Reason out Your Layout: Evoking the Layout Master from Large Language
Models for Text-to-Image Synthesis

Reason out Your Layout: Evoking the Layout Master from Large Language Models for Text-to-Image Synthesis

28 November 2023

Jianbo Yuan

Hongxia Yang

Papers citing "Reason out Your Layout: Evoking the Layout Master from Large Language Models for Text-to-Image Synthesis"

7 / 7 papers shown

Title
Auto Cherry-Picker: Learning from High-quality Generative Data Driven by Language Yicheng Chen Xiangtai Li Yining Li Yanhong Zeng Jianzong Wu Xiangyu Zhao Kai Chen VLM DiffM 44 3 0 28 Jun 2024
Attribute-Centric Compositional Text-to-Image Generation Yuren Cong Martin Renqiang Min Erran L. Li Bodo Rosenhahn M. Yang 41 11 0 04 Jan 2023
Large Language Models are Zero-Shot Reasoners Takeshi Kojima S. Gu Machel Reid Yutaka Matsuo Yusuke Iwasawa ReLM LRM 291 2,712 0 24 May 2022
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models Jason W. Wei Xuezhi Wang Dale Schuurmans Maarten Bosma Brian Ichter F. Xia Ed H. Chi Quoc Le Denny Zhou LM&Ro LRM AI4CE ReLM 315 8,261 0 28 Jan 2022
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
Image Generation from Scene Graphs Justin Johnson Agrim Gupta Li Fei-Fei GNN 208 809 0 04 Apr 2018
U-Net: Convolutional Networks for Biomedical Image Segmentation Olaf Ronneberger Philipp Fischer Thomas Brox SSeg 3DV 226 74,467 0 18 May 2015