CVPR 2021 点云方向相关文章

点云(Point Cloud)

 DeepI2P: Image-to-Point Cloud Registration via Deep Classification(通过深度分类的图像到点云配准)
paper | code
 FESTA: Flow Estimation via Spatial-Temporal Attention for Scene Point Clouds(FESTA:场景点云通过时空注意进行光流估计)
paper
 

Denoise and Contrast for Category Agnostic Shape Completion(类别不可知形状完成的消噪和对比度)
paper
 

Panoptic-PolarNet: Proposal-free LiDAR Point Cloud Panoptic Segmentation(无提案的LiDAR点云全景分割)
paper
 

ReAgent: Point Cloud Registration using Imitation and Reinforcement Learning(ReAgent:使用模仿和强化学习进行点云配准)
paper
 

Equivariant Point Network for 3D Point Cloud Analysis(等变点网络进行3D点云分析)
paper
 

PAConv: Position Adaptive Convolution with Dynamic Kernel Assembling on Point Clouds(PAConv:点云上具有动态内核组装的位置自适应卷积)
paper | code
 

Skeleton Merger: an Unsupervised Aligned Keypoint Detector(骨架合并:无监督的对准关键点检测器)
paper | code
 

Cycle4Completion: Unpaired Point Cloud Completion using Cycle Transformation with Missing Region Coding(使用缺失区域编码的循环变换完成不成对的点云)
paper
 

Semantic Segmentation for Real Point Cloud Scenes via Bilateral Augmentation and Adaptive Fusion(通过双边扩充和自适应融合对实点云场景进行语义分割)
paper
 

How Privacy-Preserving are Line Clouds? Recovering Scene Details from 3D Lines(线云如何保护隐私? 从3D线中恢复场景详细信息)
paper | code
 

PointDSC: Robust Point Cloud Registration using Deep Spatial Consistency(使用深度空间一致性进行稳健的点云配准)
paper | code
 

Robust Point Cloud Registration Framework Based on Deep Graph Matching(基于深度图匹配的鲁棒点云配准框架)
paper | code
 

TPCN: Temporal Point Cloud Networks for Motion Forecasting(面向运动预测的时态点云网络) paper | code

PointGuard: Provably Robust 3D Point Cloud Classification(可证明稳健的三维点云分类)
paper
 

Towards Semantic Segmentation of Urban-Scale 3D Point Clouds: A Dataset, Benchmarks and Challenges(走向城市规模3D点云的语义分割:数据集,基准和挑战)
paper | code
 

SpinNet: Learning a General Surface Descriptor for 3D Point Cloud Registration(SpinNet:学习用于3D点云配准的通用表面描述符)
paper | code
 

MultiBodySync: Multi-Body Segmentation and Motion Estimation via 3D Scan Synchronization(通过3D扫描同步进行多主体分割和运动估计)
paper | code
 

Diffusion Probabilistic Models for 3D Point Cloud Generation(三维点云生成的扩散概率模型)
paper | code
 

Style-based Point Generator with Adversarial Rendering for Point Cloud Completion(用于点云补全的对抗性渲染基于样式的点生成器)
paper

PREDATOR: Registration of 3D Point Clouds with Low Overlap(预测器:低重叠的3D点云的配准)
paper | code | project
 

三维重建(3D Reconstruction)

Global Transport for Fluid Reconstruction with Learned Self-Supervision(具有自学指导的流体重建的全球运输)
paper | code
 

Fully Understanding Generic Objects: Modeling, Segmentation, and Reconstruction(全面了解通用对象:建模,分段和重构)
paper
 

Reconstructing 3D Human Pose by Watching Humans in the Mirror(通过照镜子中的人来重建3D人的姿势)
paper | project
 

Fostering Generalization in Single-view 3D Reconstruction by Learning a Hierarchy of Local and Global Shape Priors(通过学习局部和全局形状先验的层次结构,促进单视图3D重构中的泛化)
paper
 

NeuralRecon: Real-Time Coherent 3D Reconstruction from Monocular Video(单目视频的实时相干3D重建)
paper | project
 

Learning Parallel Dense Correspondence from Spatio-Temporal Descriptors for Efficient and Robust 4D Reconstruction(从时空描述符中学习并行密集对应,以进行有效且鲁棒的4D重建)
paper | code
 

POSEFusion: Pose-guided Selective Fusion for Single-view Human Volumetric Capture(用于单视图人体体积捕获的姿势引导选择性融合)
paper | project
 

Deep Implicit Moving Least-Squares Functions for 3D Reconstruction(用于3D重构的深层隐式移动最小二乘函数)
paper | code
 

Model-based 3D Hand Reconstruction via Self-Supervised Learning(通过自我监督学习进行基于模型的3D手重建)
paper
 

3DCaricShop: A Dataset and A Baseline Method for Single-view 3D Caricature Face Reconstruction(单视图3D漫画面部重建的数据集和基线方法)
paper | project
 

Learning Compositional Representation for 4D Captures with Neural ODE(使用神经ODE学习4D捕捉的合成表示)
paper
 

SMPLicit: Topology-aware Generative Model for Clothed People(穿衣服的人的拓扑感知生成模型)
paper | code
 

PCLs: Geometry-aware Neural Reconstruction of 3D Pose with Perspective Crop Layers(具有透视作物层的3D姿势的几何感知神经重建)
paper

你可能感兴趣的:(文章阅读)