412 citations · 1k across the 31 of their papers we have counts for
9 papers · 1 filter
VirtualCube: An Immersive 3D Video Communication System
Yizhong Zhang, Jiaolong Yang, Zhen Liu +4
The VirtualCube system is a 3D video conference system that attempts to overcome some limitations of conventional technologies. The key ingredient is VirtualCube, an abstract repre…
StyleSwin: Transformer-based GAN for High-resolution Image Generation
Bowen Zhang, Shuyang Gu, Bo Zhang +5
Despite the tantalizing success in a broad of vision tasks, transformers have not yet demonstrated on-par ability as ConvNets in high-resolution image generative modeling. In this…
Vector Quantized Diffusion Model for Text-to-Image Synthesis
Shuyang Gu, Dong Chen, Jianmin Bao +5
We present the vector quantized diffusion (VQ-Diffusion) model for text-to-image generation. This method is based on a vector quantized variational autoencoder (VQ-VAE) whose laten…
Advancing High-Resolution Video-Language Representation with Large-Scale Video Transcriptions
Hongwei Xue, Tiankai Hang, Yanhong Zeng +5
We study joint video and language (VL) pre-training to enable cross-modality learning and benefit plentiful downstream VL tasks. Existing works either extract low-quality video fea…
Swin Transformer V2: Scaling Up Capacity and Resolution
Ze Liu, Han Hu, Yutong Lin +9
Large-scale NLP models have been shown to significantly improve the performance on language tasks with no signs of saturation. They also demonstrate amazing few-shot capabilities l…
CSWin Transformer: A General Vision Transformer Backbone with Cross-Shaped Windows
Xiaoyi Dong, Jianmin Bao, Dongdong Chen +5
We present CSWin Transformer, an efficient and effective Transformer-based backbone for general-purpose vision tasks. A challenging issue in Transformer design is that global self-…