TranSketch Dataset: Learning to Transform Sketches

Luming Chen

EECS Department
University of California, Berkeley
Technical Report No. UCB/EECS-2020-92
May 29, 2020

http://www2.eecs.berkeley.edu/Pubs/TechRpts/2020/EECS-2020-92.pdf

This report introduces a new dataset TranSketch, which is a collection of 20,032 tree sketch pairs, each accompanied with a natural language description describing the instructions needed to transform one sketch to the other. To provide more options for exploration, for each sketch, we also include a latent representation produced by the encoder of a Sketch-RNN model. The TranSketch dataset provides fine-grain transformation between stroke-based sketch pairs using stylistic content text descriptions. Our statistical analysis suggests tree component-level transformation to be the most promising direction for investigation, but there are certainly more to be explored for this dataset.

Advisor: John F. Canny


BibTeX citation:

@mastersthesis{Chen:EECS-2020-92,
    Author = {Chen, Luming},
    Title = {TranSketch Dataset: Learning to Transform Sketches},
    School = {EECS Department, University of California, Berkeley},
    Year = {2020},
    Month = {May},
    URL = {http://www2.eecs.berkeley.edu/Pubs/TechRpts/2020/EECS-2020-92.html},
    Number = {UCB/EECS-2020-92},
    Abstract = {This report introduces a new dataset TranSketch, which is a collection of 20,032 tree sketch pairs, each accompanied with a natural language description describing the instructions needed to transform one sketch to the other. To provide more options for exploration, for each sketch, we also include a latent representation produced by the encoder of a Sketch-RNN model. The TranSketch dataset provides fine-grain transformation between stroke-based sketch pairs using stylistic content text descriptions. Our statistical analysis suggests tree component-level transformation to be the most promising direction for investigation, but there are certainly more to be explored for this dataset.}
}

EndNote citation:

%0 Thesis
%A Chen, Luming
%T TranSketch Dataset: Learning to Transform Sketches
%I EECS Department, University of California, Berkeley
%D 2020
%8 May 29
%@ UCB/EECS-2020-92
%U http://www2.eecs.berkeley.edu/Pubs/TechRpts/2020/EECS-2020-92.html
%F Chen:EECS-2020-92