AmbiGen: Generating Ambigrams from Pre-trained Diffusion Model

5 December 2023

Papers citing "AmbiGen: Generating Ambigrams from Pre-trained Diffusion Model"

7 / 7 papers shown

Title
Diffusion Illusions: Hiding Images in Plain Sight R. Burgert Xiang Li Abe Leite Kanchana Ranasinghe Michael S. Ryoo 50 17 0 06 Dec 2023
DeepVecFont-v2: Exploiting Transformers to Synthesize Vector Fonts with Higher Quality Yuqing Wang Yizhi Wang L. Yu Yuesheng Zhu Zheng Lian 60 17 0 25 Mar 2023
Word-As-Image for Semantic Typography Shira Iluz Yael Vinker Amir Hertz Daniel Berio Daniel Cohen-Or Ariel Shamir DiffM 57 60 0 03 Mar 2023
Denoising Diffusion Restoration Models Bahjat Kawar Michael Elad Stefano Ermon Jiaming Song DiffM 212 783 0 27 Jan 2022
RePaint: Inpainting using Denoising Diffusion Probabilistic Models Andreas Lugmayr Martin Danelljan Andrés Romero F. I. F. Richard Yu Radu Timofte Luc Van Gool DiffM 218 1,355 0 24 Jan 2022
TrOCR: Transformer-based Optical Character Recognition with Pre-trained Models Minghao Li Tengchao Lv Jingye Chen Lei Cui Yijuan Lu D. Florêncio Cha Zhang Zhoujun Li Furu Wei ViT 98 343 0 21 Sep 2021
DeepSVG: A Hierarchical Generative Network for Vector Graphics Animation Alexandre Carlier Martin Danelljan Alexandre Alahi Radu Timofte 116 138 0 22 Jul 2020