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SUMMARY:From Pixels to Curves: Deep Learning–Based Techniques for Vector
  Graphic Creation - Ronghuan Wu\, City University of Hong Kong
DTSTART:20250724T130000Z
DTEND:20250724T140000Z
UID:TALK234535@talks.cam.ac.uk
CONTACT:Yancheng Cai
DESCRIPTION:As a form of computer graphics\, vector graphics represents vi
 sual content based directly on geometric shapes (via command lines and arg
 uments)\, and is widely used in scientific and artistic applications\, inc
 luding architecture\, surveying\, 3D rendering\, typography\, and graphic 
 design. Compared with raster graphics\, vector graphics is preferred when 
 a high degree of geometric precision is required across arbitrary scales\,
  among which Scalable Vector Graphics (SVG) is a popular vector graphics f
 ile format extensively employed in creative industries. Generally\, creati
 ng SVG content is difficult for non-professional users. It is tedious and 
 time-consuming to gain adequate knowledge of SVG grammars and/or master pr
 ofessional editing software such as Adobe Illustrator. This seminar aims t
 o provide a basic introduction to how recent advances in deep learning are
  used to improve vector‑graphics generation\, animation\, and vectorizat
 ion.\n\nZoom link:\nhttps://cam-ac-uk.zoom.us/j/89875598428?pwd=rzzh5WOnK4
 9HSeaO0I2Wsbz7EgDFbB.1\n
LOCATION:SS03 - William Gates Building
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