SF3D:利用 UV 解包和照明解缠实现稳定的快速 3D 网格重构

Mark Boss, Zixuan Huang, Aaryaman Vasishta, Varun Jampani
{"title":"SF3D:利用 UV 解包和照明解缠实现稳定的快速 3D 网格重构","authors":"Mark Boss, Zixuan Huang, Aaryaman Vasishta, Varun Jampani","doi":"arxiv-2408.00653","DOIUrl":null,"url":null,"abstract":"We present SF3D, a novel method for rapid and high-quality textured object\nmesh reconstruction from a single image in just 0.5 seconds. Unlike most\nexisting approaches, SF3D is explicitly trained for mesh generation,\nincorporating a fast UV unwrapping technique that enables swift texture\ngeneration rather than relying on vertex colors. The method also learns to\npredict material parameters and normal maps to enhance the visual quality of\nthe reconstructed 3D meshes. Furthermore, SF3D integrates a delighting step to\neffectively remove low-frequency illumination effects, ensuring that the\nreconstructed meshes can be easily used in novel illumination conditions.\nExperiments demonstrate the superior performance of SF3D over the existing\ntechniques. Project page: https://stable-fast-3d.github.io","PeriodicalId":501174,"journal":{"name":"arXiv - CS - Graphics","volume":"110 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"SF3D: Stable Fast 3D Mesh Reconstruction with UV-unwrapping and Illumination Disentanglement\",\"authors\":\"Mark Boss, Zixuan Huang, Aaryaman Vasishta, Varun Jampani\",\"doi\":\"arxiv-2408.00653\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We present SF3D, a novel method for rapid and high-quality textured object\\nmesh reconstruction from a single image in just 0.5 seconds. Unlike most\\nexisting approaches, SF3D is explicitly trained for mesh generation,\\nincorporating a fast UV unwrapping technique that enables swift texture\\ngeneration rather than relying on vertex colors. The method also learns to\\npredict material parameters and normal maps to enhance the visual quality of\\nthe reconstructed 3D meshes. Furthermore, SF3D integrates a delighting step to\\neffectively remove low-frequency illumination effects, ensuring that the\\nreconstructed meshes can be easily used in novel illumination conditions.\\nExperiments demonstrate the superior performance of SF3D over the existing\\ntechniques. Project page: https://stable-fast-3d.github.io\",\"PeriodicalId\":501174,\"journal\":{\"name\":\"arXiv - CS - Graphics\",\"volume\":\"110 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-08-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"arXiv - CS - Graphics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/arxiv-2408.00653\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"arXiv - CS - Graphics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/arxiv-2408.00653","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

我们介绍的 SF3D 是一种新型方法,可在 0.5 秒内从单张图像快速、高质量地重建物体纹理网格。与大多数现有方法不同的是,SF3D 在生成网格时进行了明确的训练,并结合了快速 UV 解包技术,从而能够快速生成纹理,而不是依赖顶点颜色。该方法还能学习预测材料参数和法线贴图,以提高重建三维网格的视觉质量。此外,SF3D 还集成了一个愉悦步骤,以有效消除低频光照效应,确保所构建的网格能在新的光照条件下轻松使用。项目页面: https://stable-fast-3d.github.io
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
SF3D: Stable Fast 3D Mesh Reconstruction with UV-unwrapping and Illumination Disentanglement
We present SF3D, a novel method for rapid and high-quality textured object mesh reconstruction from a single image in just 0.5 seconds. Unlike most existing approaches, SF3D is explicitly trained for mesh generation, incorporating a fast UV unwrapping technique that enables swift texture generation rather than relying on vertex colors. The method also learns to predict material parameters and normal maps to enhance the visual quality of the reconstructed 3D meshes. Furthermore, SF3D integrates a delighting step to effectively remove low-frequency illumination effects, ensuring that the reconstructed meshes can be easily used in novel illumination conditions. Experiments demonstrate the superior performance of SF3D over the existing techniques. Project page: https://stable-fast-3d.github.io
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
GaussianHeads: End-to-End Learning of Drivable Gaussian Head Avatars from Coarse-to-fine Representations A Missing Data Imputation GAN for Character Sprite Generation Visualizing Temporal Topic Embeddings with a Compass Playground v3: Improving Text-to-Image Alignment with Deep-Fusion Large Language Models Phys3DGS: Physically-based 3D Gaussian Splatting for Inverse Rendering
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1