https://hackerpaper.kaipfister.de/p/1709.04121/Collected HN comments and submissions linking this paper.enMon, 02 Nov 2026 11:16:22 GMThttps://news.ycombinator.com/item?id=16850977urn:hackerpapers:mention:1709.04121:16850977Mon, 16 Apr 2018 17:38:53 GMT<p>Hey sabertoothed, If you are planning on training a generative model on vector graphics data, in a sequence-to-sequence style (like sketch-rnn), you might find it difficult for an encoder to capture all of the spatial elements in a coherent manner. One way is to also (as the other commenter pointed out) rasterize the input vector image and feed it into a convnet to extract features, and get the decoder to also use those features. This has been attempted in this paper [1] where they extended sketch-rnn to have a convnet encoder and showed better results. But if you want to just have a lot of…</p><p><a href="https://hackerpaper.kaipfister.de/p/1709.04121/">Paper and discussion history</a>. A mention is not an endorsement.</p>cs.CV