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Přednáška - Adrien Bousseau - OpenSketch: A Richly-Annotated Dataset of Product Design Sketches

19.11.2019   10:00

Krátká anotace přednášky: Product designers extensively use sketches to create and communicate 3D shapes and thus form an ideal audience for sketch-based modeling, nonphotorealistic rendering and sketch filtering. However, sketching requires significant expertise and time, making design sketches a scarce resource for the research community. We introduce OpenSketch, a dataset of product design sketches aimed at offering a rich source of information for a variety of computer-aided design tasks. OpenSketch contains more than 400 sketches representing 12 man-made objects drawn by 7 to 15 product designers of varying expertise. We provided participants with front, side and top views of these objects, and instructed them to draw from two novel perspective viewpoints. This drawing task forces designers to construct the shape from their mental vision rather than directly copy what they see. They achieve this task by employing a variety of sketching techniques and methods not observed in prior datasets. Together with industrial design teachers, we distilled a taxonomy of line types and used it to label each stroke of the 214 sketches drawn from one of the two viewpoints. While some of these lines have long been known in computer graphics, others remain to be reproduced algorithmically or exploited for shape inference. In addition, we also asked participants to produce clean presentation drawings from each of their sketches, resulting in aligned pairs of drawings of different styles. Finally, we registered each sketch to its reference 3D model by annotating sparse correspondences. We provide an analysis of our annotated sketches, which reveals systematic drawing strategies over time and shapes, as well as a positive correlation between presence of construction lines and accuracy. Our sketches, in combination with provided annotations, form challenging benchmarks for existing algorithms as well as a great source of inspiration for future developments. We illustrate the versatility of our data by using it to test a 3D reconstruction deep network trained on synthetic drawings, as well as to train a filtering network to convert concept sketches into presentation drawings. We distribute our dataset under the Creative Commons CC0 license: https://ns.inria.fr/d3/OpenSketch/

Bio: Adrien Bousseau is a researcher at Inria Sophia-Antipolis in the GraphDeco research group. He did his PhD at Inria Rhône-Alpes and his postdoc at UC Berkeley. He also did several internships at Adobe Research. Adrien does research on image creation and manipulation, with a focus on drawings and photographs. Most notably he did some work on image stylization, image editing and relighting, vector graphics and sketch-based modeling. He received one of the three Eurographics 2011 PhD award for his research on expressive image manipulations and a young researcher award from the French National Research Agency (ANR) for his work on computer-assisted drawing. He received an ERC Starting Grant to work on drawing interpretation for 3D design.

Místo konání
ČVUT FEL, místnost KN:E-112 (Karlovo náměstí 13, Praha 2, budova E)
Katedra počítačové grafiky a interakce
Kontaktní osoba
prof. Ing. Daniel Sýkora, Ph.D.
Podrobnější informace