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New MaPa method generates 3D materials from text descriptions

By PulseAugur Editorial · [1 sources] ·

Researchers have developed MaPa, a novel method for generating photorealistic materials for 3D shapes based on text descriptions. Unlike previous approaches that create texture maps, MaPa generates procedural material graphs, offering greater flexibility for editing and higher-quality rendering. The system leverages a pre-trained 2D diffusion model to bridge the gap between text and material graphs by synthesizing 2D images aligned with mesh segments. These images then initialize material graph parameters, which are further refined using a differentiable rendering module to match the text prompts. AI

IMPACT Enables more intuitive and flexible creation of 3D assets for gaming, design, and virtual environments.

RANK_REASON The cluster describes a research paper detailing a new method for generating materials for 3D shapes. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.CV →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

New MaPa method generates 3D materials from text descriptions

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The cluster describes a research paper detailing a new method for generating materials for 3D shapes. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. arXiv cs.CV TIER_1 English(EN) · Shangzhan Zhang, Sida Peng, Tao Xu, Yuanbo Yang, Tianrun Chen, Nan Xue, Yujun Shen, Hujun Bao, Ruizhen Hu, Xiaowei Zhou ·

    MaPa: Text-driven Photorealistic Material Painting for 3D Shapes

    arXiv:2404.17569v4 Announce Type: replace Abstract: This paper aims to generate materials for 3D meshes from text descriptions. Unlike existing methods that synthesize texture maps, we propose to generate segment-wise procedural material graphs as the appearance representation, w…

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