hardmaru: DeepSVG: A Hierarchical Generative Network for Vector Graphics Animation
Exciting work from @alxandrecarlier et al. Transformer-based hierarchical generative models learn latent representations of vector graphics, with nice applications in SVG animation.
7 replies, 309 likes
AK: DeepSVG: A Hierarchical Generative Network for Vector Graphics Animation
abs: https://arxiv.org/abs/2007.11301 https://t.co/2moB2SHmFX
0 replies, 158 likes
Alexandre Carlier: Excited to announce that "DeepSVG: A Hierarchical Generative Network for Vector Graphics Animation" has been accepted to #NeurIPS!
If you're interested in vector graphics & sketch generation, feel free to check it out
1 replies, 119 likes
Martin Danelljan: So happy for @alxandrecarlier that our work DeepSVG was accepted at #neurips2020. Generation of vector graphics is a very underexplored subject. In the paper we introduce a new dataset and method.
Check out the amazing repository by @alxandrecarlier!
0 replies, 24 likes
Alexandre Carlier: The paper (and code) is now online!
project page: https://alexandre01.github.io/deepsvg
1 replies, 23 likes
Alexandre Carlier: @Thom_Wolf Using Hierarchical Transformers for SVG generation! (😉)
0 replies, 7 likes
Found on Jul 23 2020 at https://arxiv.org/pdf/2007.11301.pdf