SOTAVerified

Zero-Shot Transfer 3D Point Cloud Classification

Papers

Showing 110 of 11 papers

TitleStatusHype
OpenDlign: Open-World Point Cloud Understanding with Depth-Aligned ImagesCode1
ShapeLLM: Universal 3D Object Understanding for Embodied InteractionCode3
Sculpting Holistic 3D Representation in Contrastive Language-Image-3D Pre-trainingCode1
Uni3D: Exploring Unified 3D Representation at ScaleCode2
ViT-Lens: Initiating Omni-Modal Exploration through 3D InsightsCode1
OpenShape: Scaling Up 3D Shape Representation Towards Open-World UnderstandingCode2
Contrast with Reconstruct: Contrastive 3D Representation Learning Guided by Generative PretrainingCode1
ULIP: Learning a Unified Representation of Language, Images, and Point Clouds for 3D UnderstandingCode2
PointCLIP V2: Prompting CLIP and GPT for Powerful 3D Open-world LearningCode2
CLIP2Point: Transfer CLIP to Point Cloud Classification with Image-Depth Pre-trainingCode1
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