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20172023
most citedDomain Enhanced Arbitrary Image Style Transfer via Contrastive Learning

209 citations · 397 across the 24 of their papers we have counts for

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Showing 2022Show all

6 papers · 1 filter

cs.CV2022★ 1 cited

Inversion-Based Style Transfer with Diffusion Models

Yuxin Zhang, Nisha Huang, Fan Tang +4

The artistic style within a painting is the means of expression, which includes not only the painting material, colors, and brushstrokes, but also the high-level attributes includi…

cs.CV2022★ 5 cited

DiffStyler: Controllable Dual Diffusion for Text-Driven Image Stylization

Nisha Huang, Yuxin Zhang, Fan Tang +5

Despite the impressive results of arbitrary image-guided style transfer methods, text-driven image stylization has recently been proposed for transferring a natural image into a st…

cs.CV2022★ 209 cited

Domain Enhanced Arbitrary Image Style Transfer via Contrastive Learning

Yuxin Zhang, Fan Tang, Weiming Dong +4

In this work, we tackle the challenging problem of arbitrary image style transfer using a novel style feature representation learning method. A suitable style representation, as a…

cs.CV2022★ 9 cited

Towards Self-Supervised Category-Level Object Pose and Size Estimation

Yisheng He, Haoqiang Fan, Haibin Huang +2

In this work, we tackle the challenging problem of category-level object pose and size estimation from a single depth image. Although previous fully-supervised works have demonstra…

eess.IV2022★ 8 cited

Deep Constrained Least Squares for Blind Image Super-Resolution

Ziwei Luo, Haibin Huang, Lei Yu +3

In this paper, we tackle the problem of blind image super-resolution(SR) with a reformulated degradation model and two novel modules. Following the common practices of blind SR, ou…

cs.CV2022★ 1 cited

Point cloud completion via structured feature maps using a feedback network

Zejia Su, Haibin Huang, Chongyang Ma +2

In this paper, we tackle the challenging problem of point cloud completion from the perspective of feature learning. Our key observation is that to recover the underlying structure…