collaborators

5 papers

cs.CV2026

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.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.GR2025

Bezier Splatting for Fast and Differentiable Vector Graphics Rendering

Xi Liu, Chaoyi Zhou, Nanxuan Zhao +1

Differentiable vector graphics (VGs) are widely used in image vectorization and vector synthesis, while existing representations are costly to optimize and struggle to achieve high…

cs.LG2025

Mean-Shift Distillation for Diffusion Mode Seeking

Vikas Thamizharasan, Nikitas Chatzis, Iliyan Georgiev +5

We present mean-shift distillation, a novel diffusion distillation technique that provides a provably good proxy for the gradient of the diffusion output distribution. This is deri…

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…