210 citations · 1.2k across the 58 of their papers we have counts for
11 papers · 1 filter
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…
PeCo: Perceptual Codebook for BERT Pre-training of Vision Transformers
Xiaoyi Dong, Jianmin Bao, Ting Zhang +7
This paper explores a better prediction target for BERT pre-training of vision transformers. We observe that current prediction targets disagree with human perception judgment.This…
Exploring Temporal Coherence for More General Video Face Forgery Detection
Yinglin Zheng, Jianmin Bao, Dong Chen +2
Although current face manipulation techniques achieve impressive performance regarding quality and controllability, they are struggling to generate temporal coherent face videos. I…
Dual Path Learning for Domain Adaptation of Semantic Segmentation
Yiting Cheng, Fangyun Wei, Jianmin Bao +3
Domain adaptation for semantic segmentation enables to alleviate the need for large-scale pixel-wise annotations. Recently, self-supervised learning (SSL) with a combination of ima…
Instance-wise Hard Negative Example Generation for Contrastive Learning in Unpaired Image-to-Image Translation
Weilun Wang, Wengang Zhou, Jianmin Bao +2
Contrastive learning shows great potential in unpaired image-to-image translation, but sometimes the translated results are in poor quality and the contents are not preserved consi…