[CVPR2024] OneFormer3D: One Transformer for Unified Point Cloud Segmentation
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Updated
Sep 12, 2024 - Python
[CVPR2024] OneFormer3D: One Transformer for Unified Point Cloud Segmentation
UniDet3D: Multi-dataset Indoor 3D Object Detection
[CVPR 2024] Memory-based Adapters for Online 3D Scene Perception
[ECCV 2024] 3D Small Object Detection with Dynamic Spatial Pruning
Pytorch framework for doing deep learning on point clouds.
[CVPR2022] Point Cloud Pre-training with Natural 3D Structures
Official code of "Segment any 3D Object with Language"
Point-NeRF: Point-based Neural Radiance Fields
[CVPR 2022 Oral] SoftGroup for Instance Segmentation on 3D Point Clouds
[CVPR'23] OpenScene: 3D Scene Understanding with Open Vocabularies
[WACV'24] TD3D: Top-Down Beats Bottom-Up in 3D Instance Segmentation
[CVPR 2023] Unsupervised Continual Semantic Adaptation through Neural Rendering
[ECCV2022] FCAF3D: Fully Convolutional Anchor-Free 3D Object Detection
[WACV2022] ImVoxelNet: Image to Voxels Projection for Monocular and Multi-View General-Purpose 3D Object Detection
LargeKernel3D: Scaling up Kernels in 3D Sparse CNNs (CVPR 2023)
[ECCV 2022] SimpleRecon: 3D Reconstruction Without 3D Convolutions
4D Spatio-Temporal Semantic Segmentation on a 3D video (a sequence of 3D scans)
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.
[ECCV'20] Patch-match and Plane-regularization for Unsupervised Indoor Depth Estimation
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