CVPR 2024 人体姿态估计总汇(3D人体、手语翻译和人体网格恢复/重建等)

1、Human Pose Estimation(人体姿态估计)

  • CLOAF: CoLlisiOn-Aware Human Flow
  • Meta-Point Learning and Refining for Category-Agnostic Pose Estimation
  • SurMo: Surface-based 4D Motion Modeling for Dynamic Human Rendering
    ⭐code
  • GALA: Generating Animatable Layered Assets from a Single Scan
    ⭐code
    🏠project
  • ShapeMatcher: Self-Supervised Joint Shape Canonicalization Segmentation Retrieval and Deformation自监督关节形状规范化、分割、检索和变形
  • 手部
    • Authentic Hand Avatar from a Phone Scan via Universal Hand Model
    • URHand: Universal Relightable Hands
      🏠project
    • OHTA: One-shot Hand Avatar via Data-driven Implicit Priors
      ⭐code
      🏠project
    • BOTH2Hands: Inferring 3D Hands from Both Text Prompts and Body Dynamics
      ⭐code
      🏠project
    • Reconstructing Hands in 3D with Transformers
    • 3D手部姿态估计
      • HOISDF: Constraining 3D Hand-Object Pose Estimation with Global Signed Distance Fields
        ⭐code
      • Single-to-Dual-View Adaptation for Egocentric 3D Hand Pose Estimation
        ⭐code
      • HandDiff: 3D Hand Pose Estimation with Diffusion on Image-Point Cloud
        ⭐code
    • 手部网格重建
      • Complementing Event Streams and RGB Frames for Hand Mesh Reconstruction
        ⭐code
        🏠project
      • HandBooster: Boosting 3D Hand-Mesh Reconstruction by Conditional Synthesis and Sampling of Hand-Object Interactions
        ⭐code
    • 手部网格恢复
      • A Simple Baseline for Efficient Hand Mesh Reconstruction
        ⭐code
        🏠project
      • HHMR: Holistic Hand Mesh Recovery by Enhancing the Multimodal Controllability of Graph Diffusion Models
        🏠project
    • 手部姿态跟踪
      • MS-MANO: Enabling Hand Pose Tracking with Biomechanical Constraints
    • 手部纹理重建
      • BiTT: Bi-directional Texture Reconstruction of Interacting Two Hands from a Single Image
        ⭐code
        🏠project
    • 手势合成
      • Weakly-Supervised Emotion Transition Learning for Diverse 3D Co-speech Gesture Generation
        🏠project
      • ConvoFusion: Multi-Modal Conversational Diffusion for Co-Speech Gesture Synthesis
        🏠project
      • DiffSHEG: A Diffusion-Based Approach for Real-Time Speech-driven Holistic 3D Expression and Gesture Generation
        🏠project
      • EMAGE: Towards Unified Holistic Co-Speech Gesture Generation via Expressive Masked Audio Gesture Modeling
        🏠project
  • 人体
    • LiveHPS: LiDAR-based Scene-level Human Pose and Shape Estimation in Free Environment
    • AiOS: All-in-One-Stage Expressive Human Pose and Shape Estimation
    • LPSNet: End-to-End Human Pose and Shape Estimation with Lensless Imaging
    • Dynamic Inertial Poser (DynaIP): Part-Based Motion Dynamics Learning for Enhanced Human Pose Estimation with Sparse Inertial Sensors
    • Fast Adaptation for Human Pose Estimation via Meta-Optimization
    • RAM-Avatar: Real-time Photo-Realistic Avatar from Monocular Videos with Full-body Control
      ⭐code
    • SDPose: Tokenized Pose Estimation via Circulation-Guide Self-Distillation
      ⭐code
    • 多人姿势估计
      • DiffusionRegPose: Enhancing Multi-Person Pose Estimation using a Diffusion-Based End-to-End Regression Approach
      • RTMO: Towards High-Performance One-Stage Real-Time Multi-Person Pose Estimation
    • 3D 人体
      • Person-in-WiFi 3D: End-to-End Multi-Person 3D Pose Estimation with Wi-Fi
      • Cross-view and Cross-pose Completion for 3D Human Understanding
      • TexVocab: Texture Vocabulary-conditioned Human Avatars
        🏠project
