April 2, 2024, 7:43 p.m. | Ayan Banerjee, Nityanand Mathur, Josep Llad\'os, Umapada Pal, Anjan Dutta

cs.LG updates on arXiv.org arxiv.org

arXiv:2404.00412v1 Announce Type: cross
Abstract: Generating VectorArt from text prompts is a challenging vision task, requiring diverse yet realistic depictions of the seen as well as unseen entities. However, existing research has been mostly limited to the generation of single objects, rather than comprehensive scenes comprising multiple elements. In response, this work introduces SVGCraft, a novel end-to-end framework for the creation of vector graphics depicting entire scenes from textual descriptions. Utilizing a pre-trained LLM for layout generation from text prompts, …

arxiv beyond canvas cs.cv cs.lg object svg synthesis text type

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