【论文精读】Occupancy Networks: Learning 3D Reconstruction in Function Space - 代码天地

【论文精读】Occupancy Networks: Learning 3D Reconstruction in Function Space

企业开发 2023-09-09 19:19:07 阅读次数: 0

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转载自blog.csdn.net/weixin_43693967/article/details/127428578

【论文精读】Occupancy Networks: Learning 3D Reconstruction in Function Space

【论文精读】CVRecon: Rethinking 3D Geometric Feature Learning For Neural Reconstruction

【论文阅读】Learning Spatiotemporal Features with 3D Convolutional Networks

论文笔记之C3D（Learning Spatiotemporal Features with 3D Convolutional Networks）

Accurate 3D Face Reconstruction with Weakly-Supervised Learning

【论文阅读】Learning Spatio-Temporal Features with 3D Residual Networks for Action Recognition

视频理解论文阅读笔记——Learning Spatiotemporal Features With 3D Convolutional Networks

论文学习：Learning spatio-temporal features with 3D convolutional networks

【论文阅读】Parametrized Deep Q-Networks Learning: RL with Discrete-Continuous Hybrid Action Space

Learning Efficient Point Cloud Generation for Dense 3D Object Reconstruction(中文翻译-机翻)

《Graph Representation Learning》【3】——Neighborhood Reconstruction Methods

3D Face Reconstruction

论文精读：Semantic Graph Convolutional Networks for 3D Human Pose Regression

【论文精读】MVSDF: Learning Signed Distance Field for Multi-view Surface Reconstruction

Machine Learning - Neural Networks Learning: Cost Function and Backpropagation

CVPR 2020——Learning to Segment 3D Point Clouds in 2D Image Space

C3D - Learning Spatiotemporal Features with 3D Convolutional Networks

论文精读:PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation

3D GAN：Learning a Probabilistic Latent Space of Object Shapes via 3D Generative-Adversarial Modeling

《Joint 3D Face Reconstruction and Dense Alignment with Position Map Regression Network》论文学习笔记

论文阅读：Joint 3D Face Reconstruction and Dense Alignment with Position Map Regression Network

论文阅读：SLAM and 3D Semantic Reconstruction Based on the Fusion of Lidar and Monocular Vision

论文阅读：3D Morphable Models as Spatial Transformer Networks

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深度学习文章阅读4--Learning Spatiotemporal Features with 3D Convolutional Networks

Camera Calibration and 3D Reconstruction

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【点云识别】Learning to Segment 3D Point Clouds in 2D Image Space (CVPR 2020)

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