis.

VLMaterial: Procedural Material Generation with Large Vision-Language Models A sliced wasserstein loss for neural texture synthesis

Reference 23

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Observation 2411a96f-6b6c-4a28-b465-7ae9cd2ff599 · outbound

This paper cites Generative Modelling of BRDF Textures from Flash Images.

VLMaterial: Procedural Material Generation with Large Vision-Language Models Generative Modelling of BRDF Textures from Flash Images

Reference 24

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This paper cites LoRA: Low-Rank Adaptation of Large Language Models.

VLMaterial: Procedural Material Generation with Large Vision-Language Models LoRA: Low-Rank Adaptation of Large Language Models

Reference 25

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Observation 14510d5e-75fa-4cb4-bde6-7b804732e1a4 · outbound

This paper cites A novel framework for inverse procedural texture modeling.

VLMaterial: Procedural Material Generation with Large Vision-Language Models A novel framework for inverse procedural texture modeling

Reference 26

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This paper cites Node graph optimization using differentiable proxies.

VLMaterial: Procedural Material Generation with Large Vision-Language Models Node graph optimization using differentiable proxies

Reference 27

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Observation f2e3cf03-5162-4738-94ec-821e0e4616df · outbound

This paper cites An inverse procedural modeling pipeline for svbrdf maps.

VLMaterial: Procedural Material Generation with Large Vision-Language Models An inverse procedural modeling pipeline for svbrdf maps

Reference 28

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This paper cites Generating procedural materials from text or image prompts.

VLMaterial: Procedural Material Generation with Large Vision-Language Models Generating procedural materials from text or image prompts

Reference 29

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Observation b90b723f-0f4b-4ca2-9839-f9d54429f5fd · outbound

This paper cites BlenderAlchemy: Editing 3D Graphics with Vision-Language Models.

VLMaterial: Procedural Material Generation with Large Vision-Language Models BlenderAlchemy: Editing 3D Graphics with Vision-Language Models

Reference 30

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This paper cites Inferring and executing programs for visual reasoning.

VLMaterial: Procedural Material Generation with Large Vision-Language Models Inferring and executing programs for visual reasoning

Reference 31

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This paper cites Shapeassembly: Learning to generate programs for 3d shape structure synthesis.

VLMaterial: Procedural Material Generation with Large Vision-Language Models Shapeassembly: Learning to generate programs for 3d shape structure synthesis

Reference 32

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This paper cites Ucsg-net-unsupervised discovering of constructive solid geometry tree.

VLMaterial: Procedural Material Generation with Large Vision-Language Models Ucsg-net-unsupervised discovering of constructive solid geometry tree

Reference 33

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This paper cites End-to-end procedural material capture with proxy-free mixed-integer optimization.

VLMaterial: Procedural Material Generation with Large Vision-Language Models End-to-end procedural material capture with proxy-free mixed-integer optimization

Reference 34

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This paper cites Procedural material generation with reinforcement learning.

VLMaterial: Procedural Material Generation with Large Vision-Language Models Procedural material generation with reinforcement learning

Reference 35

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This paper cites Llava-next: Stronger llms supercharge multimodal capabilities in the wild, May 2024 b.

VLMaterial: Procedural Material Generation with Large Vision-Language Models Llava-next: Stronger llms supercharge multimodal capabilities in the wild, May 2024 b

Reference 36

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This paper cites Free2cad: Parsing freehand drawings into cad commands.

VLMaterial: Procedural Material Generation with Large Vision-Language Models Free2cad: Parsing freehand drawings into cad commands

Reference 37

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This paper cites Modeling surface appearance from a single photograph using self-augmented convolutional neural networks.

VLMaterial: Procedural Material Generation with Large Vision-Language Models Modeling surface appearance from a single photograph using self-augmented convolutional neural networks

Reference 38

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Observation b0d972af-e6e1-48a3-9734-04d46221ea79 · outbound

This paper cites Materials for masses: Svbrdf acquisition with a single mobile phone image.

VLMaterial: Procedural Material Generation with Large Vision-Language Models Materials for masses: Svbrdf acquisition with a single mobile phone image

Reference 39

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This paper cites Improved baselines with visual instruction tuning, 2023 a.

VLMaterial: Procedural Material Generation with Large Vision-Language Models Improved baselines with visual instruction tuning, 2023 a

Reference 40

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VLMaterial: Procedural Material Generation with Large Vision-Language Models Visual instruction tuning, 2023 b

Reference 41

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This paper cites Llava-next: Improved reasoning, ocr, and world knowledge, January 2024.

VLMaterial: Procedural Material Generation with Large Vision-Language Models Llava-next: Improved reasoning, ocr, and world knowledge, January 2024

Reference 42

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This paper cites Decoupled Weight Decay Regularization.

VLMaterial: Procedural Material Generation with Large Vision-Language Models Decoupled Weight Decay Regularization

Reference 43

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This paper cites Materia: Single image high-resolution material capture in the wild.

VLMaterial: Procedural Material Generation with Large Vision-Language Models Materia: Single image high-resolution material capture in the wild

Reference 44

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This paper cites Is self-repair a silver bullet for code generation? In The Twelfth International Conference on Learning Representations, 2023.

VLMaterial: Procedural Material Generation with Large Vision-Language Models Is self-repair a silver bullet for code generation? In The Twelfth International Conference on Learning Representations, 2023

Reference 45

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VLMaterial: Procedural Material Generation with Large Vision-Language Models GPT-4o, 2024 a

Reference 46

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VLMaterial: Procedural Material Generation with Large Vision-Language Models GPT-4o-mini, 2024 b

Reference 47

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Observation 8304cf82-83c5-4e40-b97e-13a001e9df3b · outbound

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

VLMaterial: Procedural Material Generation with Large Vision-Language Models Learning transferable visual models from natural language supervision

Reference 48

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This paper cites Infinite photorealistic worlds using procedural generation.

