PART: Learning 3D Part Assembly and Retrieval with Transformers

arXiv:2609.19872 · cs.CV, cs.GR · Submitted 2026-09-17 · Read on arXiv

cs.CV, cs.GR

Submitted: 2026-09-17

Updated: 2026-09-17

Project page: https://iambrc.github.io/PART-project-page

Terminology

• Transformer — 44× in this paper · explained in 2 episodes
• Point Clouds — 6× in this paper · explained in 2 episodes
• Accuracy — 5× in this paper · explained in 1 episode
• Ablation — 4× in this paper · explained in 1 episode
• Abstraction — 4× in this paper · explained in 1 episode
• Generalization — 4× in this paper · explained in 13 episodes
• Benchmark — 3× in this paper · explained in 2 episodes
• Consistency — 3× in this paper · explained in 3 episodes
• Transformer Architecture — 3× in this paper · explained in 2 episodes
• Unified Framework — 3× in this paper · explained in 5 episodes
• ACM Transactions On Graphics — 2× in this paper
• Ablation Studies — 2× in this paper · explained in 1 episode
• Attention Mechanism — 2× in this paper · explained in 2 episodes
• Generative Model — 2× in this paper · explained in 2 episodes
• Generative Models — 2× in this paper · explained in 2 episodes
• Instance Segmentation — 2× in this paper · explained in 3 episodes
• Knowledge Graph — 2× in this paper · explained in 7 episodes
• Physical Constraints — 2× in this paper · explained in 7 episodes
• Segmentation Masks — 2× in this paper · explained in 2 episodes
• Ablation study — 1× in this paper · explained in 1 episode
• Alignment — 1× in this paper · explained in 1 episode
• Connectivity Accuracy — 1× in this paper
• Cross-Attention Mechanism — 1× in this paper · explained in 2 episodes
• Diffusion Model — 1× in this paper · explained in 8 episodes
• Diffusion Models — 1× in this paper · explained in 6 episodes
• Feature Extraction — 1× in this paper · explained in 2 episodes
• Fidelity — 1× in this paper · explained in 2 episodes
• Flow Matching — 1× in this paper · explained in 8 episodes
• Flow Matching Model — 1× in this paper · explained in 2 episodes
• Generalizability — 1× in this paper · explained in 6 episodes
• Genetic Algorithm — 1× in this paper
• Large Language Models (LLMs) — 1× in this paper · explained in 6 episodes
• Loss Function — 1× in this paper · explained in 2 episodes
• Part Accuracy — 1× in this paper
• Reconstruction Error — 1× in this paper · explained in 2 episodes
• Regularization — 1× in this paper · explained in 3 episodes
• Robustness — 1× in this paper · explained in 5 episodes
• Shape Chamfer Distance — 1× in this paper
• Success Rate — 1× in this paper
• Zero-Shot Generalization — 1× in this paper · explained in 5 episodes

Sources

• ShapeNet: An Information-Rich 3D Model Repository
• A Large Dataset of Object Scans
• FullPart: Generating each 3D Part at Full Resolution
• An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
• Attention, Learn to Solve Routing Problems!
• Hunyuan3D 2.5: Towards High-Fidelity 3D Assets Generation with Ultimate Details
• Decoupled Weight Decay Regularization
• Train Short, Test Long: Attention with Linear Biases Enables Input Length Extrapolation
• Mask3D: Mask Transformer for 3D Semantic Instance Segmentation
• Manual2Skill++: Connector-Aware General Robotic Assembly from Instruction Manuals via Vision-Language Models
• PartNeXt: A Next-Generation Dataset for Fine-Grained and Hierarchical 3D Part Understanding
• Revisiting the Continuity of Rotation Representations in Neural Networks
• Hunyuan3D 2.0: Scaling Diffusion Models for High Resolution Textured 3D Assets Generation

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