Garfield 发表于 2025-3-21 19:19:14
书目名称Computer Vision – ACCV 2020影响因子(影响力)<br> http://impactfactor.cn/if/?ISSN=BK0234131<br><br> <br><br>书目名称Computer Vision – ACCV 2020影响因子(影响力)学科排名<br> http://impactfactor.cn/ifr/?ISSN=BK0234131<br><br> <br><br>书目名称Computer Vision – ACCV 2020网络公开度<br> http://impactfactor.cn/at/?ISSN=BK0234131<br><br> <br><br>书目名称Computer Vision – ACCV 2020网络公开度学科排名<br> http://impactfactor.cn/atr/?ISSN=BK0234131<br><br> <br><br>书目名称Computer Vision – ACCV 2020被引频次<br> http://impactfactor.cn/tc/?ISSN=BK0234131<br><br> <br><br>书目名称Computer Vision – ACCV 2020被引频次学科排名<br> http://impactfactor.cn/tcr/?ISSN=BK0234131<br><br> <br><br>书目名称Computer Vision – ACCV 2020年度引用<br> http://impactfactor.cn/ii/?ISSN=BK0234131<br><br> <br><br>书目名称Computer Vision – ACCV 2020年度引用学科排名<br> http://impactfactor.cn/iir/?ISSN=BK0234131<br><br> <br><br>书目名称Computer Vision – ACCV 2020读者反馈<br> http://impactfactor.cn/5y/?ISSN=BK0234131<br><br> <br><br>书目名称Computer Vision – ACCV 2020读者反馈学科排名<br> http://impactfactor.cn/5yr/?ISSN=BK0234131<br><br> <br><br>lactic 发表于 2025-3-21 20:49:42
http://reply.papertrans.cn/24/2342/234131/234131_2.pngadhesive 发表于 2025-3-22 02:54:11
Multi-view Consistency Loss for Improved Single-Image 3D Reconstruction of Clothed Peopleed to allows transfer to reconstruction from real images of people. Comprehensive comparative performance evaluation on both synthetic and real images of people demonstrates that the proposed method significantly outperforms the previous state-of-the-art learning-based single image 3D human shape es刺耳 发表于 2025-3-22 05:20:24
http://reply.papertrans.cn/24/2342/234131/234131_4.png直觉没有 发表于 2025-3-22 09:49:45
http://reply.papertrans.cn/24/2342/234131/234131_5.pngindenture 发表于 2025-3-22 15:33:20
http://reply.papertrans.cn/24/2342/234131/234131_6.pngindenture 发表于 2025-3-22 19:15:27
http://reply.papertrans.cn/24/2342/234131/234131_7.pngPhysiatrist 发表于 2025-3-22 21:23:52
http://reply.papertrans.cn/24/2342/234131/234131_8.png饮料 发表于 2025-3-23 02:18:41
AFN: Attentional Feedback Network Based 3D Terrain Super-Resolutionroduce the terrain realistically. We compare the proposed architecture with existing state-of-the-art DEM super-resolution methods and show that the proposed architecture outperforms enhancing the resolution of input LRDEM accurately and in a realistic manner.羊齿 发表于 2025-3-23 08:58:58
http://reply.papertrans.cn/24/2342/234131/234131_10.png