      • MonoDiff: Monocular 3D Object Detection and Pose Estimation with Diffusion Models
      • ChatPose: Chatting about 3D Human Pose
        🏠project
      • SelfPose3d: Self-Supervised Multi-Person Multi-View 3d Pose Estimation
        ⭐code
      • Attention-Propagation Network for Egocentric Heatmap to 3D Pose Lifting
      • FutureHuman3D: Forecasting Complex Long-Term 3D Human Behavior from Video Observations
        🏠project
      • FinePOSE: Fine-Grained Prompt-Driven 3D Human Pose Estimation via Diffusion Models
      • PoseIRM: Enhance 3D Human Pose Estimation on Unseen Camera Settings via Invariant Risk Minimization
      • Score-Guided Diffusion for 3D Human Recovery
        ⭐code
      • A Dual-Augmentor Framework for Domain Generalization in 3D Human Pose Estimation
      • KTPFormer: Kinematics and Trajectory Prior Knowledge-Enhanced Transformer for 3D Human Pose Estimation
        ⭐code
      • Multiple View Geometry Transformers for 3D Human Pose Estimation
        ⭐code
      • Normalizing Flows on the Product Space of SO(3) Manifolds for Probabilistic Human Pose Modeling
      • Multi-agent Long-term 3D Human Pose Forecasting via Interaction-aware Trajectory Conditioning
        ⭐code
      • EventEgo3D: 3D Human Motion Capture from Egocentric Event Streams
        🏠project
      • 3D Human Pose Perception from Egocentric Stereo Videos
        ⭐code
        🏠project
      • Forecasting of 3D Whole-body Human Poses with Grasping Objects3D 全身人体姿势
      • BodyMAP -- Jointly Predicting Body Mesh and 3D Applied Pressure Map for People in Bed
        ⭐code
        🏠project
      • MeshPose: Unifying DensePose and 3D Body Mesh Reconstruction
      • Exploring Vision Transformers for 3D Human Motion-Language Models with Motion Patches
      • Hourglass Tokenizer for Efficient Transformer-Based 3D Human Pose Estimation
        ⭐code
        👍让视频姿态Transformer变得飞速,北大提出高效三维人体姿态估计框架HoT
      • Optimizing Diffusion Noise Can Serve As Universal Motion Priors
        ⭐code
        🏠project
      • En3D: An Enhanced Generative Model for Sculpting 3D Humans from 2D Synthetic Data
        ⭐code
        🏠project
  • 人体网格恢复/重建
    • DPMesh: Exploiting Diffusion Prior for Occluded Human Mesh Recovery
    • Instance-aware Contrastive Learning for Occluded Human Mesh Reconstruction
    • PostureHMR: Posture Transformation for 3D Human Mesh Recovery
    • Probabilistic Human Mesh Estimation with Hypothesis Scoring
    • KITRO:Refining Human Mesh by 2D Clues and Kinematic-tree Rotation
      ⭐code
    • Semantic Human Mesh Reconstruction with Textures
      🏠project
    • TokenHMR: Advancing Human Mesh Recovery with a Tokenized Pose Representation
      🏠project
    • SCULPT: Shape-Conditioned Unpaired Learning of Pose-dependent Clothed and Textured Human Meshes人体网格
    • R-Cyclic Diffuser: Reductive and Cyclic Latent Diffusion for 3D Clothed Human Digitalization
    • DiffusionPoser: Real-time Human Motion Reconstruction From Arbitrary Sparse Sensors Using Autoregressive Diffusion
      🏠project
    • Synergistic Global-space Camera and Human Reconstruction from Videos
    • SiTH: Single-view Textured Human Reconstruction with Image-Conditioned Diffusion
    • SIFU: Side-view Conditioned Implicit Function for Real-world Usable Clothed Human Reconstruction
  • 动作捕捉
    • ProxyCap: Real-time Monocular Full-body Capture in World Space via Human-Centric Proxy-to-Motion Learning
      🏠project
    • Egocentric Whole-Body Motion Capture with FisheyeViT and Diffusion-Based Motion Refinement
