paper_3d__utonia
CommunityOne encoder for all point clouds across domains.
AuthorGonglitian
Version1.0.0
Installs0
System Documentation
What problem does it solve?
Enable unified learning and deployment of 3D representations across diverse point cloud domains with a single encoder, reducing model fragmentation and maintenance.
Core Features & Use Cases
- Unified cross-domain encoding with a five-stage PTv3 backbone
- Domain-aware data normalization and grid sampling for cross-domain alignment
- Serialization + sparse convolution for efficient 3D representation learning
- Transferable features for segmentation, robotics manipulation, and multimodal reasoning
- Example use: apply the encoder to indoor scans, outdoor LiDAR, and CAD models to obtain a shared feature space
Quick Start
Install the Utonia encoder and run a sample inference on indoor data using the standard transform.
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 Claude Code Installation
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Please help me install this Skill: Name: paper_3d__utonia Download link: https://github.com/Gonglitian/agent-skills/archive/main.zip#paper-3d-utonia Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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