13 citations · 18 across the 8 of their papers we have counts for
7 papers · 1 filter
Garment Particles: A 2D--3D Symmetric Garment Representation for Generation and Editing
Kiyohiro Nakayama, I-Chao Shen, Ruofan Liu +3
Practical garment design spans two modes: intuitive creation from high-level intent, such as a reference image or text description, and complex low-level editing across 2D sewing p…
LayoutRectifier: An Optimization-based Post-processing for Graphic Design Layout Generation
I-Chao Shen, Ariel Shamir, Takeo Igarashi
Recent deep learning methods can generate diverse graphic design layouts efficiently. However, these methods often create layouts with flaws, such as misalignment, unwanted overlap…
MeshLLM: Empowering Large Language Models to Progressively Understand and Generate 3D Mesh
Shuangkang Fang, I-Chao Shen, Yufeng Wang +6
We present MeshLLM, a novel framework that leverages large language models (LLMs) to understand and generate text-serialized 3D meshes. Our approach addresses key limitations in ex…
Low-Barrier Dataset Collection with Real Human Body for Interactive Per-Garment Virtual Try-On
Zaiqiang Wu, Yechen Li, Jingyuan Liu +4
Existing image-based virtual try-on methods are often limited to the front view and lack real-time performance. While per-garment virtual try-on methods have tackled these issues b…
Real-Time Per-Garment Virtual Try-On with Temporal Consistency for Loose-Fitting Garments
Zaiqiang Wu, I-Chao Shen, Takeo Igarashi
Per-garment virtual try-on methods collect garment-specific datasets and train networks tailored to each garment to achieve superior results. However, these approaches often strugg…
GarmentImage: Raster Encoding of Garment Sewing Patterns with Diverse Topologies
Yuki Tatsukawa, Anran Qi, I-Chao Shen +1
Garment sewing patterns are the design language behind clothing, yet their current vector-based digital representations weren't built with machine learning in mind. Vector-based re…