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Qiangya Guo

3 accepted papers

2026

Plan then Act: Bi-level CAD Command Sequence Generation

ICLR 2026poster

Computer-Aided Design (CAD), renowned for its flexibility and precision, serves as the foundation of digital design. Recently, some efforts adopt Large Language Models (LLMs) for generating parametric CAD command sequences from text instructions. However, our study reveals that LLMs pre-trained on l…

Cited by 0SourcecodeScholar
2025

Beyond Isolated Words: Diffusion Brush for Handwritten Text-Line Generation

ICCV 2025poster

Existing handwritten text generation methods primarily focus on isolated words. However, realistic handwritten text demands attention not only to individual words but also to the relationships between them, such as vertical alignment and horizontal spacing. Therefore, generating entire text line eme…

2024

One-Shot Diffusion Mimicker for Handwritten Text Generation

ECCV 2024poster

"Existing handwritten text generation methods often require more than ten handwriting samples as style references. However, in practical applications, users tend to prefer a handwriting generation model that operates with just a single reference sample for its convenience and efficiency. This approa…