    • Capturing Closely Interacted Two-Person Motions with Reaction Priors
      🏠project
    • Loose Inertial Poser: Motion Capture with IMU-attached Loose-Wear Jacket
      ⭐code
    • Mocap Everyone Everywhere: Lightweight Motion Capture With Smartwatches and a Head-Mounted Camera
      ⭐code
      🏠project
  • 3D人体生成
    • HumanNorm: Learning Normal Diffusion Model for High-quality and Realistic 3D Human Generation
      ⭐code
      🏠project
    • FlowMDM: Seamless Human Motion Composition with Blended Positional Encodings
      ⭐code
      🏠project人体运动合成
    • HumanRef: Single Image to 3D Human Generation via Reference-Guided Diffusion
      🏠project
    • Gaussian Shell Maps for Efficient 3D Human Generation
  • 语音驱动的人体动画
    • Emotional Speech-driven 3D Body Animation via Disentangled Latent Diffusion
      ⭐code
      🏠project
  • 文本提示的人体动画
    • HOIAnimator: Generating Text-prompt Human-object Animations using Novel Perceptive Diffusion Models
  • 手语翻译
    • LLMs are Good Sign Language Translators
    • Neural Sign Actors: A Diffusion Model for 3D Sign Language Production from Text
  • 3D姿势迁移
    • Towards Robust 3D Pose Transfer with Adversarial Learning
    • Cinematic Behavior Transfer via NeRF-based Differentiable Filming
  • 人体重建
    • MultiPly: Reconstruction of Multiple People from Monocular Video in the Wild
    • Closely Interactive Human Reconstruction with Proxemics and Physics-Guided Adaption
      ⭐code
    • Joint Reconstruction of 3D Human and Object via Contact-Based Refinement Transformer
      ⭐code
    • HiLo: Detailed and Robust 3D Clothed Human Reconstruction with High-and Low-Frequency Information of Parametric Models
    • ANIM: Accurate Neural Implicit Model for Human Reconstruction from a single RGB-D Image
    • Diffusion-FOF: Single-View Clothed Human Reconstruction via Diffusion-Based Fourier Occupancy Field
    • VS: Reconstructing Clothed 3D Human from Single Image via Vertex Shift
      ⭐code
    • WHAM: Reconstructing World-grounded Humans with Accurate 3D Motion
      🏠project3D 运动重建
  • 类别无关的姿势估计
    • ESCAPE: Encoding Super-keypoints for Category-Agnostic Pose Estimation
  • 视频估计人体动力学
    • PhysPT: Physics-aware Pretrained Transformer for Estimating Human Dynamics from Monocular Videos
  • 人体姿势回归
    • Video-Based Human Pose Regression via Decoupled Space-Time Aggregation
      ⭐code
  • 3D人体模型
    • GauHuman: Articulated Gaussian Splatting from Monocular Human Videos
      ⭐code
      🏠project
  • 人体生成
    • FairRAG: Fair Human Generation via Fair Retrieval Augmentation
    • HumanGaussian: Text-Driven 3D Human Generation with Gaussian Splatting
      🏠project文本驱动 3D 人体生成
    • Joint2Human: High-Quality 3D Human Generation via Compact Spherical Embedding of 3D Joints
      🏠project
    • MoMask: Generative Masked Modeling of 3D Human Motions
      🏠project3D 人体运动
  • 人体运动理解
    • HumMUSS: Human Motion Understanding using State Space Models
  • 人体形状
    • Distilling CLIP with Dual Guidance for Learning Discriminative Human Body Shape Representation
  • 舞蹈生成
    • DisCo: Disentangled Control for Realistic Human Dance Generation
      🏠project
    • POPDG: Popular 3D Dance Generation with PopDanceSet
    • DanceCamera3D: 3D Camera Movement Synthesis with Music and Dance
      ⭐code
    • Lodge: A Coarse to Fine Diffusion Network for Long Dance Generation Guided by the Characteristic Dance Primitives
      🏠project
    • Bidirectional Autoregessive Diffusion Model for Dance Generation

