416 citations · 1.6k across the 85 of their papers we have counts for
4 papers · 1 filter
NÜWA-LIP: Language Guided Image Inpainting with Defect-free VQGAN
Minheng Ni, Chenfei Wu, Haoyang Huang +3
Language guided image inpainting aims to fill in the defective regions of an image under the guidance of text while keeping non-defective regions unchanged. However, the encoding p…
NÜWA: Visual Synthesis Pre-training for Neural visUal World creAtion
Chenfei Wu, Jian Liang, Lei Ji +4
This paper presents a unified multimodal pre-trained model called NÜWA that can generate new or manipulate existing visual data (i.e., images and videos) for various visual synthes…
Learning to Ground Visual Objects for Visual Dialog
Feilong Chen, Xiuyi Chen, Can Xu +1
Visual dialog is challenging since it needs to answer a series of coherent questions based on understanding the visual environment. How to ground related visual objects is one of t…
Unicoder-VL: A Universal Encoder for Vision and Language by Cross-modal Pre-training
Gen Li, Nan Duan, Yuejian Fang +3
We propose Unicoder-VL, a universal encoder that aims to learn joint representations of vision and language in a pre-training manner. Borrow ideas from cross-lingual pre-trained mo…