From 7e96bba2d877a59b60c66eb5ea00e661df6a0ad4 Mon Sep 17 00:00:00 2001 From: Jinpeng Yu Date: Tue, 27 Aug 2024 19:52:48 +0800 Subject: [PATCH] update a paper --- README.md | 1 + 1 file changed, 1 insertion(+) diff --git a/README.md b/README.md index aa90dd4..a9d155b 100644 --- a/README.md +++ b/README.md @@ -35,6 +35,7 @@ This is a niche area, which is increasingly receiving attention from the communi - A Parse-Then-Place Approach for Generating Graphic Layouts from Textual Descriptions (**ICCV** 2023) [[Paper]](https://arxiv.org/abs/2308.12700) [[Code]](https://github.com/microsoft/LayoutGeneration) - LayoutDiffusion: Improving Graphic Layout Generation by Discrete Diffusion Probabilistic Models (**ICCV** 2023) [[Paper]](https://arxiv.org/abs/2303.11589) [[Code]](https://github.com/microsoft/LayoutGeneration) - DLT: Conditioned layout generation with Joint Discrete-Continuous Diffusion Layout Transformer (**ICCV** 2023) [[Project page]](https://wix-incubator.github.io/DLT/) [[Paper]](https://arxiv.org/abs/2303.03755) [[Code]](https://github.com/wix-incubator/DLT) +- AutoPoster: A Highly Automatic and Content-aware Design System for Advertising Poster Generation (**MM** 2023) [[Paper]](https://arxiv.org/abs/2308.01095) - Diffusion-based Document Layout Generation (**ICDAR** 2023) [[Paper]](https://arxiv.org/abs/2303.10787) - Unifying Layout Generation with a Decoupled Diffusion Model (**CVPR** 2023) [[Paper]](https://arxiv.org/abs/2303.05049) - LayoutDM: Discrete Diffusion Model for Controllable Layout Generation (**CVPR** 2023) [[Paper]](https://arxiv.org/abs/2303.08137) [[Code]](https://github.com/CyberAgentAILab/layout-dm)