Generative AI has made significant progress in recent years, with text-guided content
generation being the most practical as it facilitates interaction between human instructions …

Standard clothing asset generation involves creating forward-facing flat-lay garment images
displayed on a clear background by extracting clothing information from diverse real-world …

We introduce ChatGarment, a novel approach that leverages large vision-language models
(VLMs) to automate the estimation, generation, and editing of 3D garments from images or …

High-fidelity 3D garment synthesis from text is desirable yet challenging for digital avatar
creation. Recent diffusion-based approaches via Score Distillation Sampling (SDS) have …

The capability to generate simulation‐ready garment models from 3D shapes of clothed
people will significantly enhance the interpretability of captured geometry of real garments …

Recent advances in large models have significantly advanced image-to-3D reconstruction.
However, the generated models are often fused into a single piece, limiting their applicability …

While recent advancements have shown remarkable progress in general 3D shape
generation models, the challenge of leveraging these approaches to automatically generate …

We introduce SimAvatar, a framework designed to generate simulation-ready clothed 3D
human avatars from a text prompt. Current text-driven human avatar generation methods …

Recent advancements in diffusion models have significantly broadened the possibilities for
editing images of real-world objects. However, performing non-rigid transformations, such as …

Generating sewing patterns in garment design is receiving increasing attention due to its CG-
friendly and flexible-editing nature. Previous sewing pattern generation methods have been …