深度学习三维人体建模最新论文、资源、数据、代码整理分享

三维人体建模作为计算机人体仿真的一个组成部分，一直是人们研究的热点之一。自交互式计算机图形学诞生之日起，就有学者不断探索计算机人体建模技术。从线框建模、实体建模、曲面建模发展到基于物理的建模，已取得重大进展。3维度人体建模在医学图像、生物医学、手势识别、视频会议、视频游戏、自动新闻播放、电影制作、材料变形、图象压缩等方面都有实际应用价值。

本资源整理了最近几年基于深度学习技术的三维人体重构（建模）相关的最新论文、资源、代码和公开数据集，分享给需要的朋友。

资源整理自网络，源地址：https://github.com/chenweikai/Body_Reconstruction_References

论文资源列表

Multi-view Reconstruction

1. Deep Learning

[ICCV19] Shape-Aware Human Pose and Shape Reconstruction Using Multi-View Images

[ICCV19] TexturePose: Supervising Human Mesh Estimation with Texture Consistency

[ICCV19] Human Mesh Recovery From Monocular Images via a Skeleton-Disentangled Representation

[ECCV18] Deep Volumetric Video From Very Sparse Multi-View Performance Capture

[ECCV18] Bodynet: Volumetric inference of 3d human body shapes

[ECCV18] Volumetric performance capture from minimal camera viewpoints

2. Shape from Silhouette

[CGF16] 3d body shapes estimation from dressed-human silhouettes

[ICCV15] Interactive visual hull refinement for specular and transparent object surface reconstruction

[HPG13] Real-time high-resolution sparse voxelization with application to image-based modeling

[TOG08] Articulated Mesh Animation from Multi-view Silhouettes [data]

[ECCV06] Carved visual hulls for image-based modeling

[3DPVT06] Visual shapes of silhouette sets

[CVIU04] Silhouette and stereo fusion for 3d object modeling

[CVPR03] Visual hull alignment and refinement across time: A 3d reconstruction algorithm combining shape-from-silhouette with stereo

[CGIT00] Image-based visual hulls

3. Multi-view Stereo

[UIST16] Holoportation: Virtual 3d teleportation in real-time

[SIGGRAPH15] High-quality streamable free-viewpoint video

[TVCG10] A point-cloud-based multiview stereo algorithm for free-viewpoint video

[SIGGRAPH08] Markerless garment capture

[CGA07] Surface capture for performance-based animation

[TVC05] Scalable 3d video of dynamic scenes

4. Photometric Stereo

[ICCV11] Shading-based dynamic shape refinement from multi-view video under general illumination

[SIGGRAPH_Asia09] Dynamic shape capture using multi-view photometric stereo

5. Template based Approaches

[TOG13] On-set performance capture of multiple actors with a stereo camera

[ECCV12] Full body performance capture under uncontrolled and varying illumination: A shading-based approach

[CVPR11] Markerless motion capture of interacting characters using multi-view image segmentation

[SIGGRAPH_Asia10] Video-based reconstruction of animatable human characters

[SIGGRAPH08] Performance capture from sparse multi-view video

[CVPR09] Motion capture using joint skeleton tracking and surface estimation

[CVPR08] Robust fusion of dynamic shape and normal capture for high-quality reconstruction of time-varying geometry

6. Parametric Models

[ICCV19] Learning to Reconstruct 3D Human Pose and Shape via Model-fitting in the Loop

[CVPR19] Expressive Body Capture: 3D Hands, Face, and Body from a Single Image

[CVPR18 Oral] Total Capture: A 3D Deformation Model for Tracking Faces, Hands, and Bodies

[CVPR18] End-to-end recovery of human shape and pose [code and data]

[CVPR17] Unite the people: Closing the loop between 3d and 2d human representations [project page(code and data)]

[BMVC17] Indirect deep structured learning for 3D human body shape and pose prediction

[ECCV16] Keep it SMPL: Automatic estimation of 3d human pose and shape from a single image[code]

[SIGGRAPH_Asia15] SMPL: A skinned multi-person linear model

[TOG14] Mosh: Motion and shape capture from sparse markers

[CVPR10] Multilinear pose and body shape estimation of dressed subjects from image sets

[ICCV09] Estimating Human Shape and Pose from a Single Image

[CVPR07] Detailed human shape and pose from images

[SIGGRAPH05] SCAPE: shape completion and animation of people

[CVIU01] Tracking and modeling people in video sequences

Single-view Reconstruction

[ICCV19] Tex2Shape: Detailed Full Human Body Geometry From a Single Image

[ICCV19] PIFu: Pixel-Aligned Implicit Function for High-Resolution Clothed Human Digitization

[ICCV19] Moulding Humans: Non-parametric 3D Human Shape Estimation from Single Images

[ICCV19] 3DPeople: Modeling the Geometry of Dressed Humans

[ICCV19] DeepHuman: 3D Human Reconstruction From a Single Image

[ICCV19] A Neural Network for Detailed Human Depth Estimation From a Single Image

