找回密码
 To register

QQ登录

只需一步,快速开始

扫一扫,访问微社区

Titlebook: Computational Visual Media; First International Shi-Min Hu,Ralph R. Martin Conference proceedings 2012 Springer-Verlag Berlin Heidelberg 2

[复制链接]
楼主: MASS
发表于 2025-3-23 12:41:41 | 显示全部楼层
发表于 2025-3-23 15:12:07 | 显示全部楼层
https://doi.org/10.1007/978-0-387-75146-7stablished automatically. Finally, we optimize the parameters of the deformable model in an iterative way, and then obtain the clothed and naked 3D shapes of the person simultaneously. The experimental results on real images demonstrate the effectiveness of our method.
发表于 2025-3-23 19:45:32 | 显示全部楼层
Asymptotics for Random Permanents, textures at voxel level and produces optimized solid textures using our representation. This avoids significant amount of unnecessary computation and storage with comparable quality to the state of the art.
发表于 2025-3-23 23:29:01 | 显示全部楼层
Error Estimation and Adaptivity,lly, we adjust surface normals of the original shape as the corresponding final normals of the manipulated surface. The experimental results show that our proposed algorithm can adjust the shading of the original shape and thus for improving its shape depiction.
发表于 2025-3-24 04:21:00 | 显示全部楼层
发表于 2025-3-24 07:01:06 | 显示全部楼层
发表于 2025-3-24 11:23:13 | 显示全部楼层
发表于 2025-3-24 17:05:22 | 显示全部楼层
Clothed and Naked Human Shapes Estimation from a Single Imagestablished automatically. Finally, we optimize the parameters of the deformable model in an iterative way, and then obtain the clothed and naked 3D shapes of the person simultaneously. The experimental results on real images demonstrate the effectiveness of our method.
发表于 2025-3-24 20:27:58 | 显示全部楼层
Efficient Solid Texture Synthesis Using Gradient Solids textures at voxel level and produces optimized solid textures using our representation. This avoids significant amount of unnecessary computation and storage with comparable quality to the state of the art.
发表于 2025-3-25 01:25:45 | 显示全部楼层
 关于派博传思  派博传思旗下网站  友情链接
派博传思介绍 公司地理位置 论文服务流程 影响因子官网 SITEMAP 大讲堂 北京大学 Oxford Uni. Harvard Uni.
发展历史沿革 期刊点评 投稿经验总结 SCIENCEGARD IMPACTFACTOR 派博系数 清华大学 Yale Uni. Stanford Uni.
|Archiver|手机版|小黑屋| 派博传思国际 ( 京公网安备110108008328) GMT+8, 2025-6-26 10:38
Copyright © 2001-2015 派博传思   京公网安备110108008328 版权所有 All rights reserved
快速回复 返回顶部 返回列表