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VGBench: Evaluating Large Language Models on Vector Graphics
  Understanding and Generation

VGBench: Evaluating Large Language Models on Vector Graphics Understanding and Generation

15 July 2024
Bocheng Zou
Mu Cai
Jianrui Zhang
Yong Jae Lee
ArXivPDFHTML

Papers citing "VGBench: Evaluating Large Language Models on Vector Graphics Understanding and Generation"

4 / 4 papers shown
Title
Can Large Language Models Understand Symbolic Graphics Programs?
Can Large Language Models Understand Symbolic Graphics Programs?
Zeju Qiu
Weiyang Liu
Haiwen Feng
Zhen Liu
Tim Z. Xiao
Katherine M. Collins
J. Tenenbaum
Adrian Weller
Michael J. Black
Bernhard Schölkopf
46
11
0
15 Aug 2024
Sparks of Artificial General Intelligence: Early experiments with GPT-4
Sparks of Artificial General Intelligence: Early experiments with GPT-4
Sébastien Bubeck
Varun Chandrasekaran
Ronen Eldan
J. Gehrke
Eric Horvitz
...
Scott M. Lundberg
Harsha Nori
Hamid Palangi
Marco Tulio Ribeiro
Yi Zhang
ELM
AI4MH
AI4CE
ALM
203
2,232
0
22 Mar 2023
Zero-Shot Text-to-Image Generation
Zero-Shot Text-to-Image Generation
Aditya A. Ramesh
Mikhail Pavlov
Gabriel Goh
Scott Gray
Chelsea Voss
Alec Radford
Mark Chen
Ilya Sutskever
VLM
253
4,735
0
24 Feb 2021
DeepSVG: A Hierarchical Generative Network for Vector Graphics Animation
DeepSVG: A Hierarchical Generative Network for Vector Graphics Animation
Alexandre Carlier
Martin Danelljan
Alexandre Alahi
Radu Timofte
114
136
0
22 Jul 2020
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