210 citations · 1.2k across the 58 of their papers we have counts for
11 papers · 2 filters
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…
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-…
Robust Mutual Learning for Semi-supervised Semantic Segmentation
Pan Zhang, Bo Zhang, Ting Zhang +2
Recent semi-supervised learning (SSL) methods are commonly based on pseudo labeling. Since the SSL performance is greatly influenced by the quality of pseudo labels, mutual learnin…
High-Fidelity and Arbitrary Face Editing
Yue Gao, Fangyun Wei, Jianmin Bao +4
Cycle consistency is widely used for face editing. However, we observe that the generator tends to find a tricky way to hide information from the original image to satisfy the cons…
Style-based Point Generator with Adversarial Rendering for Point Cloud Completion
Chulin Xie, Chuxin Wang, Bo Zhang +3
In this paper, we proposed a novel Style-based Point Generator with Adversarial Rendering (SpareNet) for point cloud completion. Firstly, we present the channel-attentive EdgeConv…
Prototypical Pseudo Label Denoising and Target Structure Learning for Domain Adaptive Semantic Segmentation
Pan Zhang, Bo Zhang, Ting Zhang +3
Self-training is a competitive approach in domain adaptive segmentation, which trains the network with the pseudo labels on the target domain. However inevitably, the pseudo labels…