3D Open-Vocabulary Instance Segmentation
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Benchmarks
Most implemented
PointCLIP V2: Prompting CLIP and GPT for Powerful 3D Open-world Learning
PointCLIP: Point Cloud Understanding by CLIP
Open3DIS: Open-Vocabulary 3D Instance Segmentation with 2D Mask Guidance
OVIR-3D: Open-Vocabulary 3D Instance Retrieval Without Training on 3D Data
OpenIns3D: Snap and Lookup for 3D Open-vocabulary Instance Segmentation
Papers
NVSMask3D: Hard Visual Prompting with Camera Pose Interpolation for 3D Open Vocabulary Instance Segmentation
Vision-language models (VLMs) have demonstrated impressive zero-shot transfer capabilities in image-level visual perception tasks. However, they fall short in 3D instance-level segmentation tasks that require accurate lo…
3D Instance Segmentation3D Open-Vocabulary Instance SegmentationDescriptiveInstance Segmentation+2Any3DIS: Class-Agnostic 3D Instance Segmentation by 2D Mask Tracking
Existing 3D instance segmentation methods frequently encounter issues with over-segmentation, leading to redundant and inaccurate 3D proposals that complicate downstream tasks. This challenge arises from their unsupervis…
3D Instance Segmentation3D Open-Vocabulary Instance SegmentationInstance SegmentationSegmentation+1Open-YOLO 3D: Towards Fast and Accurate Open-Vocabulary 3D Instance Segmentation
Recent works on open-vocabulary 3D instance segmentation show strong promise, but at the cost of slow inference speed and high computation requirements. This high computation cost is typically due to their heavy reliance…
2D Object Detection3D Instance Segmentation3D Open-Vocabulary Instance SegmentationInstance Segmentation+4OpenDAS: Open-Vocabulary Domain Adaptation for 2D and 3D Segmentation
Recently, Vision-Language Models (VLMs) have advanced segmentation techniques by shifting from the traditional segmentation of a closed-set of predefined object classes to open-vocabulary segmentation (OVS), allowing use…
3D Instance Segmentation3D Open-Vocabulary Instance SegmentationAutonomous DrivingDomain Adaptation+8MaskClustering: View Consensus based Mask Graph Clustering for Open-Vocabulary 3D Instance Segmentation
Open-vocabulary 3D instance segmentation is cutting-edge for its ability to segment 3D instances without predefined categories. However, progress in 3D lags behind its 2D counterpart due to limited annotated 3D data. To …
3D Instance Segmentation3D Open-Vocabulary Instance SegmentationGraph ClusteringInstance Segmentation+5Open3DIS: Open-Vocabulary 3D Instance Segmentation with 2D Mask Guidance
We introduce Open3DIS, a novel solution designed to tackle the problem of Open-Vocabulary Instance Segmentation within 3D scenes. Objects within 3D environments exhibit diverse shapes, scales, and colors, making precise …
3D Instance Segmentation3D Open-Vocabulary Instance SegmentationInstance SegmentationObject Localization+3