GitHub is where people build software. More than 100 million people use GitHub to discover, fork, and contribute to over 420 million projects.
State-of-the-art 2D and 3D Face Analysis Project. Contribute to deepinsight/insightface development by creating an account on GitHub.
使用Paddle对 ECCV2020 的NeRF论文进行复现,NeRF作为3D视觉里的一个新范式,已经有大量的工作对其进行改进,但学习后续的工作离不开对NeRF本身深入的理解 - 飞桨AI Studio
Yinghao Xu of The Chinese University of Hong Kong, and Qianqian Wang of Cornell University introduced a powerful approach named Neural Body that employs sparse cameras to capture the poses of dynamic human body and renders high-quality 3D view as well as 3D scene of the original...
github链接:https://sudo-ai-3d.github.io/One2345plus_page/ Demo链接:https://www.sudo.ai/3d...
在最近的AIGC社区中,3D视觉生成领域越来越受到广泛的关注,以神经辐射场(NeRFs)为基础的深度渲染网络向大家展示了非常惊艳的三维效果。可是,NeRFs需要大量的多视角图片作为监督,因而从单张2D图像进行3D重建依然具有极大的挑战性。本文介绍一篇来自KAUST、牛津大学VGG组和Snapchat合作完成的工作 Magic123(One Image to High...
最近的一篇工作: DFA3D: 3D Deformable Attention For 2D-to-3D Feature Lifting 我们提出3D Deformable Attention (DFA3D),一种全新的将2D特征拉升到3D空间的基础算子。和现有的基于Lift-Splat的方法以及基于2D注意力机制的方法相比,我们的方法即能受益于Transformer的多层优化能力来解决Lift-Splat中的one-pass问题又...
(映维网 2018年06月19日)Facebook AI Reaserch(FAIR)今天正式开源了DensePose,一项将2D RGB图像的所有人类像素实时映射至3D模型的技术。 最近在人类认识方面的研究主要是定位一组零散分布的关节,如手腕或肘部。这对手势或动作识别等应用程序而言可能已经足够,但这减少了图像解释。Facebook则希望更进一步,比如说通过一...
GitHub is where people build software. More than 100 million people use GitHub to discover, fork, and contribute to over 420 million projects.
Learning to Regress Bodies from Images using Differentiable Semantic Rendering. Sai Kumar Dwivedi, Nikos Athanasiou, Muhammed Kocabas, Michael J. Black. ICCV 2021. [PDF] [Project] imGHUM: Implicit Generative Models of 3D Human Shape and Articulated Pose. Thiemo Alldieck, Hongyi Xu, Cristian Sm...