6 citations · 20 across the 16 of their papers we have counts for
6 papers · 1 filter
VIDiff: Translating Videos via Multi-Modal Instructions with Diffusion Models
Zhen Xing, Qi Dai, Shuyuan Tu +5
Diffusion models have achieved significant success in image and video generation. This motivates a growing interest in video editing tasks, where videos are edited according to pro…
AdaDiff: Adaptive Step Selection for Fast Diffusion Models
Hui Zhang, Zuxuan Wu, Zhen Xing +2
Diffusion models, as a type of generative model, have achieved impressive results in generating images and videos conditioned on textual conditions. However, the generation process…
A Survey on Video Diffusion Models
Zhen Xing, Qijun Feng, Haoran Chen +5
The recent wave of AI-generated content (AIGC) has witnessed substantial success in computer vision, with the diffusion model playing a crucial role in this achievement. Due to the…
PanoSwin: a Pano-style Swin Transformer for Panorama Understanding
Zhixin Ling, Zhen Xing, Xiangdong Zhou +2
In panorama understanding, the widely used equirectangular projection (ERP) entails boundary discontinuity and spatial distortion. It severely deteriorates the conventional CNNs an…
SimDA: Simple Diffusion Adapter for Efficient Video Generation
Zhen Xing, Qi Dai, Han Hu +2
The recent wave of AI-generated content has witnessed the great development and success of Text-to-Image (T2I) technologies. By contrast, Text-to-Video (T2V) still falls short of e…
TranSFormer: Slow-Fast Transformer for Machine Translation
Bei Li, Yi Jing, Xu Tan +3
Learning multiscale Transformer models has been evidenced as a viable approach to augmenting machine translation systems. Prior research has primarily focused on treating subwords…