VLMaterial: Procedural Material Generation with Large Vision-Language Models Infinite photorealistic worlds using procedural generation

Reference 49

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Observation 34c92b42-8a8c-4b93-8ba7-648ae5daecca · outbound

This paper cites Zero: Memory optimizations toward training trillion parameter models.

VLMaterial: Procedural Material Generation with Large Vision-Language Models Zero: Memory optimizations toward training trillion parameter models

Reference 50

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This paper cites Deepspeed: System optimizations enable training deep learning models with over 100 billion parameters.

VLMaterial: Procedural Material Generation with Large Vision-Language Models Deepspeed: System optimizations enable training deep learning models with over 100 billion parameters

Reference 51

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This paper cites Im2vec: Synthesizing vector graphics without vector supervision.

VLMaterial: Procedural Material Generation with Large Vision-Language Models Im2vec: Synthesizing vector graphics without vector supervision

Reference 52

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This paper cites StarVector: Generating Scalable Vector Graphics Code from Images and Text.

VLMaterial: Procedural Material Generation with Large Vision-Language Models StarVector: Generating Scalable Vector Graphics Code from Images and Text

Reference 53

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This paper cites Mathematical discoveries from program search with large language models.

VLMaterial: Procedural Material Generation with Large Vision-Language Models Mathematical discoveries from program search with large language models

Reference 54

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This paper cites Stochastic superoptimization.

VLMaterial: Procedural Material Generation with Large Vision-Language Models Stochastic superoptimization

Reference 55

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This paper cites Csgnet: Neural shape parser for constructive solid geometry.

VLMaterial: Procedural Material Generation with Large Vision-Language Models Csgnet: Neural shape parser for constructive solid geometry

Reference 56

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This paper cites Match: Differentiable material graphs for procedural material capture.

VLMaterial: Procedural Material Generation with Large Vision-Language Models Match: Differentiable material graphs for procedural material capture

Reference 57

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VLMaterial: Procedural Material Generation with Large Vision-Language Models 3D-GPT: Procedural 3D Modeling with Large Language Models

Reference 58

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VLMaterial: Procedural Material Generation with Large Vision-Language Models Gemini: A Family of Highly Capable Multimodal Models

Reference 59

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VLMaterial: Procedural Material Generation with Large Vision-Language Models Learning to Infer and Execute 3D Shape Programs

Reference 60

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VLMaterial: Procedural Material Generation with Large Vision-Language Models LLaMA: Open and Efficient Foundation Language Models

Reference 61

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VLMaterial: Procedural Material Generation with Large Vision-Language Models Point2cyl: Reverse engineering 3d objects from point clouds to extrusion cylinders

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:04:24.966532Z

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VLMaterial: Procedural Material Generation with Large Vision-Language Models Attention is all you need

Reference 63

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VLMaterial: Procedural Material Generation with Large Vision-Language Models Surfacenet: Adversarial svbrdf estimation from a single image

Reference 64

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VLMaterial: Procedural Material Generation with Large Vision-Language Models Controlmat: A controlled generative approach to material capture

Reference 65

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VLMaterial: Procedural Material Generation with Large Vision-Language Models Matfuse: controllable material generation with diffusion models

Reference 66

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This paper cites Optimal transport: old and new, volume 338.

VLMaterial: Procedural Material Generation with Large Vision-Language Models Optimal transport: old and new, volume 338

Reference 67

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VLMaterial: Procedural Material Generation with Large Vision-Language Models Deepcad: A deep generative network for computer-aided design models

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:04:24.874826Z

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VLMaterial: Procedural Material Generation with Large Vision-Language Models Hierarchical Neural Coding for Controllable CAD Model Generation

Reference 69

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VLMaterial: Procedural Material Generation with Large Vision-Language Models Inferring cad modeling sequences using zone graphs

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:04:24.855873Z

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This paper cites L3GO: Language Agents with Chain-of-3D-Thoughts for Generating Unconventional Objects.

VLMaterial: Procedural Material Generation with Large Vision-Language Models L3GO: Language Agents with Chain-of-3D-Thoughts for Generating Unconventional Objects

Reference 71

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VLMaterial: Procedural Material Generation with Large Vision-Language Models Holodeck: Language guided generation of 3d embodied ai environments

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:04:24.840357Z

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This paper cites Adversarial single-image svbrdf estimation with hybrid training.

VLMaterial: Procedural Material Generation with Large Vision-Language Models Adversarial single-image svbrdf estimation with hybrid training

Reference 73

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This paper cites Tilegen: Tileable, controllable material generation and capture.

VLMaterial: Procedural Material Generation with Large Vision-Language Models Tilegen: Tileable, controllable material generation and capture

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:04:24.809133Z

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This paper cites Photomat: A material generator learned from single flash photos.

VLMaterial: Procedural Material Generation with Large Vision-Language Models Photomat: A material generator learned from single flash photos

Reference 75

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:04:24.792128Z

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Observation f2f20b81-ef40-4089-9240-ac4b90c47446 · outbound

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VLMaterial: Procedural Material Generation with Large Vision-Language Models @esa (Ref

Reference 76

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Reference 77

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VLMaterial: Procedural Material Generation with Large Vision-Language Models A" or "B

Reference 78

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