Box2Mask: Weakly Supervised 3D Semantic Instance Segmentation Using Bounding Boxes
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Updated
Nov 1, 2022 - Python
Box2Mask: Weakly Supervised 3D Semantic Instance Segmentation Using Bounding Boxes
🔥GrowSP in PyTorch (CVPR 2023)
Official implementation of CVPR23 paper "Diffusion-based Generation, Optimization, and Planning in 3D Scenes"
Implementation of CVPR'23: Learning 3D Scene Priors with 2D Supervision
[NeurIPS2021] Learning Distilled Collaboration Graph for Multi-Agent Perception
[CVPR 2023] Unsupervised Continual Semantic Adaptation through Neural Rendering
[CVPR'23] OpenScene: 3D Scene Understanding with Open Vocabularies
SSCBench: A Large-Scale 3D Semantic Scene Completion Benchmark for Autonomous Driving
Occ4cast: LiDAR-based 4D Occupancy Completion and Forecasting
Official implementation of the NeurIPS22 paper "HUMANISE: Language-conditioned Human Motion Generation in 3D Scenes"
Official PyTorch implementation of VoxFormer [CVPR 2023 Highlight]
An Efficient, Flexible, and General deep learning framework that retains minimal.
SAMPro3D: Locating SAM Prompts in 3D for Zero-Shot Scene Segmentation
[arXiv 2023] 3D Small Object Detection with Dynamic Spatial Pruning
[CVPR 2024] Memory-based Adapters for Online 3D Scene Perception
[CVPR 2024] Symphonies (Scene-from-Insts): Symphonize 3D Semantic Scene Completion with Contextual Instance Queries
🔄 Extract a scene from Unity3D and convert it to a format compatible with OpenScene
[Submission] A Toolkit for Outdoor 3D Dense Cap. Task with New Dataset and Baseline.
A Multi-modal Large-scale Scene Dataset and A Versatile Toolchain for Scene Prediction
An SDK for multi-agent collaborative perception.
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