CLIP-Diffusion-LM: Apply Diffusion Model on Image Captioning

10 October 2022

Papers citing "CLIP-Diffusion-LM: Apply Diffusion Model on Image Captioning"

6 / 6 papers shown

Title
Diffusion-LM Improves Controllable Text Generation Xiang Lisa Li John Thickstun Ishaan Gulrajani Percy Liang Tatsunori B. Hashimoto AI4CE 166 768 0 27 May 2022
GroupViT: Semantic Segmentation Emerges from Text Supervision Jiarui Xu Shalini De Mello Sifei Liu Wonmin Byeon Thomas Breuel Jan Kautz X. Wang ViT VLM 175 494 0 22 Feb 2022
ActionCLIP: A New Paradigm for Video Action Recognition Mengmeng Wang Jiazheng Xing Yong Liu VLM 149 360 0 17 Sep 2021
Open-vocabulary Object Detection via Vision and Language Knowledge Distillation Xiuye Gu Tsung-Yi Lin Weicheng Kuo Yin Cui VLM ObjD 223 897 0 28 Apr 2021
CLIP4Clip: An Empirical Study of CLIP for End to End Video Clip Retrieval Huaishao Luo Lei Ji Ming Zhong Yang Chen Wen Lei Nan Duan Tianrui Li CLIP VLM 303 771 0 18 Apr 2021
Knowing When to Look: Adaptive Attention via A Visual Sentinel for Image Captioning Jiasen Lu Caiming Xiong Devi Parikh R. Socher 83 1,440 0 06 Dec 2016