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.GR2026

Monte Carlo Rendering to Diffusion Curves with Differential BEM

Ryusuke Sugimoto, Christopher Batty, Siddhartha Chaudhuri +4

We present a method for generating vector graphics, in the form of diffusion curves, directly from noisy samples produced by a Monte Carlo renderer. While generating raster images…

cs.GR2025

Residual Primitive Fitting of 3D Shapes with SuperFrusta

Aditya Ganeshan, Matheus Gadelha, Thibault Groueix +5

We introduce a framework for converting 3D shapes into compact and editable assemblies of analytic primitives, directly addressing the persistent trade-off between reconstruction f…

cs.GR2025

ART-DECO: Arbitrary Text Guidance for 3D Detailizer Construction

Qimin Chen, Yuezhi Yang, Wang Yifan +4

We introduce a 3D detailizer, a neural model which can instantaneously (in <1s) transform a coarse 3D shape proxy into a high-quality asset with detailed geometry and texture as gu…

cs.GR2025

GenVDM: Generating Vector Displacement Maps From a Single Image

Yuezhi Yang, Qimin Chen, Vladimir G. Kim +3

We introduce the first method for generating Vector Displacement Maps (VDMs): parameterized, detailed geometric stamps commonly used in 3D modeling. Given a single input image, our…