[ICCV19] Delving Deep Into Hybrid Annotations for 3D Human Recovery in the Wild

[CVPR19 Oral] SiCloPe: Silhouette-Based Clothed People

[CVPR19 Oral] Convolutional Mesh Regression for Single-Image Human Shape Reconstruction

[CVPR19 Oral] Detailed Human Shape Estimation from a Single Image by Hierarchical mesh deformation

[CVPR19] Learning to Reconstruct People in Clothing from a Single RGB Camera

[CVPR19] SimulCap: Single-View Human Performance Capture with Cloth Simulation

[CVPR19] Photo Wake-Up: 3D Character Animation from a Single Photo

[TOG19] LiveCap: Real-time Human Performance Capture from Monocular Video

[CVPR18] End-to-end recovery of human shape and pose [code and data]

[3DV18] Neural Body Fitting: Unifying Deep Learning and Model-Based Human Pose

[ICCV09] Estimating Human Shape and Pose from a Single Image

4D-Scans

[SIGGRAPH17] ClothCap: seamless 4D clothing capture and retargeting

Datasets and Code

MPI datasets and code

BUFF

Dynamic FAUST

CVSSP3D

Mixamo

Human3.6M

3DPeople

THuman

RenderPeople

CLOTH3D(not released yet)

Multi-Garment Net

往期精品内容推荐

NLP新书-《自然语言处理表示学习》免费书分享

CMU 2020年最新-《深度学习入门》课程视频及资料分享

斯坦福大学新课CS224W-2019-图网络机器学习算法-视频及ppt资源分享

MIT人工智能实验室：如何做人工智能相关研究一些建议

Andrew Ng访谈-深度学习、教育与现实世界的AI

2020年AI计算发展方向前瞻

Siamese网络大规模数据降维

Geoffrey Hinton-堆叠胶囊自编码器

Yoshua Bengio-用深度学习实现对世界的合成理解

用BERT解决各类NLP问题-Yuanhao Wu

微信小程序、小游戏，组件化开发框架wepy开发资源汇总分享

深度学习三维人体建模最新论文、资源、数据、代码整理分享相关推荐

【深度学习】深度学习三维人体建模最新论文、资源、数据、代码整理分享
三维人体建模作为计算机人体仿真的一个组成部分,一直是人们研究的热点之一.自交互式计算机图形学诞生之日起,就有学者不断探索计算机人体建模技术.从线框建模.实体建模.曲面建模发展到基于物理的建模,已取得重 ...
【深度学习】最新「深度学习社区发现」综述论文，174篇文献概述六大类方法(含Github资源)...
| 作者:Xing Su | 单位:麦考瑞大学 | 研究方向:人工智能与数据科学社区发现能够揭示各类网络中成员的特征与联系,在网络分析中具有重要意义.近年来,深度学习技术在发现社区结构时,以处理高维 ...
最新「深度学习社区发现」综述论文，174篇文献概述六大类方法(含Github资源)...
嘿,记得给"机器学习与推荐算法"添加星标 | 作者:Xing Su | 单位:麦考瑞大学 | 研究方向:人工智能与数据科学社区发现能够揭示各类网络中成员的特征与联系,在网络分析中 ...
【深度学习】CVPR 2021 全部论文链接公布！最新1660篇论文合集！附下载链接
大家好呀,CVPR 官方公布了接受的所有论文的链接,我最近几天上班摸鱼把 CVPR2021 的全部论文下载下来了.踩了不少坑,如果对你有所帮助,欢迎分享一下,谢谢啦! 文末附带爬虫教程. CVPR20 ...
深度学习助力网络科学：基于深度学习的社区发现最新综述
来源:AMiner科技论文题目: A Comprehensive Survey on Community Detection with Deep Learning 论文网址: https://arx ...
[论文总结] 深度学习在农业领域应用论文笔记5
深度学习在农业领域应用论文笔记5 1. Channel pruned YOLO V5s-based deep learning approach for rapid and accurate appl ...
基于深度学习实现行人跟踪相关论文总结
基于深度学习实现行人跟踪相关论文总结 [1] Recurrent YOLO and LSTM-based IR single pedestrian tracking 本文提出了一种基于空间监督的递归卷 ...
手机上的机器学习资源！Github标星过万的吴恩达机器学习、深度学习课程笔记，《统计学习方法》代码实现！...
吴恩达机器学习.深度学习,李航老师<统计学习方法>.CS229数学基础等,可以说是机器学习入门的宝典.本文推荐一个网站"机器学习初学者",把以上资源的笔记.代码实现做成 ...
深度学习之人体姿态估计在医疗领域的作用
深度学习之人体姿态估计在医疗中的应用摘要目前基于深度学习的人体姿态估计的方法在一定的训练集上都取得不错的效果,将人体姿态估计应用于医疗当中有利于目前医疗体系的进步和医疗手段的改进.本文将介绍人体姿 ...

深度学习三维人体建模最新论文、资源、数据、代码整理分享

深度学习三维人体建模最新论文、资源、数据、代码整理分享相关推荐

最新文章

热门文章