本文来自互联网用户投稿,该文观点仅代表作者本人,不代表本站立场。本站仅提供信息存储空间服务,不拥有所有权,不承担相关法律责任。如若转载,请注明出处:/a/954351.html

如若内容造成侵权/违法违规/事实不符,请联系我们进行投诉反馈qq邮箱809451989@qq.com,一经查实,立即删除!

相关文章

软件设计大致步骤

由于近期在做软件架构设计,这里总结下大致的设计流程 软件设计流程 1 首先要先写系统架构图,将该功能在整个系统的位置以及和大致的内部模块划分 2 然后写内部的结构图,讲内部的各个子系统,模块,组件之间的关系和调用…

Hadoop3.x 万字解析,从入门到剖析源码

💖 欢迎来到我的博客! 非常高兴能在这里与您相遇。在这里,您不仅能获得有趣的技术分享,还能感受到轻松愉快的氛围。无论您是编程新手,还是资深开发者,都能在这里找到属于您的知识宝藏,学习和成长…

UML系列之Rational Rose笔记九:组件图

一、新建组件图 二、组件图成品展示 三、工作台介绍 最主要的还是这个component组件; 然后还有这几个,正常是用不到的;基本的使用第四部分介绍一下: 四、基本使用示例 这些,主要是运用package还有package specifica…

RabbitMQ 高可用方案:原理、构建与运维全解析

文章目录 前言:1 集群方案的原理2 RabbitMQ高可用集群相关概念2.1 设计集群的目的2.2 集群配置方式2.3 节点类型 3 集群架构3.1 为什么使用集群3.2 集群的特点3.3 集群异常处理3.4 普通集群模式3.5 镜像集群模式 前言: 在实际生产中,RabbitM…

React Fiber框架中的Render渲染阶段——workLoop(performUnitOfWork【beginWork与completeWork】)

触发渲染过程——renderRoot renderRoot 是一个函数,用于触发渲染工作。它通常会调用并递归地执行一系列的渲染任务,直到完成整个更新过程。这个过程包括执行 Fiber 树中的 beginWork 和 completeWork,以及渲染新状态或 DOM。 function ren…

一体机cell服务器更换内存步骤

一体机cell服务器更换内存步骤: #1、确认grdidisk状态 cellcli -e list griddisk attribute name,asmmodestatus,asmdeactivationoutcome #2、offline griddisk cellcli -e alter griddisk all inactive #3、确认全部offline后进行关机操作 shutdown -h now #4、开…

uni-app编写微信小程序使用uni-popup搭配uni-popup-dialog组件在ios自动弹出键盘。

uni-popup-dialog 对话框 将 uni-popup 的type属性改为 dialog&#xff0c;并引入对应组件即可使用对话框 &#xff0c;该组件不支持单独使用 示例 <button click"open">打开弹窗</button> <uni-popup ref"popup" type"dialog"…

SYS_OP_MAP_NONNULL NULL的等值比较

无意在数据库中发现了这个操作SYS_OP_MAP_NONNULL。 SYS_OP_MAP_NONNULL应该不是数据库中的对象&#xff0c;因为在DBA_OBJECTS中根本找不到它&#xff0c;而在STANDARD和DBMS_STANDARD包中也找不到函数说明。 SQL> SELECT * 2 FROM DBA_OBJECTS 3 WHERE OBJECT_NAME…

基于Java的百度AOI数据解析与转换的实现方法

目录 前言 一、AOI数据结构简介 1、官网的实例接口 2、响应参数介绍 二、Java对AOI数据的解析 1、数据解析流程图 2、数据解析实现 3、AOI数据解析成果 三、总结 前言 在当今信息化社会&#xff0c;地理信息数据在城市规划、交通管理、商业选址等领域扮演着越来越重要的…

深度学习中的学习率调度器(scheduler)分析并作图查看各方法差异

文章目录 1. 指数衰减调度器&#xff08;Exponential Decay Scheduler&#xff09;工作原理适用场景实现示例 2. 余弦退火调度器&#xff08;Cosine Annealing Scheduler&#xff09;工作原理适用场景实现示例 3. 步长衰减调度器&#xff08;Step Decay Scheduler&#xff09;工…

