Prefix-diffusion: A Lightweight Diffusion Model for Diverse Image
Captioning

Prefix-diffusion: A Lightweight Diffusion Model for Diverse Image Captioning

10 September 2023

Zhengcong Fei

Papers citing "Prefix-diffusion: A Lightweight Diffusion Model for Diverse Image Captioning"

7 / 7 papers shown

Title
Linear Alignment of Vision-language Models for Image Captioning Fabian Paischer M. Hofmarcher Sepp Hochreiter Thomas Adler CLIP VLM 47 0 0 10 Jul 2023
Text-Only Training for Image Captioning using Noise-Injected CLIP David Nukrai Ron Mokady Amir Globerson VLM CLIP 63 94 0 01 Nov 2022
Visualize Before You Write: Imagination-Guided Open-Ended Text Generation Wanrong Zhu An Yan Yujie Lu Wenda Xu Qing Guo Miguel P. Eckstein William Yang Wang 82 37 0 07 Oct 2022
Diffusion-LM Improves Controllable Text Generation Xiang Lisa Li John Thickstun Ishaan Gulrajani Percy Liang Tatsunori B. Hashimoto AI4CE 173 777 0 27 May 2022
Improving Image Captioning by Leveraging Intra- and Inter-layer Global Representation in Transformer Network Jiayi Ji Yunpeng Luo Xiaoshuai Sun Fuhai Chen Gen Luo Yongjian Wu Yue Gao Rongrong Ji ViT 51 170 0 13 Dec 2020
Unified Vision-Language Pre-Training for Image Captioning and VQA Luowei Zhou Hamid Palangi Lei Zhang Houdong Hu Jason J. Corso Jianfeng Gao MLLM VLM 252 927 0 24 Sep 2019
Neural Baby Talk Jiasen Lu Jianwei Yang Dhruv Batra Devi Parikh VLM 200 434 0 27 Mar 2018