FunArt: Decoding Functional Structure and Articulation from Generative 3D Latents

arXiv:2609.20673 · cs.CV, cs.RO · Submitted 2026-09-17 · Read on arXiv

cs.CV, cs.RO

Submitted: 2026-09-17

Updated: 2026-09-17

Terminology

Instance Segmentation — 12× in this paper · explained in 3 episodes
Transformer — 7× in this paper · explained in 2 episodes
Accuracy — 3× in this paper · explained in 1 episode
Latent Representation — 3× in this paper · explained in 2 episodes
Affordance — 2× in this paper · explained in 1 episode
Benchmark — 2× in this paper · explained in 2 episodes
Fidelity — 2× in this paper · explained in 2 episodes
Graph Construction — 2× in this paper · explained in 3 episodes
Grounding — 2× in this paper · explained in 3 episodes
Ablation — 1× in this paper · explained in 1 episode
Abstraction — 1× in this paper · explained in 1 episode
Active Perception — 1× in this paper · explained in 2 episodes
Angular Error — 1× in this paper · explained in 1 episode
Computer Vision and Pattern Recognition — 1× in this paper
Core — 1× in this paper · explained in 2 episodes
Decode — 1× in this paper · explained in 2 episodes
Digital Twin — 1× in this paper · explained in 5 episodes
Downstream Tasks — 1× in this paper · explained in 2 episodes
Embeddings — 1× in this paper · explained in 2 episodes
Foundation Model — 1× in this paper · explained in 3 episodes
Foundation Models — 1× in this paper · explained in 7 episodes
International Conference on Computer Vision — 1× in this paper
Latent Space — 1× in this paper · explained in 7 episodes
Over-smoothing — 1× in this paper · explained in 4 episodes
Point Clouds — 1× in this paper · explained in 2 episodes
Regularization — 1× in this paper · explained in 3 episodes
Task Planning — 1× in this paper · explained in 2 episodes
Vision-Language Models (VLMs) — 1× in this paper · explained in 6 episodes
Vision-language models — 1× in this paper · explained in 2 episodes

Terminology

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