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20222025
most citedText2Human: Text-Driven Controllable Human Image Generation

15 citations · 45 across the 19 of their papers we have counts for

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5 papers · 1 filter

cs.CV2022★ 2 cited

Self-Supervised Geometry-Aware Encoder for Style-Based 3D GAN Inversion

Yushi Lan, Xuyi Meng, Shuai Yang +2

StyleGAN has achieved great progress in 2D face reconstruction and semantic editing via image inversion and latent editing. While studies over extending 2D StyleGAN to 3D faces hav…

cs.CV2022★ 7 cited

VToonify: Controllable High-Resolution Portrait Video Style Transfer

Shuai Yang, Liming Jiang, Ziwei Liu +1

Generating high-quality artistic portrait videos is an important and desirable task in computer graphics and vision. Although a series of successful portrait image toonification mo…

cs.CV2022★ 15 cited

Text2Human: Text-Driven Controllable Human Image Generation

Yuming Jiang, Shuai Yang, Haonan Qiu +3

Generating high-quality and diverse human images is an important yet challenging task in vision and graphics. However, existing generative models often fall short under the high di…

cs.CV2022★ 2 cited

Unsupervised Image-to-Image Translation with Generative Prior

Shuai Yang, Liming Jiang, Ziwei Liu +1

Unsupervised image-to-image translation aims to learn the translation between two visual domains without paired data. Despite the recent progress in image translation models, it re…

cs.CV2022★ 10 cited

Pastiche Master: Exemplar-Based High-Resolution Portrait Style Transfer

Shuai Yang, Liming Jiang, Ziwei Liu +1

Recent studies on StyleGAN show high performance on artistic portrait generation by transfer learning with limited data. In this paper, we explore more challenging exemplar-based h…