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20172025
most citedFaceShifter: Towards High Fidelity And Occlusion Aware Face Swapping

210 citations · 1k across the 55 of their papers we have counts for

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Showing 2021Show all

11 papers · 1 filter

cs.CV2021★ 12 cited

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…

cs.CV2021★ 5 cited

General Facial Representation Learning in a Visual-Linguistic Manner

Yinglin Zheng, Hao Yang, Ting Zhang +7

How to learn a universal facial representation that boosts all face analysis tasks? This paper takes one step toward this goal. In this paper, we study the transfer performance of…

cs.CV2021★ 40 cited

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…

cs.CV2021★ 32 cited

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…

cs.CV2021★ 15 cited

SimMIM: A Simple Framework for Masked Image Modeling

Zhenda Xie, Zheng Zhang, Yue Cao +5

This paper presents SimMIM, a simple framework for masked image modeling. We simplify recently proposed related approaches without special designs such as block-wise masking and to…

cs.CV2021

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…

cs.CV2021

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…

cs.CV2021

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…

cs.CV2021★ 102 cited

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-…

cs.CV2021★ 110 cited

Uformer: A General U-Shaped Transformer for Image Restoration

Zhendong Wang, Xiaodong Cun, Jianmin Bao +3

In this paper, we present Uformer, an effective and efficient Transformer-based architecture for image restoration, in which we build a hierarchical encoder-decoder network using t…

cs.CV2021★ 5 cited

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…