IPSEC实验

实验要求 某小型企业为扩大网络规模&#xff0c;设立分公司&#xff0c;今日要求分公司能够访问主公司对应的资源&#xff0c;为此很是苦恼 为满足其跨区域访问对端网络的要求&#xff0c;现要求使用IPSEC搭建隧道使得分公司能够与主公司通讯 实验拓扑 该公司与分公司拓扑大…

[c语言日寄]精英怪:三子棋(tic-tac-toe)3命慢通[附免费源码]

哈喽盆友们&#xff0c;今天带来《c语言》游戏中[三子棋boss]速通教程&#xff01;我们的目标是一边编写博文&#xff0c;一边快速用c语言实现三子棋游戏。准备好瓜子&#xff0c;我们计时开始&#xff01; 前期规划 在速通中&#xff0c;我们必须要有清晰的前期规划&#xf…

TensorFlow DAY3: 高阶 API(Keras,Estimator)(完)

TensorFlow 作为深度学习框架&#xff0c;当然是为了帮助我们更便捷地构建神经网络。所以&#xff0c;本次实验将会了解如何使用 TensorFlow 来构建神经网络&#xff0c;并学会 TensorFlow 构建神经网络的重要函数和方法。 知识点 Keras 顺序模型Keras 函数模型Keras 模型存储…

数据结构(Java版)第九期:LinkedList与链表

专栏&#xff1a;数据结构(Java版) 个人主页&#xff1a;手握风云 目录 一、LinkedList的模拟实现 1.1. 头插法 1.2. 尾插法 1.3. 插入中间节点 1.4. 删除某个节点 1.5. 删除所有为key的元素 二、LinkedList的使用 2.1. 什么是LinkedList 2.2. LinkedList的使⽤ 三、…

ubuntu18.04开发环境下samba服务器的搭建

嵌入式linux的发展很快&#xff0c;最近准备在一个新项目上采用新一代的linux核心板&#xff0c;发现linux内核的版本已经更新到5.4以上甚至6.0以上&#xff1b;之前常用的linux内核版本是2.6.4&#xff0c;虽然在某些项目上还能用但是明显跟不上时代的步伐了&#xff0c;所以要…

【优先算法】滑动窗口--(结合例题讲解解题思路)(C++)

目录 1. 例题1&#xff1a;最大连续1的个数 1.1 解题思路 1.2代码实现 1.3 错误示范如下&#xff1a;我最开始写了一种&#xff0c;但是解答错误&#xff0c;请看&#xff0c;给大家做个参考 2. 将 x 减到 0 的最小操作数 2.1解题思路 2.2代码实现 1. 例题1&#xff…

数据结构二叉树-C语言

数据结构二叉树-C语言 1.树1.1树的概念与结构1.2树的相关术语1.3树的表示1.4树形结构实际运用场景 2.二叉树2.1概念与结构2.2特殊的二叉树2.2.1满二叉树2.2.2完全二叉树 2.3二叉树存储结构2.3.1顺序结构2.3.2链式结构 3.实现顺序结构的二叉树4.实现链式结构二叉树4.1前中后序遍…

Qt/C++进程间通信:QSharedMemory 使用详解(附演示Demo)

在开发跨进程应用程序时&#xff0c;进程间通信&#xff08;IPC&#xff09;是一个关键问题。Qt 框架提供了多种 IPC 技术&#xff0c;其中 QSharedMemory 是一种高效的共享内存方式&#xff0c;可以实现多个进程之间快速交换数据。本文将详细讲解 QSharedMemory 的概念、用法及…

【vue3项目使用 animate动画效果】

vue3项目使用 animate动画效果 前言一、下载或安装npm 安装 二、引入组件三、复制使用四、完整使用演示总结 前言 提示&#xff1a;干货篇&#xff0c;不废话&#xff0c;点赞收藏&#xff0c;用到会后好找藕~ 点击这里&#xff0c;直接看官网哦 &#x1f449; 官网地址&#…

Android 15应用适配指南:所有应用的行为变更

Android系统版本适配&#xff0c;一直是影响App上架Google Play非常重要的因素。 当前Google Play政策规定 新应用和应用更新 必须以 Android 14&#xff08;API 级别 34&#xff09;为目标平台&#xff0c;才能提交到Google Play。现有应用 必须以 Android 13&#xff08;AP…