We propose a method for reconstructing 3D shapes from 2D sketches in the form of line
drawings. Our method takes as input a single sketch, or multiple sketches, and outputs a …

Reconstructing a 3D shape based on a single sketch image is challenging due to the large
domain gap between a sparse, irregular sketch and a regular, dense 3D shape. Existing …

Reconstructing 3D shape from 2D sketches has long been an open problem because the
sketches only provide very sparse and ambiguous information. In this paper, we use an …

3D shape reconstruction from multiple hand-drawn sketches is an intriguing way to 3D
shape modeling. Currently, state-of-the-art methods employ neural networks to learn a …

Sketches are arguably the most abstract 2D representations of real-world objects. Although
a sketch usually has geometrical distortion and lacks visual cues, humans can effortlessly …

Abstract 3D object reconstruction from a single image is a highly under-determined problem,
requiring strong prior knowledge of plausible 3D shapes. This introduces challenge for …

Retrieving 3D models from 2D human sketches has received considerable attention in the
areas of graphics, image retrieval, and computer vision. Almost always in state of the art …

We investigate the problem of generating 3D meshes from single free-hand sketches,
aiming at fast 3D modeling for novice users. It can be regarded as a single-view …

In this paper, for the first time, we investigate the problem of generating 3D shapes from
professional 2D sketches via deep learning. We target sketches done by professional artists …

Retrieving 3D shapes with sketches is a challenging problem since 2D sketches and 3D
shapes are from two heterogeneous domains, which results in large discrepancy between …