#计算机科学#Pytorch framework for doing deep learning on point clouds.
#计算机科学#PointCNN: Convolution On X-Transformed Points (NeurIPS 2018)
[ECCV 2022] SimpleRecon: 3D Reconstruction Without 3D Convolutions
Point-NeRF: Point-based Neural Radiance Fields
#大语言模型#[CVPR'23] OpenScene: 3D Scene Understanding with Open Vocabularies
[CVPR2024] OneFormer3D: One Transformer for Unified Point Cloud Segmentation
[CVPR 2022 Oral] SoftGroup for Instance Segmentation on 3D Point Clouds
[CVPR 2022 Oral] Official implementation for "Surface Representation for Point Clouds"
4D Spatio-Temporal Semantic Segmentation on a 3D video (a sequence of 3D scans)
[WACV2022] ImVoxelNet: Image to Voxels Projection for Monocular and Multi-View General-Purpose 3D Object Detection
[ECCV2022] FCAF3D: Fully Convolutional Anchor-Free 3D Object Detection
LargeKernel3D: Scaling up Kernels in 3D Sparse CNNs (CVPR 2023)
Grid-GCN for Fast and Scalable Point Cloud Learning
[ICIP2023] TR3D: Towards Real-Time Indoor 3D Object Detection
[ECCV'20] Patch-match and Plane-regularization for Unsupervised Indoor Depth Estimation
[WACV'24] TD3D: Top-Down Beats Bottom-Up in 3D Instance Segmentation
CVPR 2020, "FPConv: Learning Local Flattening for Point Convolution"
#计算机科学#FrameNet: Learning Local Canonical Frames of 3D Surfaces from a Single RGB Image
#计算机科学#This work is based on our paper "DualConvMesh-Net: Joint Geodesic and Euclidean Convolutions on 3D Meshes", which appeared at the IEEE Conference On Computer Vision And Pattern Recognition (CVPR) 2020...
[CVPR 2024] Memory-based Adapters for Online 3D Scene Perception