MultiCube: Compositional 3D Generation With Part-Level Semantic and Spatial Control

arXiv:2608.20448 · cs.GR, cs.CV · Submitted 2026-08-20 · Read on arXiv

cs.GR, cs.CV

Submitted: 2026-08-20

Updated: 2026-09-17

Project page: http://multi-cube.github.io

Terminology

• Alignment — 19× in this paper · explained in 1 episode
• Semantic Alignment — 8× in this paper · explained in 3 episodes
• Fidelity — 7× in this paper · explained in 2 episodes
• Diffusion Model — 6× in this paper · explained in 8 episodes
• Diffusion Models — 5× in this paper · explained in 6 episodes
• Transformer — 5× in this paper · explained in 2 episodes
• Ablation — 4× in this paper · explained in 1 episode
• Latent Space — 4× in this paper · explained in 7 episodes
• Consistency — 3× in this paper · explained in 3 episodes
• Generative Model — 3× in this paper · explained in 2 episodes
• Rectified Flow — 3× in this paper · explained in 3 episodes
• Ablation study — 2× in this paper · explained in 1 episode
• Chamfer Distance — 2× in this paper
• Distillation — 2× in this paper · explained in 2 episodes
• Fine-Tuning — 2× in this paper · explained in 5 episodes
• Generative Models — 2× in this paper · explained in 2 episodes
• ACM Transactions on Graphics — 1× in this paper
• Accuracy — 1× in this paper · explained in 1 episode
• AdamW Optimizer — 1× in this paper · explained in 1 episode
• Alignment Scores — 1× in this paper · explained in 1 episode
• Catastrophic Forgetting — 1× in this paper · explained in 5 episodes
• Decoupling — 1× in this paper · explained in 2 episodes
• Diffusion Process — 1× in this paper · explained in 2 episodes
• Embeddings — 1× in this paper · explained in 2 episodes
• Exposure Bias — 1× in this paper · explained in 2 episodes
• Flow Matching — 1× in this paper · explained in 8 episodes
• Generalization — 1× in this paper · explained in 13 episodes
• Generative AI — 1× in this paper · explained in 2 episodes
• Large Language Model (LLM) — 1× in this paper · explained in 3 episodes
• Large Language Models (LLMs) — 1× in this paper · explained in 6 episodes
• Latent Diffusion Model — 1× in this paper · explained in 2 episodes
• Latent Diffusion Models — 1× in this paper · explained in 2 episodes
• Latent Representation — 1× in this paper · explained in 2 episodes
• Latent Representations — 1× in this paper · explained in 3 episodes
• Loss Function — 1× in this paper · explained in 2 episodes
• Regularization — 1× in this paper · explained in 3 episodes
• Structural Constraints — 1× in this paper · explained in 2 episodes
• Structural Control — 1× in this paper · explained in 2 episodes
• Tokenization — 1× in this paper · explained in 2 episodes
• Variational Autoencoder (VAE) — 1× in this paper · explained in 3 episodes
• Vision-Language Model (VLM) — 1× in this paper · explained in 3 episodes

Sources

• PatchAlign3D: Local Feature Alignment for Dense 3D Shape Understanding
• LATTICE: Democratize High-Fidelity 3D Generation at Scale
• Hunyuan3D Studio: End-to-End AI Pipeline for Game-Ready 3D Asset Generation
• Step1X-3D: Towards High-Fidelity and Controllable Generation of Textured 3D Assets
• Sparc3D: Sparse Representation and Construction for High-Resolution 3D Shapes Modeling
• Cube: A Roblox View of 3D Intelligence

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