Sketches are highly expressive, inherently capturing subjective and fine-grained visual
cues. The exploration of such innate properties of human sketches has, however, been …

In this paper, we extend scene understanding to include that of human sketch. The result is a
complete trilogy of scene representation from three diverse and complementary modalities …

The problem of sketch semantic segmentation is far from being solved. Despite existing
methods exhibiting near-saturating performances on simple sketches with high …

Sketch is a well-researched topic in the vision community by now. Sketch semantic
segmentation in particular, serves as a fundamental step towards finer-level sketch …

We study the underexplored but fundamental vision problem of machine understanding of
abstract freehand scene sketches. We introduce a sketch encoder that results in …

Part-level 3D shape representations are crucial to shape reasoning and understanding. Two
key sub-tasks are: 1) shape abstraction, creating primitive-based object parts; and 2) shape …

Recently, encoders like ViT (vision transformer) and ResNet have been trained on vast
datasets and utilized as perceptual metrics for comparing sketches and images, as well as …

We propose PICASSO, a novel framework CAD sketch parameterization from hand-drawn or
precise sketch images via rendering self-supervision. Given a drawing of a CAD sketch, the …

Graphic sketch representations are effective for representing sketches. Existing methods
take the patches cropped from sketches as the graph nodes, and construct the edges based …

This work addresses scaling up the sketch classification task into a large number of
categories. Collecting sketches for training is a slow and tedious process that has so far …