SewFusion: Tailored Generation of Topology and Panel-Level Geometry for Sewing Patterns

arXiv:2609.23548 · cs.CV · Submitted 2026-09-20 · Read on arXiv

cs.CV

Submitted: 2026-09-20

Updated: 2026-09-20

Project page: https://jason96a.github.io/SewFusion

Terminology

• Accuracy — 17× in this paper · explained in 1 episode
• Transformer — 11× in this paper · explained in 2 episodes
• ACM Transactions on Graphics — 9× in this paper
• Robustness — 8× in this paper · explained in 5 episodes
• Ablation — 5× in this paper · explained in 1 episode
• Latent Space — 5× in this paper · explained in 7 episodes
• Flow Matching — 4× in this paper · explained in 7 episodes
• Latent Representation — 4× in this paper · explained in 2 episodes
• Alignment — 2× in this paper · explained in 1 episode
• Diffusion Model — 2× in this paper · explained in 8 episodes
• Distillation — 2× in this paper · explained in 2 episodes
• Embeddings — 2× in this paper · explained in 2 episodes
• Exposure Bias — 2× in this paper · explained in 2 episodes
• Fidelity — 2× in this paper · explained in 2 episodes
• KL Regularization — 2× in this paper · explained in 2 episodes
• Regularization — 2× in this paper · explained in 3 episodes
• Ablation Studies — 1× in this paper · explained in 1 episode
• Absolute Indices — 1× in this paper · explained in 1 episode
• Consistency — 1× in this paper · explained in 3 episodes
• Core — 1× in this paper · explained in 2 episodes
• Decoupling — 1× in this paper · explained in 2 episodes
• Diffusion Models — 1× in this paper · explained in 6 episodes
• Foundation Model — 1× in this paper · explained in 3 episodes
• Generalization — 1× in this paper · explained in 13 episodes
• Instruction Tuning — 1× in this paper · explained in 2 episodes
• Latent Representations — 1× in this paper · explained in 3 episodes
• Multimodal Inputs — 1× in this paper · explained in 2 episodes
• Point Clouds — 1× in this paper · explained in 2 episodes
• Structural Constraints — 1× in this paper · explained in 2 episodes

Sources

• End-to-End Training for Autoregressive Video Diffusion via Self-Resampling
• GarmentDiffusion: 3D Garment Sewing Pattern Generation with Multimodal Diffusion Transformers
• VPG: Visual Prefix Guidance for Autoregressive Image and Video Generation
• Rolling Forcing: Autoregressive Long Video Diffusion in Real Time
• Garment Particles: A 2D--3D Symmetric Garment Representation for Generation and Editing
• AutoSew: A Geometric Approach to Stitching Prediction with Graph Neural Networks
• Learning-based Seam Correspondence Reconstruction in Sewing Patterns
• LongLive: Real-time Interactive Long Video Generation
• DressWild: Feed-Forward Pose-Agnostic Garment Sewing Pattern Generation from In-the-Wild Images
• Causal Forcing: Autoregressive Diffusion Distillation Done Right for High-Quality Real-Time Interactive Video Generation

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