activity
20232025
most citedText-to-Vector Generation with Neural Path Representation

1 citations · 1 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2025

DuetSVG: Unified Multimodal SVG Generation with Internal Visual Guidance

Peiying Zhang, Nanxuan Zhao, Matthew Fisher +3

Recent vision-language model (VLM)-based approaches have achieved impressive results on SVG generation. However, because they generate only text and lack visual signals during deco…

cs.CV2025

Illustrator's Depth: Monocular Layer Index Prediction for Image Decomposition

Nissim Maruani, Peiying Zhang, Siddhartha Chaudhuri +6

We introduce Illustrator's Depth, a novel definition of depth that addresses a key challenge in digital content creation: decomposing flat images into editable, ordered layers. Ins…

cs.GR2025

Style Customization of Text-to-Vector Generation with Image Diffusion Priors

Peiying Zhang, Nanxuan Zhao, Jing Liao

Scalable Vector Graphics (SVGs) are highly favored by designers due to their resolution independence and well-organized layer structure. Although existing text-to-vector (T2V) gene…

cs.CV2024★ 1 cited

Text-to-Vector Generation with Neural Path Representation

Peiying Zhang, Nanxuan Zhao, Jing Liao

Vector graphics are widely used in digital art and highly favored by designers due to their scalability and layer-wise properties. However, the process of creating and editing vect…

cs.CV2023

Text-Guided Vector Graphics Customization

Peiying Zhang, Nanxuan Zhao, Jing Liao

Vector graphics are widely used in digital art and valued by designers for their scalability and layer-wise topological properties. However, the creation and editing of vector grap…