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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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Showing 2023Show all

7 papers · 1 filter

cs.CV2023★ 1 cited

VideoBooth: Diffusion-based Video Generation with Image Prompts

Yuming Jiang, Tianxing Wu, Shuai Yang +5

Text-driven video generation witnesses rapid progress. However, merely using text prompts is not enough to depict the desired subject appearance that accurately aligns with users'…

cs.CV2023★ 1 cited

DeformToon3D: Deformable 3D Toonification from Neural Radiance Fields

Junzhe Zhang, Yushi Lan, Shuai Yang +5

In this paper, we address the challenging problem of 3D toonification, which involves transferring the style of an artistic domain onto a target 3D face with stylized geometry and…

cs.CV2023★ 1 cited

Scenimefy: Learning to Craft Anime Scene via Semi-Supervised Image-to-Image Translation

Yuxin Jiang, Liming Jiang, Shuai Yang +1

Automatic high-quality rendering of anime scenes from complex real-world images is of significant practical value. The challenges of this task lie in the complexity of the scenes,…

cs.CV2023

GP-UNIT: Generative Prior for Versatile Unsupervised Image-to-Image Translation

Shuai Yang, Liming Jiang, Ziwei Liu +1

Recent advances in deep learning have witnessed many successful unsupervised image-to-image translation models that learn correspondences between two visual domains without paired…

cs.CV2023★ 1 cited

Rerender A Video: Zero-Shot Text-Guided Video-to-Video Translation

Shuai Yang, Yifan Zhou, Ziwei Liu +1

Large text-to-image diffusion models have exhibited impressive proficiency in generating high-quality images. However, when applying these models to video domain, ensuring temporal…

cs.CV2023★ 3 cited

Text2Performer: Text-Driven Human Video Generation

Yuming Jiang, Shuai Yang, Tong Liang Koh +3

Text-driven content creation has evolved to be a transformative technique that revolutionizes creativity. Here we study the task of text-driven human video generation, where a vide…

cs.CV2023

StyleGANEX: StyleGAN-Based Manipulation Beyond Cropped Aligned Faces

Shuai Yang, Liming Jiang, Ziwei Liu +1

Recent advances in face manipulation using StyleGAN have produced impressive results. However, StyleGAN is inherently limited to cropped aligned faces at a fixed image resolution i…